This research was conducted from June to July 2025 in Binjai City, with the primary focus being analyzing the readiness of the Binjai City Regional Disaster Management Agency (BPBD) to implement a flood early warning system utilizing artificial intelligence (AI). The data collection process was conducted through a literature review, which involved reviewing various theories and previous research results regarding the application of AI and Internet of Things (IoT) technology in the context of disaster mitigation. Based on the results of the study, it was found that the use of technologies such as ultrasonic sensors, microcontrollers, fuzzy logic, and automatic notification systems can provide real-time warnings with a high level of accuracy and a fast response. This system enables early detection of rising river levels through automatic measurements, intelligent data processing, and sending notifications to authorities and affected communities within seconds. By integrating historical data and machine learning-based predictions, this system is also able to depict potential flooding before it occurs, providing a longer response time for evacuation. However, the readiness of the Binjai City BPBD still faces various challenges, such as limited digital infrastructure, the need for human resource training in the technology field, and inadequate budget allocation. Therefore, cross-sector collaboration and ongoing policy support are needed for optimal implementation of this system. The use of AI and IoT in early warning systems is not only technically relevant but also urgent in the face of increasing climate change and flood risks. A strategy involving cross-sector collaboration between government, academia, and the private sector is needed to develop an adaptive and sustainable early warning system.

Phishing is an evolving form of cybercrime that targets users' sensitive information through URL manipulation. Conventional detection methods such as blacklists and signature-based approaches have become increasingly inadequate in addressing the dynamic variations of modern phishing attacks. This study evaluates the effectiveness of Recurrent Neural Network (RNN) variants, such Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), and Gated Recurrent Unit (GRU), in detecting phishing threats based on URL data. The methodology involves a Systematic Literature Review (SLR) of scholarly publications from the past ten years, complemented by experimental implementation of the models using a public dataset from Kaggle. Literature findings show that Bi-LSTM consistently achieves the highest accuracy, up to 99%, while GRU stands out for its computational efficiency. Experimental results support these findings, with Bi-LSTM achieving an accuracy of 96.22%, GRU 96.29%, and LSTM 95.43%. Classification metrics indicate that RNN-based models perform very well in detecting benign and defacement URLs, although their performance on phishing URLs remains challenged, particularly in terms of recall. These results confirm that RNNs remain a promising approach for phishing detection systems, especially when integrated into hybrid models with complementary architectures. This study is expected to provide a foundation for developing precise and adaptive AI systems to combat increasingly sophisticated phishing threats.

This article aims to examine the role of leadership in mass media management through a case study of a private broadcasting institution in Indonesia. The focus of the research is on how leadership styles influence organizational performance, editorial decision-making, and operational effectiveness. A qualitative approach was employed, using in-depth interviews, participatory observation, and document analysis on a national private broadcasting institution. The findings reveal that visionary, communicative, and adaptive leadership plays a crucial role in fostering synergy across departments and enhancing responsiveness to the dynamics of the media industry. These results highlight the significance of strategic leadership in maintaining the sustainability and credibility of private broadcasting institutions amid the challenges of digitalization and increasingly competitive markets.

Informatics systems have an important role in improving the effectiveness of the learning process in schools. This study aims to analyze the effect of the application of informatics systems on the quality of learning. The research method used is an experimental study with a quantitative approach. Data were collected through observation, interviews, and questionnaires given to students and teachers. The results of the study indicate that the use of informatics systems, such as e-learning and technology-based academic management, can improve the efficiency of school administration and facilitate student access to learning materials. These findings indicate the importance of technology integration in the world of education.
 

The development of information technology has encouraged university libraries to innovate in disseminating information more effectively. Institutional repositories are present as one of the information repackaging products that aim to collect, manage, and disseminate scientific works of academicians in digital form. Repositories can be viewed as valuable assets of an institution that function as a means to improve the reputation of the institution. This study was implemented through a quantitative approach with a descriptive method. This approach was chosen to provide a systematic, factual, and accurate picture of the effectiveness of the directory as an information repackaging product at the Padang State University Library. The results of the study indicate that the use of information repackaging is in the high category in terms of reasons for use, interaction, and results felt by users, although there are still challenges in the completeness and personalization of content. This study recommends the need for continuous evaluation, development of more diverse information formats, and increasing librarian competence in understanding user needs so that the repository can function optimally as a medium for disseminating information and supporting the position of the institution.

This research investigates the implementation of Random Forest algorithms combined with Synthetic Minority Over-sampling Technique (SMOTE) to predict elementary school dropout rates in Indonesia, supporting the Indonesia Emas 2045 vision. A significant gap was identified in previous studies, which, despite utilizing artificial intelligence for dropout interventions, had not integrated temporal dimensions into data analysis. A temporal data-based classification model was developed using Indonesian Ministry of Education data from 2021-2023, incorporating lag features, delta calculations, and rolling statistics. Two models were implemented: one with SMOTE achieving 99% accuracy with perfect recall for high-risk regions, while the non-SMOTE model reached 100% accuracy. Temporal features were identified as crucial predictors, reflecting external fluctuations and annual changes impacting dropout decisions. This approach enables educational institutions to allocate resources more efficiently by prioritizing operational assistance for high-risk schools. The model's capacity to identify high-risk regions with 100% recall represents a strategic investment in strengthening Indonesia's human resource sustainability. To address the limitations of provincial aggregate data, expansion to include individual-level variables and model validation at district or school scales is recommended for future research.

The increasingly rapid development of digital technology is pushing MSMEs to adapt to change to remain competitive in the market. One strategic step that can be taken is to adopt a Management Information Sistem (SIM) to support information management, accelerate decision-making processes, and improve business efficiency. This article examines how MSMEs can optimize the use of MIS in their business activities, highlighting the benefits, challenges, and appropriate implementation strategies. The analysis shows that MSMEs' digital capabilities, human resource training, and the availability of technological infrastructure are critical components in supporting the successful optimization of MIS in the digital era.
 

The rapid development of technology has an impact on information packaging. Website is a media used in the information repackaging process to make information more accessible. Website as the main media in distributing and managing information from various sources depending on user needs. Therefore, the website can be an innovation in the library world. This research aims to reveal the strategy and how the use of the website as a digital media has an impact on the dissemination of information packaging. This research method using descriptive qualitative method is used to comprehensively explain the impact of using the website in the data repackaging process at Universitas Perintis Indonesia. The utilization of the website as a process of information packaging at Perintis University is expected to run well and can be utilized as well as possible, so that the information that has been packaged is not in vain presented. However, it can also make it easier to obtain information quickly and relevantly without fear of an information explosion.
 
 

Voting at SMK Plus YSB Suryalaya has traditionally been carried out manually, resulting in a time-consuming process that is prone to errors. Therefore, to improve the efficiency and accuracy of the election process, an online voting system is needed. This research aims to develop a web-based E-Voting system with a Multi-Vote model, allowing voters to vote for multiple candidates across different election categories. This system is designed to simplify the election process at the school, with features such as candidate registration, voter registration, real-time voting, and automatic processing and tabulation of election results. The system was tested using Black Box Testing to ensure its functionality and security, and the results show that the system performs well and meets user requirements. With this system, it is expected that the election process at SMK Plus YSB Suryalaya can be carried out more efficiently, transparently, and with fewer errors.

This research analyzes the application of Voice of Customer (VoC) in Customer Relationship Management (CRM) strategies in leading Indonesian digital platforms, namely Tokopedia and Gojek. In the competitive digital era, the company's ability to understand and respond to customer expectations is crucial for maintaining relevance and competitiveness. CRM, as a customer interaction management strategy, is significantly strengthened by VoC, which involves a systematic process to capture customer feedback to understand their expectations and perceptions of products, services, and brands as a whole. Using a qualitative approach and descriptive analytical methods, this study utilizes secondary data from various reliable sources. Empathy Map is used to map the customer experience based on "Think & Feel", "See & Observe", "Say & Do", and "Hear & Listen". Results show both companies commit to VoC for service development, integrating digital channels for feedback, and applying customer-centricity. Tokopedia focuses on shopping experience and product quality with structured, long-term VoC. Gojek emphasizes service timeliness and partner professionalism with direct, adaptive VoC. Consistent VoC enables proactive and predictive CRM. This research contributes to CRM literature in Indonesian digital companies.

Management of medical Hazardous and Toxic (B3) waste is a major challenge in the health and environmental fields. PT Ubersari Kertalangu, as a company operating in the waste and environmental management sector, requires a structured company architecture system to support B3 medical waste management activities safely, efficiently and in accordance with regulations. This research designs a TOGAF-based corporate architecture planning method that is integrated with the ISO 31000 risk management approach. The results show that this integrative model is able to increase waste tracking accuracy, mitigate environmental and legal risks, as well as company operational efficiency..
 
 

Skincare Distributor Sr12 is a Distributor that provides herbal beauty products from PT. SR12 Herbal Perkasa. PT. SR12 Herbal Perkasa is a company engaged in the field of herbal & skin care which was established in 2015 by Toni Firmansyah, S. Farm., Apt as the main director, Asrianty Salam, S.Farm as a pharmacist who is responsible for Plant Operational. The Sr12 Distributor Store requires more active and wider marketing to increase sales. To improve marketing, an information system is needed that can make it easier for consumers to find information about product information and marketing of sr12 products. One of the media that is widely used in marketing is a website. A website is a collection of addresses that display interrelated information in the form of text, images, videos, animations, sounds or a combination of all of them that can be accessed using the internet. To build a website, a method is needed. Personal Extreme Programing (PXP) is a software development method that tries to simplify the various stages in the development process so that it becomes more addictive and flexible. Keywords: Information systems, single level, Personal Extreme Programming (PXP)

Increasingly fierce business competition forces companies to look for innovations and strategies to maintain customer satisfaction and trust. PT Quinsha Trans Jaya, a tourism transportation services company, faced problems in providing service information and collecting customer feedback. To overcome this, a website-based customer relationship management system is needed. This system is expected to improve operational performance, facilitate purchases, and provide complete information to customers. The development of the system uses the Rational Unified Process (RUP) method and aims to help PT Quinsha Trans Jaya retain and attract new customers. The customer relationship management information system built will focus on service transactions through the website. Then this system has information features related to rentals and purchases as well as available promotions. There is also a reward feature, feedback from customers that helps companies increase customer loyalty.

