The debugging process is a critical step in software development, especially for the Windows operating system, which offers various tools and techniques to address software issues. This study explores debugging strategies such as logging, memory analysis, real-time debugging, reverse engineering, and compilation-based techniques to identify and resolve problems such as memory leaks and unresponsive applications. Results indicate that selecting the right debugging method depends on the type and complexity of the problem, with a combination of methods often yielding the best outcomes. This study provides practical guidance for Windows users to enhance debugging effectiveness in resolving system and application issues.

As a popular platform, Windows faces increasingly complex and diverse malware threats. This research evaluates Windows security weaknesses and finds effective methods of mitigating malware attacks. To ensure the validity of the results, the analysis was conducted through literature review, protection method evaluation, and data triangulation. The results show that layered protection methods, which include implementing firewalls, antivirus, and regular system updates, are highly effective in combating different types of malware, such as ransomware, trojans, and spyware. In addition, the use of machine learning and artificial intelligence helps detect threats in real-time. This research provides practical advice for developers and users on how to improve Windows security through a combination of proactive and reactive measures. It also suggests that users be more aware of cybersecurity. The results of this research are expected to serve as a reference for the development of more secure operating systems in the future.

The academic information system is a crucial element in managing academic data in higher education institutions. Universities require an efficient information system to manage student data, faculty, courses, and other academic administration. This study develops an SQLPage-based information system to provide a lightweight and user-friendly web-based solution. SQLPage enables the creation of web applications directly from a MySQL database without requiring complex programming. The research results show that this system can improve the efficiency of academic data management and ease of access to information for users

This research aims to analyze GoPay user sentiments on the X social media platform (formerly known as Twitter) using the Naive Bayes Classifier algorithm. Sentiment analysis was conducted to understand user perceptions and satisfaction levels towards GoPay digital payment services based on their shared comments and reviews. Data was collected through a tweet crawling process containing the keyword "GoPay" within a specific period. The research stages included data preprocessing (case folding, tokenizing, filtering, and stemming), sentiment labeling (positive, negative), word weighting using TF-IDF, and classification using the Naive Bayes algorithm. The results showed that from a total of 1,431 analyzed tweets, 797 data contained positive sentiments, and 643 data contained negative sentiments. With a classification accuracy rate reaching 82.94%. The most frequently positively commented factors included ease of use and offered promotions, while the main complaints were related to technical issues and customer service. This research provides insights for GoPay developers to improve services according to user feedback.
 

Assistance funds from the APBN through the West Sumba Regency APBD can be allocated to funds through the Village Financial System application. This financial system has been widely used by all village offices. However, the budget is used by the reports reported to the financial system. The purpose of the researcher is to assess the level of satisfaction with the utilization and documentation of financial resources. This study is conducted through the distribution of questionnaires to relevant respondents. Based primarily on the responses gathered from the questionnaires, the researcher employs the SPSS software as a tool for statistical data analysis. The results of the test found that all test results were valid, namely for reliable test values of 0.789, 0.779, and 0.805 through Cronbach Alpha. 

Teachers provide dedication to students to convey knowledge. In addition, teachers also play a role in educating, guiding, and training students so that they can understand the material being taught. Teachers have a very significant role in creating a superior and quality generation. The Principal at SDN Weetame does not utilize the application in the process of selecting qualified and competent teachers or instructors. Researchers observed and designed A selection support system for determining the best instructors implementing multi-attribute-based decision-making method, namely the WP (Weighted Product) method. The outcomes of this study reveal that SPK application can be used easily and produce decisions quickly so that the Principal can make the right choice.

In this study, the researcher uses a quantitative research type, namely the researcher collects data on a certain population or sample. While the study was conducted in the marketing division at PT. Jalatama Artha Berjangka to analyze and calculate statistics using the service quality method. The results of this study are in the marketing division of PT Jalatama Artha Berjangka, I can draw the following conclusions: indicating that the satisfaction of IT Support performance in the Marketing Division at PT. Jalatama Artha Berjangka has not met expectations. Evaluation using the Service Quality method reveals a gap between expectations and performance provided by IT Support services and improvements and enhancements in IT Support services in the marketing division need to be prioritized to improve service quality and achieve a better level of satisfaction. Thus, this study provides an understanding of the condition of IT Support performance satisfaction in the Marketing Division of PT. Jalatama Artha Berjangka and highlights the importance of improvement efforts to increase user satisfaction with IT Support services.