The main issue in implementing enterprise architecture (EA) for housekeeping services at PT Trisarana Aditama Mitra is the operational and technological risks that may hinder the success of digital transformation. This research utilizes the TOGAF framework as a systematic approach to identify, assess, and manage risks during EA development and deployment. The results indicate that applying TOGAF can mitigate risks related to human resources, technology systems, and business processes, thereby improving the efficiency and quality of housekeeping services. 
 
 

In the modern era marked by rapid technological developments, enterprise systems play a crucial role in improving business efficiency and competitiveness. This study analyzes the role of enterprise systems in supporting business strategies, increasing productivity, and optimizing the management of company resources. The research method used is a qualitative approach with literature studies and case study analysis from various companies that have implemented enterprise systems. The results of the study indicate that the implementation of enterprise systems, such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM), can provide significant benefits in decision making, business process automation, and increased coordination between departments. However, challenges such as implementation costs, system complexity, and the need for employee training are also factors that must be considered in the adoption of this technology. Therefore, the right implementation strategy and adjustment to business needs are key factors in the success of enterprise systems in supporting business development in the modern era.

The rapid development of information and communication technology demands the education sector to strengthen digital literacy, particularly in mastering computer networks. Observations at SMK Taruna Bakti Baturraden revealed that 10th-grade students face difficulties in understanding basic network concepts such as topology, hardware, IP addresses, and the use of Cisco Packet Tracer. This study aims to measure the effectiveness of interactive teaching methods in improving students' understanding. The activities were carried out through stages including observation, module preparation, delivery of interactive materials, and evaluation. The learning process involved participatory presentations, discussions, and hands-on simulations. Evaluation was conducted using quizzes and student reflections. The results showed a significant increase in students' understanding of networking concepts and enthusiasm in learning network technologies. Furthermore, the activity enhanced students' digital literacy through a practical approach and the use of simulation applications. These findings indicate that interactive teaching methods are effective in improving computer network comprehension and can serve as a replicable digital literacy-based learning model in other vocational schools.

Along with the increasing threat of cybercrime, which is predicted to cause losses of up to US$10.5 trillion by 2025 , penetration testing (pentest) has become a crucial strategy for identifying security vulnerabilities. However, the manual pentest process is often time-consuming. This research aims to analyze the role, effectiveness, and challenges of Generative AI (GenAI), specifically GPT-4.1, in accelerating and optimizing the penetration testing process. This research method uses a qualitative approach with a case study on the "PumpkinFestival" VulnHub machine , where GPT-4.1 is integrated into the Kali Linux environment through the ShellGPT tool. The results show that GPT-4.1 can significantly accelerate all stages of the pentest, from reconnaissance to exploitation. GenAI proved effective in analyzing scan results, composing specific payloads, and creating decryption scripts quickly and accurately , while also filling a research gap by evaluating a newer AI model compared to previous studies. The implication is that the integration of GenAI in cybersecurity has great potential to increase the efficiency and effectiveness of security teams in facing increasingly complex threats.

In line with the development of the digital potential of the creative economy, the demand for quality visual content from photography and videography industry players has also increased. However, access to quality photographers and videographers is still a problem for some people. Likewise, photographers and videographers also experience difficulties in getting clients. Photographers and videographers feel that the use of social media has not been maximized in helping them get clients. In addition to these problems, these photographers and videographers also have difficulty in disseminating the events held. To overcome this problem, researchers developed a digital platform that can accommodate the interests of photography and videography service providers, as well as the community of users of these services. The digital platform developed by researchers is named the “Lensa Buana” marketplace application. The development of the Lensa Buana marketplace application uses the prototype system development method. With this application, it is hoped that photography and videography service providers can reach more consumers, while the community as consumers can easily get photography and videography services according to their needs and desired quality.

Information system security is a crucial aspect in maintaining the confidentiality and integrity of user data. The IITC Intermedia website of Amikom Purwokerto University serves as an information system for national events and stores participants' personal data, necessitating a security evaluation. This study aims to analyze vulnerabilities on the website using the Vulnerability Assessment method with the OWASP ZAP tool. The research process involves data collection, vulnerability scanning, result analysis based on the OWASP Top 10 2021 categories, and providing technical recommendations. The scan results revealed 23 vulnerabilities, consisting of 1 high-risk, 4 medium-risk, 9 low-risk, and 9 informational findings. Among these, 15 vulnerabilities fall under the OWASP Top 10 classification. Key vulnerabilities identified include the use of outdated JavaScript libraries, security header misconfigurations, and weaknesses in session management and access control. Based on these findings, several mitigation measures are recommended to strengthen system security. This study emphasizes the importance of implementing OWASP standards in the development and management of web-based information systems.

The welfare of teachers in Indonesia, especially honorary teachers, is still very poor when compared to other ASEAN countries. There is a gap between the salaries of teachers in Indonesia and the salaries of teachers in several ASEAN countries. There have been several demonstrations carried out by teachers, especially honorary teachers, because the salary received is not in accordance with the performance that has been carried out. On the other hand, there is a problem of high unemployment in Indonesia. The factors causing the high unemployment rate in Indonesia are the mismatch of qualifications and the low quality of education in Indonesia, as well as limited job vacancies and the high need for employment. To overcome these problems, a new innovation is needed that can help the community in creating jobs and improving the quality of education in Indonesia. The Pasar Ilmu educational marketplace application was developed to overcome these problems. The development of this Pasar Ilmu application uses the prototype system development method. This research aims to create a system or application of the Pasar Ilmu educational marketplace that can help improve the quality of education in Indonesia as an application that can help honorary teachers to get additional income, help reduce unemployment in Indonesia, and provide flexible courses or lessons for students.

This study aims to determine the effect of lecturers' teaching styles on student achievement at Stella Maris University, Sumba. The research method used is quantitative with a survey approach through questionnaires and observations. Lecturers' teaching styles are categorized into four types, namely facilitator, demonstrator, delegator, and authoritarian styles. The results of the observation show that the facilitator style is the most dominant style used (45%), followed by demonstrator (35%), delegator (15%), and authoritarian (5%). Data analysis using simple linear regression shows an R Square value of 0.468, which means that the lecturer's teaching style explains 46.8% of the variation in student achievement. In addition, a significance value of 0.000 (<0.05) is obtained, which indicates that there is a significant influence between the lecturer's teaching style and student achievement. This finding confirms that the application of the right and participatory teaching style can improve student learning outcomes.

Image is the main goal as well as the achievement to be achieved in the world of public relations. Therefore, Kemenparekraf created the #AdaApaDiSini campaign using Instagram social media. The #AdaApaDiSini campaign contains messages about places, nature, and culture in an Indonesian tourism area to be seen by the public. The purpose of this study is to determine the #AdaApaDiSini campaign message on Instagram @Kemenparekraf.ri, the image of Kemenparekraf regarding the #AdaApaDiSini campaign message and to determine whether or not there is an influence of the #AdaApaDiSini campaign message on the image of Kemenparekraf itself. The theory used in this research is the campaign message theory which has the dimensions of message structure, message content, framing, language, and emotional appeal (Perloff, 2017). This research also uses image theory which has dimensions of perception, cognition, motives, and attitudes (Soemirat & Ardianto, 2017). The method used in this research is a quantitative approach with a survey method and simple random sampling technique by distributing questionnaires in the form of google forms to 98 respondents selected according to the characteristics of the study. From the results of calculations and data using the SPSS 25 application, the #AdaApaDiSini campaign message affects the image of Kemenparekraf by 34.7%.

TVRI Jakarta has a daily program called Jendela Negeri, which airs every morning. The purpose of the Jendela Negeri program is to provide information and understanding about various aspects of Indonesia, thus offering benefits and inspiration to the viewers. The appeal and success of this program are closely linked to the role of the presenter, who has a unique way of delivering information. The presenter hosts the show in a relaxed manner using effective and proper speaking techniques. This study aims to determine the application of the presenter’s speaking techniques and the factors that hinder and support the presenter in conducting the broadcast of the Jendela Negeri program on TVRI Jakarta. This research uses the Presenter Speaking Techniques Theory. It is a qualitative study with a descriptive method. Data collection techniques include in-depth interviews, documentation, and direct observation at TVRI Jakarta. The results indicate that the speaking techniques used by the presenter of the Jendela Negeri program at TVRI Jakarta include seven aspects: tonal range, volume, tempo, rate of delivery, articulation and pronunciation, and diction. The study also identified several obstacles during the broadcast, including technical and non-technical issues such as malfunctioning equipment and inadequate presenter preparation.

Food allergies are medical conditions caused by particular immunological reactions brought on by exposure to certain foods. All age groups can experience food allergies, albeit the prevalence varies between children and adults, with children experiencing this condition more frequently than adults. Find food ingredients or substances that can trigger allergies, often known as allergens. This project attempts to determine whether or not the food includes allergies by applying the SVM data mining method to a public dataset of food goods and allergens that was acquired via Kaggle. High accuracy, effective memory use, and the ability to handle non-normally distributed data are some of the benefits of the SVM method. Data collection is the first step in the research process. Data pre-processing, which includes data transformation, handling missing values, and copy objects, comes next. Validation comes next. Split validation with 90% training data and 10% testing data, 10-fold cross validation, and split validation with an 80%–20% ratio were all compared in this study. The SVM method is applied after the dataset has passed validation, and the confusion matrix is used for the last evaluation step. SVM has an accuracy rate of 97.24% when using 10-fold cross validation, according to the accuracy value produced by the validation process comparison. Split validation yields an accuracy value of 97.50% when the ratio of training data to testing data is 90% to 10%. In contrast, an accuracy rate of 98.75% was achieved by using split validation with a ratio of 80% and 20%.

Regional House of Representatives (DPRD) of Magetan Regency to enhance the efficiency and effectiveness of visit data management. The system was developed using the Rapid Application Development (RAD) method, utilizing the Laravel framework and MySQL database. The implementation of this system is expected to replace the time-consuming and inefficient manual processes, such as guest book entry and data retrieval. The web-based system allows guests to digitally input their institutional origin, purpose, and objectives of their visit, which are then managed by the administrator for reporting and data analysis.The system development process began with needs analysis, design using UML diagrams, and implementation through web-based technology. System testing was conducted using the Black Box Testing method to ensure all system functions operate as specified. The research findings demonstrate that the system effectively reduces data processing time, increases accuracy, and facilitates the management of visit information. Thus, this information system not only provides practical solutions for DPRD Magetan but also serves as a model for similar developments in other institutions. This study offers significant theoretical and practical contributions to the advancement of information technology in the governmental sector

A Decision Support System is a system designed with the capability to solve problems, particularly in decision-making. One example is making decisions regarding the recruitment of prospective employees or crew members for a company. In this research case study, the Decision Support System will be implemented to assist in recruiting crew members for Wedding Organizer Rahwana. A Wedding Organizer is a service-oriented business that plans and manages all aspects of a wedding event. In this case, Rahwana WO is still facing difficulties in selecting potential crew members. The implemented Decision Support System will use the MOORA method, a multi-objective optimization technique that has been successfully applied to solving various complex decision-making problems. The system’s performance was evaluated using the SUS method, and the implementation of this approach for Rahwana WO’s crew selection received a good rating, categorized as GOOD, with a score of 78.6.

The University of Jambi (UNJA) currently manages the Single Tuition Fee (UKT) manually using Microsoft Excel, which causes various problems such as the length of the UKT determination process, data duplication, and difficulty in accessing the UKT determination history by the leadership.This research aims to develop UKT management features on the UNJA registration system to increase the effectiveness and automation of the UKT management process. System development is carried out using the Star Life Cycle Model method by implementing the features of the student UKT program proposal and uploading the required files. The research produced a prototype of a web-based registration system with a UKT Management feature that allows the process of determining and submitting a reduction / exemption of UKT to be carried out systematically. The implementation of this system is expected to overcome problems in managing UKT at UNJA such as duplication of UKT reduction which is detrimental to the institution in terms of finance.

PT Bumi Daya Plaza faces various obstacles in managing inventory because it still relies on a manual system based on Microsoft Excel. This approach causes a number of problems, such as recording errors, low data security, and limited real-time access, which negatively affect operational efficiency and customer satisfaction. This study aims to develop a web-based inventory system to overcome these problems. This system is designed to be able to monitor stock in real time, automate the reordering process, and generate accurate reports automatically. The research methodology includes interviews, observations, and document analysis to ensure user needs are met. The implementation results show that this system can improve work efficiency, reduce recording errors, and strengthen data-based decision making. With this innovation, PT Bumi Daya Plaza is expected to increase competitiveness and respond to market needs more effectively.

Computer-based Accounting Information Systems (AIS) have become a vital element in managing organizational finances in the digital era. To explore the role and benefits of computer-based AIS in increasing efficiency, accuracy and transparency of financial reports. By integrating information technology in the accounting process, AIS enables real-time data collection, processing and analysis, thereby supporting faster and data-based decision making, while also identifying challenges faced in implementing AIS, such as user training needs and issues. data security. That computer-based AIS not only speeds up transaction recording and information management, but also increases collaboration between departments and allows for more accurate and timely reporting. Therefore, computer-based AIS has proven to be an important strategic tool for organizations to improve financial performance and competitiveness in increasingly competitive markets.

Indonesian people mostly tend to ignore health, especially dengue fever because the symptoms that arise are similar to common fever, this causes people with common fever symptoms to be reluctant to see a doctor. This study aims to help the public recognize the symptoms of dengue fever early by using the implementation of the fuzzy method in the dengue fever disease diagnosis system that uses specific datasets as a reference. Mamdani's fuzzy method, which is based on linguistic frameworks and fuzzy concepts, allows for the management of knowledge from experts for intuitive decision-making. The test results using the Confusion Matrix, the system showed an accuracy of 92.8%, an average precision of 90.6%, a recall of 95.8%, and an F1-Score of 92.6%, with an effectiveness value of 100%. This study proves that the system is able to provide information about dengue fever, diagnose based on symptoms, and offer solutions for its treatment.

Birth problems are one of the problems that have not been resolved in various regions, where an average mother gives birth to three to four children. The increase in population due to births will also affect various aspects of development, and pose a big risk to ensuring community welfare. For example, opportunities to obtain educational facilities, job opportunities, health insurance, housing and can increase opportunities for increasing poverty and crime. To find out which factors influence the birth of a baby, an association rule is needed to find out which factors influence the birth of a baby which can be seen from several criteria such as a woman who has a low level of education or a bachelor's degree, a woman who marries at an old age. , or women who marry underage, give birth naturally or surgically. Association rules are a data mining technique for determining the relationship between items in a set of data that has been determined. By determining min support 0.01, confidence 0.1 and 7 itemsets, the results obtained are 25 data items with varying min support and confidence with a maximum support x confidence result of 100%. By using the a priori method, 14 of the best rules were produced by producing the most up-to-date information.

The rapid development of technology increases the need for effective and efficient information. Information that is not managed properly loses value, especially when large amounts of data are available, making conventional methods no longer adequate to analyze the potential of the data. Therefore, a system capable of analyzing, summarizing, and extracting data into useful information is required. The Department of Agriculture and Food Security, as an agency that handles food security, agriculture, animal husbandry, animal health, and fisheries, is responsible for supporting the increase in agricultural yields to meet the food needs of the population and encourage economic growth. To achieve this goal, the agency needs to utilize technology to process agricultural data quickly and accurately. The system built using the apriori method can analyze data efficiently and provide recommendations for increasing agricultural yields. Based on the test results, a support value of 9% and a confidence of 68% were obtained, with the rule If the crop is Cassava, then the production yield is 6000-8000 tons.

Handling of dental disease problems requires that it be handled quickly and correctly, but not all teams of dental experts can carry out treatment quickly due to the lack of a team of dental experts who are in the workplace or hospital 24 hours a day.  Apart from that, the public also has very little knowledge of information about dental disease, so that to treat dental disease, people have to consult a dentist. To classify images of dental disease, feature extraction is needed. Feature extraction is taking characteristics of an object that can describe the image. One example of image feature extraction used is Red, Green, Blue (RGB). This feature extraction is often used to identify or classify an image. Dental image data that will be used in the classification process are tooth abrasion, anterior crosbite, cavities and gingivitis. K-Nears Neigbor is the simplest data mining algorithm.  The aim of this algorithm is to find the results of the closest distance classification for each object.  In determining the distance, the data is initially divided into two parts, namely training data and testing data. After receiving the training data and testing data, the distance from each testing data (Equilidence Distance) to the training data is calculated. The K-Nearest Neighbors method can be applied to classify dental disease based on images of types of dental disease using Matlab software. As a result of the image data training process, 40 image data were input, training results obtained were 100%.

The Apriori method is one of the algorithms used in data mining to find association patterns, such as "association rules", in large data sets. This method was developed by Rakesh Agrawal and Ramakrishnan Srikant in 1994. The purpose is to test the correlation between facial skin problems and the type of product used by finding min support and min confidence using the apriori method.The results obtained based on this analysis are that there are 2 rules that meet the minimum requirements to form a combination of 2 itemsets with a minimum support value of 95% and a minimum confidence of 100%.
 

This study aims to analyze the student attendance system at SMP Santo Leo Jakarta and identify information technology-based solutions to enhance efficiency and accuracy in attendance recording. The school currently relies on a manual attendance system prone to recording errors, delayed reporting, and data manipulation. The research employed the Waterfall method, involving observation, interviews, questionnaire data collection, and literature study. The findings reveal that the manual system received low ratings, with average scores ranging from 40% to 42% in terms of usability, effectiveness, and functionality. However, the proposed technology-based system achieved a future expectation score of 80.74%, indicating the school's willingness to adopt a more modern system. An integrated attendance information system is expected to improve productivity, provide real-time information, and facilitate parental involvement in monitoring student attendance.

Autoimmune diseases, which are disorders where the immune system attacks the body’s own tissues, can affect anyone, including children and adults. These diseases often lead to serious tissue damage and physiological disturbances. Al Fuadi Binjai General Hospital, the primary healthcare facility in Binjai City, faces challenges in diagnosing autoimmune diseases in a timely manner due to limitations in time, cost, and distance. Delays in treatment can exacerbate patient conditions and slow recovery processes. The objective of this study is to develop a system that processes symptom and autoimmune disease data using the Dempster-Shafer method, which allows for uncertainty assessment in decision-making. Patient symptom data collected and analyzed using this method aims to determine the likelihood of autoimmune diseases. The developed system demonstrated high diagnostic accuracy, with the most accurate results for lupus with a confidence level of 94.40%. This result indicates that the Dempster-Shafer method can be an effective tool in accelerating the diagnostic process and improving the accuracy of autoimmune disease management at Al Fuadi Binjai General Hospital
 
 

Members of the KPPS (Voting Organizing Group) are responsible for organizing voting in a polling station (TPS) during general elections in Indonesia. They are the spearhead in carrying out the democratization process by supervising and ensuring the continuity of elections honestly, fairly, and transparently. The duties of KPPS members include preparing TPS before voting begins, receiving and examining voters, supervising the election process to ensure compliance with applicable regulations, counting votes after voting is complete, reporting election results, and maintaining security and order around TPS. Decision support system is a Decision support system or Decision Support System (DSS) is an interactive system that supports decisions in the decision-making process through alternatives obtained from data processing results. The purpose of this study is to facilitate the recruitment of members of the Voting Organizing Group (KPPS). The research method is Weighted Aggregated Sum Product Assessment (WASPAS). WASPAS is to find the most appropriate priority location choices using weighting. The results of this study are that the development of this support system can help the KPU in selecting or selecting KPPS members and this decision support system as a tool in developing KPPS members by viewing or using criteria according to the criteria needed using the WASPAS method.
 
 
 

This research aims to cluster disease data based on patient age using the K-Means method at RSUD Dr. RM. Djoelham. In this case study, the clustering method with the K-Means algorithm is used to group patients based on patient age, address and type of disease. With this method, information can be obtained regarding patient grouping patterns based on age at Dr. RM. Djoelham, who helps identify the closest relationships between patient groups and provides insight into the distribution of disease across age groups, regions and types of disease suffered.This research was conducted at RSUD Dr. RM. Djoelham by loading data from patients treated at the hospital. The data used is 1,100 patient data from 2022-2024 which has been recorded by the hospital. This patient data will be analyzed using 3 variables in the research, namely Patient Age (C1), Address (C2), and Type of Disease (C3). With the results, cluster 1 contains 320 data, cluster 2 contains 326 data, and cluster 3 contains 454 data.

This study investigated college students' anxiety levels in completing their final projects, which is an important requirement for graduation. Anxiety is a common problem faced by students, which is often caused by the long and complicated process of preparing a final project. Using the Zung Self-Assessment Anxiety Scale (SAS/SRAS), this study aims to measure the level of anxiety and identify the main factors that contribute to it. The Rough Set Method, an efficient technique for analyzing uncertainty, was applied to identify patterns and relationships between factors influencing college students' anxiety. Data was collected through questionnaires from students who are currently completing their final projects. By applying the Rough Set Method, this research succeeded in identifying significant factors that influence anxiety levels, such as psychological, physical and positive responses. These findings provide valuable insight for educators and counselors to better understand and address college students' anxiety during the final years.

The rapid development of technology in the globalization era has significantly impacted various aspects of life, including the healthcare sector. RSU Bidadari Binjai, as a healthcare provider, faces challenges in diagnosing and preventing Gastroesophageal Reflux Disease (GERD), a condition with high prevalence and serious complications such as Barrett’s esophagus and esophageal cancer. Therefore, a predictive system capable of early detection is needed to ensure quicker and more effective medical intervention. This research develops a computer-based predictive system using the backpropagation method in artificial neural networks to assist in diagnosing GERD by processing patient symptom data. The system's test results show an accuracy rate of 100% in predicting GERD complications based on the given symptoms, thus supporting more timely and accurate medical interventions.
 
 

The Merdeka Belajar Kampus Merdeka (MBKM) program provides students the opportunity to study for one semester outside of their major, aiming to develop the soft and hard skills required in the workforce. One key component of this program is internships or practical work, which gives students hands-on experience in the professional world and the chance to build professional networks. This research uses the K-Nearest Neighbor (K-NN) method to predict the impact of MBKM activities on undergraduate students at STMIK Kaputama. Using the RapidMiner application, student data was tested to obtain the accuracy of predicting students' engagement in the MBKM program in the future. The test results show that the K-NN model has an accuracy of 75.34%, indicating that the model is fairly good at predicting the impact of the MBKM program on students.
 
 

Fast.com is a popular speed testing tool on the internet that allows users to measure download and upload speeds quickly and accurately. The research approach used in this research is a qualitative approach, while the methods used are literature studies and experiments. The research results show that fast.com is a site used to measure internet speed, especially download speed, where the features and services are easy to understand, without advertising and without complicated settings, so it is very easy to use and the measurement results can be used to evaluate the performance of service providers. internet (ISP) and determine whether the speed provided meets the user's needs.

The rapid development of science and technology, in line with the progress of time, has led to the increased use of personal computers, playing a crucial role in assisting human tasks. Additionally, the use of technology in work processes helps to improve speed and accuracy compared to not using technology. Today, Systems Information and Technology (SI/IT) are not only needed as tools to support an organization's operational activities but also as an essential aspect of business strategy to achieve organizational goals. Computer-based information systems have now become a primary necessity for fulfilling information needs. Many sectors have utilized computer information systems as a means to simplify tasks. Therefore, this journal will discuss "Information System Strategy Planning using the Five Competitive Forces."

Land and Building Tax (PBB) is a type of area regulated by the government in determining the amount of tax for implementation and development as well as increasing the prosperity and well-being of the people. Based on taxpayer compliance data in Tanjung Keliling Plantation, the results of tests carried out using the Clustering algorithm can determine the variables of ownership area, hamlet name and payment level. Clusters 1,2,3 of 600 PBB taxpayer data, namely where cluster 1 has 166 data, can be grouped based on the Ownership Area of "500,001-600,000m2" with the Hamlet Name "Ujung Bangun" and the Payment Level "Quite Good". Cluster 2 consists of 196 data, which can be grouped based on ownership area "200,001-300,000m2" with the hamlet name "Karang Jati" and payment level "fairly good".  And Cluster 3 with a total of 238 data, can be grouped based on the Ownership Area "400,001-500,000m2" with the Hamlet Name "Mojosari" and the Payment Level "Quite Good".

Beauty clinics are currently a primary need for women and men. This is proven by the increasing number of beauty clinics that are expanding in Binjai City. This makes consumers have to be more selective in choosing a beauty clinic so they don't have to waste a lot of time and money. Beauty Clinics are included in service businesses that aim to provide satisfaction for customers or consumers. With the emergence of various types of Beauty Clinics, competition between one Beauty Clinic and another has become increasingly fierce, thus encouraging each Beauty Clinic to try to improve the quality of its products and services.

The development of Information Technology is now entering various sectors, including health, and is implemented in Bidadari Binjai Hospital. As a health institution that is committed to excellent service and quality, Bidadari Binjai Hospital needs to innovate technology. One health issue that requires attention is rubella, an airborne infectious disease that has the potential to cause serious disorders such as hearing loss, cataracts, speech delay, and heart failure in toddlers and children. The initial symptoms of rubella are often similar to other common diseases, so public understanding of these symptoms is very important for quick treatment. This research aims to develop an information technology-based system that is able to predict rubella using the backpropagation method. This method is expected to improve the accuracy of diagnosis and make it easier for people to recognize rubella symptoms early on. The proposed system aims to provide better diagnosis support at Bidadari Binjai Hospital, as well as increase public awareness and knowledge about rubella disease. From the research conducted, the results of the accuracy rate obtained when conducting a test program were selected according to the symptoms and the results obtained were rubella disease with a 100% accuracy rate.

This study addresses the issue of Indonesian migrant workers (TKI) whose characteristics do not match the jobs assigned abroad, often leading to complaints from agencies and companies. This mismatch is caused by incorrect job placements and insufficient training, which prompts TKI to leave their assigned jobs. The research aims to better understand the characteristics of TKI that influence successful job placement. The **apriori** method was used to identify patterns and relationships between TKI characteristics, destination countries, and suitable job types. Based on a 30% minimum support, 3 and 4 itemset combinations were produced, showing correlations between TKI characteristics and job positions. Using lowerboundminsupport 0.001 and minmetric 0.1, this study generated 6 itemsets from 13 data points, providing significant correlations between TKI characteristics and more accurate job placements.

The policy for using the MyPertamina application issued does not rule out the possibility of differences of opinion due to changes in the policy. There are many positive, neutral, and negative responses to the MyPertamina application implementation policy. To see the public's reaction to the MyPertamina application implementation policy, it can be seen through various media, including social media. Twitter is a social network that is widely used by people in Indonesia. The number of Twitter users in Indonesia reached 18.45 million in 2022, making Indonesia the fifth largest Twitter user country in the world. Researchers conducted a sentiment analysis of the search results for tweets containing the keyword "MyPertamina" using the support vector machine algorithm. 382 tweet data were obtained and classified using the support vector machine algorithm. Support vector machine is a supervised learning algorithm for data classification. SVM is very fast and effective in solving text data problems. Text data is suitable for classification with the SVM algorithm because the basic nature of text tends to be high-dimensional. Of the 382 data analyzed, the support vector machine classification using the RBF kernel with parameter C=2 gave the highest accuracy value of 80.51%, precision value of 81%, recall value of 81%, and F1 score value of 80%.

The development of information technology that is currently developing serves to facilitate, accelerate, benefit and provide other alternatives for people who have businesses and have a big influence in the future. One of the things that is very influential is the sale of MSMEs. MSMEs are productive businesses owned by individuals or business entities that have met the criteria as micro businesses that have an important role in the economy because they provide employment, encourage local economic growth, and create innovation. MSMEs still face challenges such as limited access to financing, digital readiness, and marketing access that hinder the development of MSMEs. Therefore, it is necessary to take action to predict MSME sales in Binjai City using the backpropagation method so that later it can create new innovations and encourage community economic growth. Based on the process carried out using the backpropagation method, it can be seen that the value obtained has reached more than the predetermined target with a target value (t) of 0.26, learningrate 0.2, maximum epoch 10000 target error 0.01.

Vulvodynia is a chronic pain condition affecting the vulva that significantly impacts women’s quality of life. Accurate and early diagnosis poses a challenge due to the often-overlapping symptoms with other conditions and the lack of definitive diagnostic tests. This paper proposes the use of expert system methods as a diagnostic tool for vulvodynia in women. The expert system, integrating medical knowledge with inference algorithms, is designed to analyze symptoms, medical history, and test results to provide accurate diagnoses and treatment recommendations. The study involves the development and evaluation of a computer-based expert system prototype that uses clinical data and medical decision-making to enhance the accuracy of vulvodynia diagnosis. Preliminary results indicate that the expert system can improve diagnostic rates and reduce the time required for identifying this condition, offering a potentially valuable tool for medical professionals in clinical practice.
 

Background: The e-commerce industry in Indonesia has experienced extraordinary growth in recent years.  The rapid growth of e-commerce then gave birth to e-commerce in the form of a travel agent service called Traveloka.  Currently, the tagline #DontWorryNoLoss is the latest benefit offered by Traveloka to its consumers.  The #DontWorryNoLoss campaign by Traveloka on Instagram is aimed at getting the target audience interested in buying their products online, which in this context is travel agent services through their application or website.  Purpose: This research aims to examine the influence of the #DontWorryNoLoss campaign on the Traveloka Instagram account on online purchase intention.  The background to this problem is the rapid growth of e-commerce and the role of social media in product promotion.  The problem formulation focuses on how attitude toward the behavior, subjective norms, and perceived behavioral control influence consumer purchasing intentions.  The theory used in this research is the Theory of Planned Behavior developed by Ajzen (1991).  The aim of the research is to determine the significant influence of these three variables on the online purchase intention of Instagram followers @traveloka.id.  Method: The research method used was an explanatory survey by distributing questionnaires to 81 respondents.  Results: The results of this research show that there is a positive and significant influence of the #DontWorryNoLoss campaign on the online purchase intention of @traveloka.id followers.

Police Sector (Polsek) is one of the agencies that provide protection, order and ensure public safety in the sunggal area. The number of cases of criminal acts that occur makes residents feel unsafe and always feel threatened in certain areas in the Sunggal sub-district, the pattern of criminal acts that often occur due to several factors, one of which is due to the lack of security in the area so that many criminal acts occur as well as behaviour that has been planned by the perpetrator to achieve their goals by planning, preparing, implementing, disposing of evidence, even hiding or escaping depending on the type of crime committed based on the characteristics of the perpetrator, and the situation or context in which the crime occurred. Therefore, it is necessary to analyse techniques from existing criminal data using the a priori algorithm method to find patterns of relationships between variables that can assist agencies in taking action for public safety. Based on the research conducted, the above case is tested with a minimum support = 10%, confidence = 100% so that the results of the rule that meets the support and confidence values are obtained: ‘If the criminal act is theft then the job is self-employed’, then giving value is successful with 15% support, 100% confidence. And ‘If the age of 17-25 years, the criminal act is Theft then the job is unemployed’, then giving value is successful with 10% support, 100% confidence.

In the practice of independent doctors, patient registration is still done manually, so they have to come first because it takes longer, in addition, doctors cannot find out the disease experienced early and the follow-up actions that need to be taken. This study aims to make it easier for patients to register online, consult online, screen online, and have new features that make it easier for patients to access their conditions. The method used is the prototype method which is useful for designing and knowing the interaction between the system and the user, to be implemented by programmers. The results of this study are the design of an independent doctor's information system which includes a database design. The design of this independent doctor's information system can make it easier for patients to register online, consult online which can be given a prescription and redeemed at the nearest pharmacy, and more complete feature updates.

Respiratory tract disease is a common condition that can affect anyone regardless of age. Starting from relatively mild symptoms to alarming symptoms. Although some respiratory diseases are not life-threatening, they should not be taken lightly as they can cause serious complications. What often happens is that it is difficult for a patient to see a specialist doctor because of the limited number of respiratory specialists who cannot fully serve patients, so people often have difficulty if they want to consult directly. This triggers the habit of the community to treat complaints on their own with simple drugs bought freely at drugstores or pharmacies without knowing for sure the disease they suffer, as well as the length of waiting for queues, consultation fees that are quite expensive and not everyone has a short distance to the hospital prefer not to go to a specialist. Like other organs of the human body, breathing is also prone to various diseases. Respiratory organs will be disrupted and can even cause death. By using the Naïve Bayes method above, it is known that the diagnosis of respiratory disease is that the young female patient is diagnosed with a type of respiratory disease called Farangitis (P05) with a percentage of 47.44%.

Cases of biological food poisoning can be caused by several causative factors, one of which is a food processing site that does not meet health requirements. According to the BPOM report (2016) cases of food poisoning in Indonesia in 2016 reached 1,068 cases. In 2016, 60 extraordinary events (KLB) of food poisoning were reported by 31 BB/BPOM throughout Indonesia. From the many cases of food poisoning that occur, it is necessary to take action in prevention by processing data on existing cases of poisoning to follow up on existing problems to reduce the number of cases of food poisoning by using a system on a computer so that the managed data can be processed quickly to obtain further information. Therefore the author wants to use a system with the clustering method to assist in processing data on biological poisoning cases grouping objects based on the characteristics of each object. Based on the research conducted, it can be seen that in cluster 2 in the dasta group of biological poisoning cases there are 11 data with centroid point age (x) 2, namely 12-16 years, centroid point on the type of poisoning (y) 6.36, namely sandwiches, and centroid point on the causative factor (z) 2.9, namely Gram-negative rod-shaped bacteria which are usually found in the intestines of humans and warm-blooded animals.

In a train ticket booking also has an obstacle, to overcome the obstacles found in conventional ticket booking such as piling up queues at the station, limited time owned by consumers, the process of delivering information about ticket prices for the day of departure or the previous date that cannot be processed, then PT Kereta Api (Persero) Palembang provides solutions through applications that will be made to facilitate ticket booking, Fast transaction process, delivery of information about schedules and ticket prices that can be accessed quickly. In designing this system using a method, namely the Prototype method.

Cats are one of the beloved animals that require care and development. As beloved animals, cats have their own charm thanks to their different body shapes, eyes and fur colors. Cats whose pedigrees are officially registered as purebred cats. Cats, in Latin Felis silvestris catus, are a type of carnivore. The word cat usually means a domesticated cat but can also refer to large cats such as lions, tigers and leopards. Cats have been mixed with human life for at least 6000 years BC, since cat skeletons were discovered on the island of Cyprus (Arquitectura et al., 2015).  One of the diseases that often appears in cats is feline lower urinary tract disease (FLUTD), also known as feline urological syndrome (FUS), which is a health problem that often occurs in cats, especially male cats. This health problem attacks the cat's bladder and urethra. Urethral disorders are caused by the structure of the male cat's urethra, which is tube-shaped and has a narrow section, which often causes obstruction of urine from the bladder (VU) to the outside of the body. FLUTD includes several diseases that occur in the cat's urinary tract (Indonesia, 2022).  Knowledge about diseases in cats is one of the problems. Many owners do not realize that their cats are suffering from diseases that can cause death. The cause of the cat's death occurred due to the keeper's lack of knowledge regarding the disease and symptoms the cat was experiencing. Apart from that, the problem is that there are so few doctors available that they are difficult to find, and the information obtained is only in accordance with the condition of the cat when it goes to the vet. If you see other symptoms, like it or not, you have to consult the veterinarian again and it will take additional time and money. This problem can be solved with an expert system that can diagnose the disease suffered by the cat based on the selected symptoms.

The application of Management Information Systems (MIS) in the educational context has become an increasingly important topic in efforts to improve the quality of learning. MIS helps educational institutions to manage information efficiently, increase data accessibility, and improve decision-making processes. This research aims to identify how SIM can improve the quality of learning in educational institutions. The research method used is a literature study to collect information related to the application of SIM in education. The application of Management Information Systems (MIS) in the educational context has become an increasingly important topic in efforts to improve the quality of learning. MIS helps educational institutions to manage information efficiently, increase data accessibility, and improve decision-making processes. This research aims to identify how SIM can improve the quality of learning in educational institutions. The research method used is a literature study to collect information related to the application of SIM in education. Implementing MIS can provide various benefits, including increased efficiency in educational administration, monitoring student performance, and better decision making based on accurate and up-to-date data. SIM also helps in improving communication between various stakeholders in educational institutions, such as teachers, students, parents, and school management. Thus, the implementation of SIM can significantly improve the quality of learning and help educational institutions to achieve their educational goals.

Data mining is a technique to dig up new information from a data warehouse, information is seen as very important and valuable because by mastering information it is easy to achieve a goal, this makes everyone compete to obtain information, as well as in trading businesses such as the Iblite Luxury store.  This store is located in Medan close to residents' houses, Sales transaction data will continue to grow, causing data storage to be even larger. Sales transaction data is only used as an archive without being properly utilized. Basically, a dataset has very useful information. Market basket analysis with a priori algorithm is one of the data mining methods that aims to find association patterns based on consumer shopping patterns, so that it can be known what items of goods are purchased in a At the same time, the results of this study found that the highest support and confidence values were Ysl and Chanel with a support value of 50% and confidence of 75%.

Advances in information and communication technology are growing rapidly in all directions so that a lot of information is produced from technology and is applied in various fields. In the field of information technology, Supply Chain Management is also needed, which is used to monitor inventory and marketing of goods at UD. Anugrah Jaya Tani. UD. Anugrah Jaya Tani is a kiosk that sells various herbicides. Supply chain management (SCM) is one part that can also be developed with the existence of internet resources. The internet can play a role in facilitating SCM activities. This is because SCM activities require communication between the parties involved in this matter. The purpose of using supply chain management, where the most basic is to be able to align customer demand with existing supply. The results of this study are to determine the amount of stock of goods to be marketed, create a system that can be accessed by anyone, and create an attractive consultation layout.

Technological advancements in the era of globalization demand improvements in the quality of academic services and educational facilities in institutions. STMIK Kaputama is committed to creating a conducive academic environment by providing optimal facilities. This study aims to determine student satisfaction with campus facilities using the K-Means Clustering method. Data were obtained from recapitulated survey reports and questionnaires filled out by students in 2024. The K-Means Clustering method was chosen for its ability to group students based on their similar preferences for campus facilities. The results show that, in general, students are fairly satisfied, though their preferences for specific facilities vary. These findings can be used to make recommendations for the improvement and development of campus facilities, help STMIK Kaputama allocate resources more efficiently, and plan strategies to enhance the quality of facilities to meet student expectations.

In today's digital era, almost all parts of human life depend on the development of information and communication technology, which helps in increasing efficiency, effectiveness and cost savings in various activities. The role of information and communication technology is very vital in human life today. The National and Political Unity Agency (BAKESBANGPOL) is a government agency which has the main task of social and political development in the Central Lombok Regency area. BAKESBANGPOL has implemented a system or application called e-Kinerja. The implementation of the e-Kinerja application is said to be running quite well and is easy to use, however the e-Kinerja Application also often experiences problems such as frequent human errors and lack of socialization of the e-Kinerja Application which will have an impact on decreasing efficiency and decreasing trust in the system. Therefore, measurements of application quality need to be carried out. This research aims to measure the level of usability using the USE Questionnaire method in the e-Kinerja application. This research uses quantitative research with stages of observation and interviews, preparation of questionnaires, distribution of questionnaires. The results of this research are the results of calculating the usability measurement of e-Kinerja, which obtained a value of 81.45% which is in the range of 81-100, where the e-Kinerja application at BAKESBANGPOL Central Lombok Regency is very suitable for use by ASN.

In the digitalization era, mobile payment applications are highly sought after to facilitate financial activities. PLN has innovated by introducing PLN Mobile, which simplifies online electricity bill payments. Despite offering many conveniences, some users feel there are shortcomings and difficulties with this app, potentially affecting its continued usage. This thesis aims to evaluate the factors influencing users' decisions to continue using the application, utilizing a conceptual model that combines Human-Computer Interaction (HCI) and Trust based on research by Kaewkitipong et al. (2022). This model includes seven variables: skill, system quality, information quality, task-technology fit, HCI, trust, and continuance intention. Testing uses the SEM-PLS technique and is processed with SmartPLS 4 using a sample of 384 respondents. The results indicate that HCI and trust significantly influence continuance intention, while system quality, information quality, and task-technology fit significantly influence HCI. These findings provide insights for improving and enhancing the PLN Mobile service to encourage its sustainable use.

The development of smartphone technology is becoming faster and more diverse, so consumers are often faced with problems in choosing smartphones that fit their needs and budgets. Decision Support System (DPS) can help consumers make the right decisions. The purpose of this research is to design the best smartphone decision support system using the Simple Additive Weighting (SAW) method. The SAW method is used to calculate the weight of smartphone attributes such as Price, Internal Memory, Smartphone Processing Performance and Speed, Camera Quality, Battery Capacity so that it can provide a solution to consumers in choosing smartphones according to their wishes and needs.
 
 

In the progress of information technology and knowledge, data processing by computer played a significant role in the field of information. But many institutions government still has not implemented the optimal monitoring systems, particularly in the management of the official travel. This research focuses on the monitoring system official travel web based development planning board the kabupaten government ngawi. This difficulty while manual is the use of ms.Office word and excel in the management of official travel, led to the mistake and the.To deal with this problem, the researchers devised a system of the web based covering management accountability, that in the official travel. This study by using the method proposed method of development rad.The design participation of users who plays the role of crucial revision in software design the specifications.The result showed that these information systems capable of accelerating and loosening the process of making a official travel.The implementation of this system, expected the finance division directorate of trading businesses able to manage official travel more efficiently in accordance with the regulation.This study produced recommendations for similar institution to adopt similar solutions in the management of official travel. 

Information technology continues to evolve over time, and this development can be leveraged across various organizational sectors. CV. Warajaya Solve Techindo, an IT Solution company, relies heavily on the implementation of information technology to support its business processes. With numerous IT services sold and used by WaySolve, new risks or problems are bound to arise. Unfortunately, WaySolve currently lacks clear guidelines for problem management. The aim of this thesis is to create SOP related to problem management that CV. Warajaya Solve Techindo can use as a reference or standard for resolving IT issues. The SOP is developed using the ITIL V3 and COBIT 5 frameworks, as both provide activities relevant to the problem management process based on existing guidelines.This thesis involves several stages: Data Collection and Analysis, SOP Document Preparation, and SOP Document Adjustment. The outcome of this thesis includes two standard operating procedure documents for IT problem management, as well as two forms with six actors assigned roles in each activity.

This study aims to apply the C4.5 algorithm in classifying athlete performance based on the 2023 award recipient list. The C4.5 algorithm was chosen for its ability to construct decision trees that can identify patterns and characteristics distinguishing high-performing athletes. The data used in this study includes various attributes such as gender, age, sport, number of medals, and level of competition participation. The results show that the C4.5 algorithm can classify athletes with high accuracy. The resulting decision tree provides valuable insights into the key factors contributing to athlete performance. The implementation of this algorithm is expected to assist sports organizations in more effectively identifying and developing potential talents.
 
 

The lean approach is often used by manufacturing companies to increase productivity in the production area. In this case PT P, a manufacturing company that produces refrigerators, faces the same problem on the unloading process in the final assembly area. The unloading process is the operation to move the finished product from the production line and store it in the finished goods warehouse. Operators in the unloading area have tasks to unload finished products from conveyors which are connected directly from the assembly line and placing them on pallets. Due to the refrigerator is quite heavy a forklift has to use to move the full pallet to the finished goods warehouse which is located next to the unloading area. Once finished the forklift returns to the unloading area with the empty pallets and places them in the unloading area, to be refilled by the unloading operator. Based on the data taken, the cycle time in the unloading process was recorded to be varied and the highest was 33 seconds, exceeding the takt time that had been determined on the production line, which was 24 seconds. This means that there is waste that occurs in the unloading area. The long and unstable cycle time in the unloading process makes the production line disrupted because the conveyor often stops and causes productivity to drop. For this reason, it is necessary to analyze and improve the process with the Lean concept by reducing the existing waste, so that the cycle time becomes stable and smaller than the takt time.

Every year, Setia Janji District routinely holds village competitions. Village competition assessments are held to motivate village officials and the community to compete in building a good village. As for the village assessment, currently the calculations in the assessment are still done manually and are not yet open. Assessments also still use paper so processing takes quite a long time and is sometimes unbalanced. By utilizing technological advances, a decision support system is needed to make it easier to determine the best village in Setia Janji District. The aim of this research is to determine the best village in Setia Janji District using a comparison of the TOPSIS Method and the WASPAS Method.

Innovation in Hajj and Umrah management through the use of social media holds significant potential to enhance service efficiency and quality. Social media platforms like Facebook, Instagram, Twitter, and WhatsApp can be used to quickly and accurately provide education and information to pilgrims. Organizers can deliver guidelines, health tips, and real-time updates about conditions in the holy land, and respond to pilgrims' questions and complaints more efficiently. This research explores how social media can be integrated into Hajj and Umrah management to improve service quality and risk management, focusing on the role of social media in education, responsiveness, and risk management. The findings indicate that social media is effective in disseminating information and enhancing interaction between organizers and pilgrims, though challenges exist in technology access gaps and the risk of spreading inaccurate information.
 
 

This research aims to find out how effective and efficient correspondence management is after the use of online-based electronic information and communication technology (paperless office system) in processing incoming letters. Utilization of information technology in correspondence management is management of an agency's correspondence system by utilizing information technology in the form of computer media, the internet or other media using either manual or electronic systems. The main discussion in this research is how effective the delivery of incoming mail services is with an electronic system and the obstacles faced in implementing these two systems in mail management. The research results show that the application of information technology in correspondence management is able to speed up the administration process, reduce human error, and increase data accessibility and security. However, several obstacles such as limited skilled human resources and inadequate technological infrastructure are still challenges. Recommendations are provided to overcome these obstacles, including training for staff and improving technological infrastructure. Thus, it is hoped that the use of information technology in correspondence management can continue to be improved to support a more modern school administration and efficient.

PT BrickBern is a distribution company specializing in LEGO (Leg Godt) toy products. An efficient inventory information system is crucial for managing the diverse range of LEGO products and enables the company to meet customer demand effectively. The V-Model method was chosen as a structured development approach due to its advantages in well-defined development and testing stages, allowing for early error detection and correction. The research began with a needs analysis that included an in-depth understanding of the company's requirements for LEGO product inventory management. The system design phase followed, covering database design, user interface design, and adequate system architecture. Subsequently, the system was implemented and tested, and training was provided to users. The research outcome is a web-based inventory information system that supports PT BrickBern in managing LEGO product inventory more efficiently and in real-time, thereby enhancing PT BrickBern's operational efficiency in distributing LEGO products and increasing customer satisfaction. Furthermore, these findings can serve as a reference for similar companies looking to develop web-based inventory information systems using the V-Model method.
 

The diversity in societal exercise preferences has increased significantly, with fitness emerging as a favored modern activity, particularly in urban areas of Indonesia. Fitness is valued for its effectiveness in restoring body fitness and achieving ideal body shapes swiftly. However, in the era of Industry 4.0, technological advancements have revolutionized the approach to fitness. Smartphone fitness applications have replaced the role of personal trainers by providing tailored exercise and dietary programs. User Interface (UI) plays a pivotal role in fitness applications, influencing User Experience (UX). The challenge lies in designing UI to accommodate user heterogeneity, both internally and externally. Adaptive UI emerges as a solution, capable of altering layout and content according to user characteristics. Kernwerk® Functional Fitness exemplifies a fitness application utilizing AI to optimize fitness routines. To enhance Kernwerk's UI adaptability, UX evaluation is conducted using UEQ+ modular extension, a comprehensive instrument for effectively and efficiently measuring user experience. Through this evaluation, components of UI and UX requiring further development to enhance Kernwerk's adaptability can be identified.

Dinas Perpustakaan dan Kearsipan Kota Surabaya (DISPUSIP) is one of the Surabaya city government institutions whose role is to provide and manage public service facilities in the library and archives sector in the City of Surabaya. DISPUSIP has an IT Team that manages information technology including the development of Management Information Systems (MIS). In working on MIS development, the DISPUSIP IT Team experienced problems related to the division of job desks between members and the MIS work flow was unclear and undocumented because there were no procedures and documentation for MIS development activities. Therefore, MIS development governance is needed in the form of a Standard Operating Procedure (SOP) to manage MIS development activities. The preparation of SOPs in this thesis uses the gap analysis method to determine the gap between current conditions and ideal conditions. Current conditions were obtained from interviews and observations, while ideal conditions were obtained from activities in the System Development Life Cycle (SDLC), the COBIT 5 domain BAI03 framework, and ITIL v3 change management. The output produced from this thesis is a MIS development SOP document which consists of 5 procedures, namely: New MIS Planning SOP, New MIS Analysis SOP, New MIS Design SOP, New MIS Implementation SOP, and MIS Module Addition SOP verified using the interview method and validated with SOP test simulations to find out whether the SOP is appropriate.

Abstract The utilization of information technology plays a crucial role in the operations of organizations or companies, including the Communication and Informatics Agency of East Java Province. The utilization of information technology is governed by Presidential Regulation No. 95 of 2018 on the Electronic-Based Government System (SPBE). The purpose of conducting risk management evaluation is to reduce the impact of risks within the organization and to determine the level of SPBE risk management capability. This research uses the Control Objectives for Information and Related Technologies (COBIT) 5 framework. The current assessment results for EDM03 Ensure Risk Optimization (as is) have reached Level 2 – Managed Process with a score of 74.9%, and APO12 Manage Risk (as is) has reached Level 1 – Performed Process with a final score of 79.39% with the category of L (Largely Achieved). Based on this assessment, the gap for EDM03 is one level, and the gap for APO12 is two levels

In the rapidly developing digital era, social media such as Twitter has become part of everyday life and facilitates the rapid dissemination of information, including information about criminals. This research aims to analyze public sentiment towards information about criminals spread on Twitter using the Naive Bayes algorithm. This algorithm was chosen because of its simplicity and effectiveness in text classification. Data was collected through a crawling process from Twitter, followed by a preprocessing stage to remove noise. The research results show that public sentiment towards information about criminals on Twitter is divided into three categories: positive, neutral and negative. After classification, it was found that neutral sentiment increased significantly to 63.4%, while positive and negative sentiment decreased to 10.5% and 26.1%. These findings indicate that people tend to be more careful in reacting to sensitive information. This research provides important insights for related parties in managing information about criminals on social media and can be a reference for developing further policies and strategies.

The advancement of information technology and globalization has transformed shopping behaviors, with social media becoming the primary platform for online shopping. This study aims to analyze the online shopping preferences of residents in Binjai City through social media using clustering methods, specifically the K-Means algorithm. Data were collected via a questionnaire targeting 523 respondents in Binjai City, focusing on variables such as gender, age, and the social media platforms used. Clustering methods are employed to group online shopping data into representative clusters, helping identify community preferences for specific social media platforms for shopping. Matlab is used to process the data and generate relevant insights into online shopping patterns, facilitating decision-making regarding the selection of the most suitable social media platform for transactions.The findings of this study are expected to provide valuable insights for both sellers and buyers in determining the most effective social media platforms for online shopping. Additionally, the results will be useful for residents of Binjai City to understand and choose the social media platforms that best meet their online shopping needs.
 
 
 

In the current era of technological advancement, deep learning has become a widely discussed and utilized topic, particularly in image classification, object detection, and natural language processing. A significant development in deep learning is the Convolutional Neural Network (CNN), which is enhanced with various optimizations such as Adam, RMSProp, and SGD. This thesis implements the Inception v3 architecture for the deep learning model, utilizing these three optimization methods to classify malaria disease. The study aims to evaluate performance and determine the best optimization based on classification accuracy. The results indicate that the SGD optimization with a learning rate of 0.001 achieved an accuracy of 94%, RMSProp with learning rates of 0.001 and 0.0001 achieved an accuracy of 96%, and Adam with learning rates of 0.001 and 0.0001 achieved an accuracy of 95%.

The management of data collection of research activities, community service, and publications that occur at the National University of Karangturi Semarang is still done manually using Microsoft Excel, which still has various problems related to collecting, storing, searching, processing, and presenting data when needed for the accreditation process. Based on these problems, an information system is needed that can accommodate all the problems experienced by users. Therefore, an information system will be developed to manage all data related to research activities, community service, and publications carried out by lecturers and improve the efficiency of data management. System design is one of the stages of developing an information system. Simlitabmas design has two main objectives, namely to fulfill the needs of users and to provide a clear picture to all personnel involved in system development. System design is one of the important steps in a system development in which a visual representation of a series of processes or activities in an institution or organization is made. One of the modeling or design tools that can be used is the Unified Modeling Language (UML). UML helps describe and design systems, especially in object-oriented programming. In this research, UML diagrams made consist of use case diagrams, activity diagrams, and sequence diagrams.

The policy of shutting down TikTok Shop has sparked both pros and cons. On one side, it eliminates jobs for content creators whose income relies on TikTok Shop, while on the other side, it saves UMKM  from predatory pricing wars that harm them. Utilizing the Naive Bayes algorithm, a classification method capable of predicting the likelihood of a class and making decisions based on learning data, the Emotion Recognition research on YouTube comments related to the closure of TikTok Shop is conducted. Data will be classified into five classes: happy, angry, sad, afraid, and surprised. The objective of this research is to find the best emotional model using the Naive Bayes method. The results of user testing with Naive Bayes and Tf-Idf show that the precision values for sad, happy, afraid, and surprised emotions are high, while for anger, the percentage is 59%. The percentages for afraid, happy, sad, and surprised emotions are 91%, 87%, 84%, and 79%, respectively. The overall accuracy is 82%.

The use of information technology in education has become common, including in universities such as STMIK Kaputama Binjai. The Academic Information System (AIS) is an important component in college operations, assisting in the management of student data, lecturers, grades, and other academic information. However, it is important to conduct an AIS IT governance audit to evaluate the effectiveness and efficiency of the system. In this context, the audit was conducted using the COBIT 5 framework, focusing on the MEA (Monitor, Evaluate & Access) domain. The results of this audit provide recommendations to improve maturity levels in various COBIT 5 domains, such as improving the responsiveness of IT support services and setting clear KPIs for system performance evaluation. Thus, this audit is expected to be the basis for improving AIS IT governance at STMIK Kaputama Binjai in order to support the teaching and learning process more effectively and efficiently.

Grouping is a process or activity to develop a system that is more organized and easy to understand, making it easier to analyze, identify or manage data and can also be used to explore information so that it becomes new knowledge for anyone who wants to obtain it. and in this case the information we want to explore is about MSME data in Binjai City. Namely, it is difficult to know how to identify existing business development patterns, whether they are not yet developed, less developed, already developed, and very developed. Offline and online promotions have not been optimal in increasing the growth and change of a business from time to time. And most MSMEs still don't understand how to market their products and services effectively and efficiently. MSMEs are one of the most numerous community business groups in Binjai City. To obtain this information, one solution that can be implemented is by utilizing data mining using input data in the form of Binjai City MSME data. This data will be processed using the clustering method with the k-means algorithm using MSME business type variables, sales type variables and development pattern variables. .Based on the results of grouping Binjai City MSMEs using the K-Means Clustering Method from 20 grouped data, 3 clusters and 2 iterations were obtained where cluster 1 contained 4 data and was located in the MSME business type group, namely the businesses included in this cluster were businesses in the field of Fashion, for the sales type group, uses online and offline types, and for business development patterns, it has a development pattern that has developed. cluster 2 has 11 and is located in the MSME business type group, namely the businesses included in this cluster are businesses in the culinary sector, for the sales type group the offline type is used, and for the business development pattern it has a development pattern that has developed. and cluster 3 has 5 data and is located in the MSME business type group, namely the businesses included in this cluster are businesses in the culinary sector, for the sales type group it is using the offline type, and for the business development pattern it has a less developed development pattern. so it can be concluded that the pattern of business development of Binjai City MSMEs produces relevant data so as to produce designs that can be used for this research.

Management Information Systems (MIS) have an important role in the transformation of government towards E-Government. E-Government is a government effort to provide public services electronically to the public and businesses. In this context, SIM plays a role as the main support in managing information and making effective and efficient decisions. The role of Management Information Systems (MIS) in realizing E-Government is very important in increasing the efficiency and effectiveness of public services. SIM helps governments manage information, plan strategies, coordinate activities, and make better decisions. Through SIM, the government can increase information accessibility for the public, speed up the decision-making process, and improve the overall quality of public services. Thus, effective and efficient implementation of SIM will make a major contribution to realizing an E-Government that is transparent, accountable and responsive to community needs.

This article discusses the development of a decision support system (DSS) for selecting the best tourist attractions in Surakarta City using the Simple Additive Weighting (SAW) method. The background of the research is the importance of choosing the right tourist attractions to enhance visitor satisfaction and support regional development. The SAW method was chosen for its ability to provide structured assessments based on multiple criteria. This study uses an Agile approach in system development, involving planning, analysis, design, implementation, and testing stages. The results show that the developed decision support system can effectively manage the criteria and alternatives for tourist attractions. The calculations using the SAW method indicate that Sheikh Zayed Mosque has the highest preference value, making it the best tourist attraction according to this system. Testing shows that the system functions as expected, with consistent calculation results between manual and automated methods.
 

The online goods ordering information system is an application that allows customers to order goods practically via the internet. The Extreme Programming (XP) software development method is an approach that can be used to develop information systems with a focus on flexibility and responsiveness to changing user needs. This research aims to implement the Extreme Programming method in developing an online goods ordering information system. The research method used is a literature study to identify the basic concepts of Extreme Programming and analysis of the design of an online goods ordering information system. The research results show that the implementation of the Extreme Programming method in developing an online goods ordering information system can increase flexibility in dealing with changing user needs and improve the quality of the software produced.

With the rapid development of technology, its use has expanded to all sectors, including education. Artificial Intelligence (AI) plays an important role in providing innovative solutions, mimicking human intelligence, and potentially replacing human roles in several functions. In education, AI has proven to enhance learning motivation and active student participation. YouChat, an AI chatbot based on GPT-3.5, is used as a learning assistant offering features such as answering questions and providing idea suggestions. Observations and literature studies show that this application has great potential to improve students' learning experiences. This thesis aims to evaluate the acceptance of the YouChat application on students' learning experiences in public higher education institutions in Surabaya using the Technology Acceptance Model (TAM). Data were collected from 399 students and processed using the SEM-PLS technique with SmartPLS 3.2.9 software, including outer model, inner model, and hypothesis testing. The thesis results show that perceived enjoyment and perceived informativeness significantly affect attitude, which in turn affects the intention to use. The variable trust also moderates the effect of perceived informativeness on attitude. This thesis provides insights into students' acceptance of the YouChat application in their learning process as an evaluation for improvement, development, and enhancement for both YouChat and educational institutions.

The development of quantum computing presents new challenges to the security of data stored and processed by today's computer systems. Quantum computers have the ability to perform calculations at very high speeds, which could threaten the security of currently used encryption algorithms. Therefore, steps are needed to design and implement an operating system that is able to protect data from quantum computing threats. Ubuntu Linux version 22.04, as one of the leading open source Linux distributions, offers high-level security features. To face the era of quantum computing, it is necessary to carry out special development and implementation of this operating system. This research aims to improve the security of the Ubuntu Linux operating system version 22.04 so that it can withstand quantum computing attacks by designing and implementing a quantum-resistant cryptography protocol and testing the security and performance of the resulting system. This research method uses a qualitative approach and research and development (R&D) with literature studies. The research results show that the integration between Liboqs and OpenSSL on Linux Ubuntu 22.04 successfully implements a cryptographic algorithm that is resistant to quantum computing. Although there is a slight performance increase due to the additional overhead of the quantum algorithm, the security of the system in protecting data from quantum computing attacks is proven to be well maintained.
 
 

The development of information technology has provided numerous benefits in the advancement of various organizations. One government organization that has implemented information technology to support its business processes is the Department of Cooperatives and SMEs of East Java Province. With the increasing number of information technology services used by the Department of Cooperatives, new challenges and consequences inevitably arise in the service maintenance process when an incident occurs with the information technology services. Unfortunately, the Department of Cooperatives appears to lack a clear procedure and guidelines for incident handling due to the absence of a related SOP. The purpose of this thesis is to formulate a Standard Operating Procedure related to incident handling that can be utilized by the Department of Cooperatives as a standard or reference, particularly in resolving incidents in information technology services. The SOP formulation uses the ITIL V3 framework because this framework includes the Service Operation domain, which contains the incident management process formulated based on best practices. Data collection for this thesis will be conducted through interviews and using the RACI Chart to determine the interviewees. This thesis results in 3 Standard Operating Procedures, 3 Record Documents, 1 Form, and 1 Priority Guide document, all of which are formulated based on the relevant framework and have been validated by the Department of Cooperatives and SMEs of East Java Province.

An audit needs to be carried out so that an information system is able to meet IT Governance requirements. PT. Jaya Karya is a company operating in the field of goods delivery services that has used information systems to support its business processes for the last 4 years. It is time now to carry out an audit of the goods delivery information system  This is so that we can find out whether the information system implemented is in accordance with the vision, mission and goals of the organization as well as testing the performance of the information system. In this research, an analysis of the goods delivery information system at PT. Jasa Karya Palembang branch uses the COBIT 5.0 framework with sub domain MEA01 (Monitor, Evaluate, and Assess Performance and Conformance) with process capability level calculations and also analysis of Strength, Weakness, Opportunity and Threats (SWOT), Internal Factor Analysis Summary (IFAS) , as well as External Factor Analysis Summary (EFAS)). Data was obtained through observation techniques, interviews, literature study. Respondents for the data consisted of Branch Heads, Operations Managers and Operational Staff.

Indonesia is home to approximately 400 mountains that attract climbers, both local and international. The increasing number of climbers each year correlates with a rise in accidents. According to data from the National Search and Rescue Agency (BASARNAS), climbing accidents have increased over the past four years. In 2018 alone, there were 23 incidents resulting in 6 fatalities, 4 climbers reported missing, 7 climbers fell ill, and 592 climbers were rescued. Human error, such as choosing the wrong route and adverse weather conditions, remains the primary cause of climbers getting lost. To address these challenges, this research develops a GPS and Long Range (LoRa) based mountain climber monitoring system. The system utilizes GPS to track climbers' locations, heart rate sensors to monitor health conditions, and a buzzer for early warnings when climbers enter restricted areas. It also features a panic button for sending SOS signals to rescue posts. Agile Scrum methodology is employed in the system development, enabling iterative and collaborative software development. Research findings indicate that this system enhances efficiency and effectiveness in monitoring and rescuing climbers in distress, thereby improving mountain climbing safety and comfort.

The development of AI is having a significant impact on education. AI applications are designed to improve student understanding, but their implementation faces challenges that affect user acceptance. Initial research with the UTAUT2 model in public high schools showed that only hedonic motivation, habit, facilitating conditions, and behavioral intention had a significant influence on application acceptance and use. Therefore, this study will use a simplification model that focuses on significant variables, namely hedonic motivation (HM) and habit (H) on behavioral intention (BI), as well as facilitating conditions (FC), habit (H), and behavioral intention (BI) on use behavior (UB). This study is expected to provide in-depth insight into the important factors that influence the acceptance and use of AI applications in learning, as well as provide practical contributions to improve the implementation of learning technology in high schools.

Grha Kedoya Hospital in West Jakarta faces significant challenges in document management, including medical records, financial reports, and administrative documents. This study aims to analyze the document storage system in the Secretariat Unit of Grha Kedoya Hospital using the User Acceptance Testing (UAT) method. The results show that the security, functional, and non-functional aspects of the document storage system are rated very well by respondents, with average scores of 80.4%, 81.4%, and 76.4% respectively. Despite challenges in transitioning to a digital system such as staff adaptation and infrastructure investment, the majority of respondents support this change to enhance efficiency and security. The UAT method proves effective in identifying the system's strengths and weaknesses, providing constructive feedback for improvement.

An information system is a series that includes aspects of software, hardware and brainware in a structured manner with performance in a process that is interconnected so as to create a certain desired product, then the development of website-based system infrastructure can make it easier to data warehouse electronic products for both incoming and outgoing goods. for the admin, however, from the ongoing data warehouse process there are several problematic factors that influence it, namely, electronic product warehouse data collection for incoming and outgoing goods still uses a simple Microsoft Excel format which takes a long time and there are many warehouse data collection archives on computer storage as reports so it is vulnerable to viruses.

Currently, the need for information is important in everyday life. The government plays a role in meeting the information needs of the community by providing access to information that is accurate, reliable and easily accessible. One effort to meet community needs is by providing communication channels such as official government websites, information centers, and others. The aim of this research is to assess whether a website meets standards as a source of accurate information. This research uses an exploratory study writing method. From the results of the analysis carried out by researchers on the West Java Government website (https://jabarprov.go.id/) using 20 indicators of information quality dimensions, it was found that overall the information quality of the website has been implemented well.

The purpose of this research is (1) to determine the use of the Internet of Tings (IoT) to help simplify the process of searching for information at the Archives and Library Service of West Sumatra Province, (2) to determine the implementation of the Internet of Tings (IoT) in searching for information in libraries can increase the effectiveness and efficiency of services at the West Sumatra Province Archives and Library Service, (3) to find out what Internet of Things (IoT) devices can be used to assist the information search process at the West Sumatra Province Archives and Library Service. Measurement of the Internet of Things (IoT) is seen through four indicators, namely OPAC, RFID, information literacy and recommendation services. Measuring search information is seen through five indicators, namely, cognitive needs, affective needs, personal integration needs, social integration needs and fantasy needs. This research is quantitative research with descriptive methods. The population in this study was all users at the West Sumatra Province Archives and Library Service, using a random sampling technique. The main instrument used is a research questionnaire whose validity and reliability have been tested with a sample size of 100 respondents. The research results are: (1) The Internet of Things (IoT) variable has a total average score of 3.46. This indicates that the score is on an interval scale of 3.26-4.00, which means it is classified as very good. (2) The information search variable has a total average score of 3.23. This indicates that the score is on an interval scale of 2.51-3.25, which means it is in the good category. (3) The influence of the Internet of Things (IoT) on information searches at the West Sumatra Province Archives and Library Service. In the hypothesis test, the result was 0.398, which means that information needs have a significant relationship with the use of collections at the Sawahlunto City Library and Archives Service, as well as in the table model summary obtained R = 0.288. Then R2 = 0.083. If converted into a percentage, it is 28.8%, this shows that the influence of the Internet of Things (IoT) on information search is 28.8% and the remaining 71.2% is influenced by other factors. Overall, the results of the research analysis can be concluded by researchers that there is a significant influence on the Internet of Things (IoT) on information searches at the West Sumatra Province Archives and Library Service.