Traffic accidents are one of the leading causes of death worldwide, where drowsiness while driving is a significant factor that reduces driver alertness. This study develops a real-time driver drowsiness detection system using the Eye Aspect Ratio (EAR) method to avoid this. EAR calculates the ratio of the upper and lower eyelid distances to detect signs of drowsiness based on changes in eye shape. This system utilizes the OpenCV and Dlib libraries to identify faces and measure EAR, with a threshold of 0.25 as a warning trigger. If the EAR value drops below the threshold in several consecutive frames, the system automatically activates an alarm to increase driver alertness. With the advantages of cost efficiency and ease of implementation without additional hardware, this system is suitable for various types of vehicles. The results show that this system is effective in providing early warnings, thus helping to reduce the risk of accidents due to drowsiness.

The purpose of this research is to create a JST (artificial neural network) model that can forecast population growth at the Population and Civil Registration Office of West Sumba Regency. population growth at the Population and Civil Registration Office of West Sumba Regency. Regency. Regional development planning must consider the increasing number of population, therefore proper forecasting is essential to encourage sustainable policies and initiatives. sustainable policies and initiatives. Because it can identify complex patterns in past data and produce more accurate forecasts than traditional techniques, an ANN model is used. traditional techniques, the ANN model is used. The data used in this study is the population growth of Southwest Sumba Regency over the past including characteristics such as birth and death rates and population movements. deaths and population movements. The backpropagation algorithm is used to optimize the multilayer perceptron (MLP) architecture for ANN training. Separating the data into training and testing sets and assessing the models model using metrics such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) based on the error. Error (RMSE) based on the prediction error are the steps involved in the training process. involved in the training process. The research findings show that, with a low level of error, the artificial neural network model can estimate the population increase in Southwest Sumba Regency with a reasonable level of accuracy. reasonable level of accuracy. The model is expected to serve as a reference for relevant authorities to better manage population data and as a tool to create more focused and successful population policies.

Palembang Religious Education and Training Center as an education and training institution utilizes information technology, especially wifi internet networks to support various learning and training activities. To support these needs, a quality internet network is needed, so an evaluation and measurement of Quality of Service (QoS) is needed, because QoS is able to measure various important parameters in the network, such as throughput, delay, jitter, and packet loss, all of which play an important role in ensuring the network functions properly.  The standard used is TIPHON. By using the Action Research method, this research will produce real internet quality data in accordance with actual conditions. After testing, the average results on the 4 parameters tested obtained an index value of 3. So that the overall quality of the internet network at the Palembang Religious Education and Training Center has good network quality.

A reliable, efficient and high quality electrical energy supply is certainly very necessary. Frequent damage to electronic equipment and practical equipment in Building A, Faculty of Science and Technology (FST), Jambi University, prompted the author to conduct research on analyzing the quality of electrical power in this building. The research aims to analyze the quality of electrical power in building A FST. The research method used is the observation method which cannot influence the variables studied but can only record and observe the data that has been measured. The power quality quantities measured are voltage, current, active power, reactive power, power factor, voltage harmonics and current harmonics in each main panel. Based on the research results, the problem that occurs in the main panel of transformer A is load imbalance, namely at a percentage of 5.56% to 6%, the standard set by the IEC is only 5%. and the occurrence of current harmonic distortion (THDi) at a percentage of between 24%, the standard set by IEEE is 12%. The problem that occurs in the main panel of transformer B is that it has a low power factor value in the R and T phases, namely below 0.85. The occurrence of load imbalance is at a percentage of 10.9% to 12%, the standard set by the IEC is only 5%. The occurrence of voltage fluctuations is +7.4%, the standard according to PUIL 2011 is +5% with a value of 231 Volts and -10% with a value of 198 Volts and the occurrence of current harmonic distortion (THDi) is very high at a percentage of 29.83% to 58.419%, the value permitted by the IEEE standard is 15%.

Data mining is a technique to extract new information from the data warehouse, information is considered very important and valuable because by mastering the information so easily to achieve a goal, this makes everyone competing to obtain information, as well as on trading businesses such as bag store BRANDED. store is located close to the home of the population, this certainly affects the level of sales, with the daily sales activities, sales transaction data will continue to grow, causing data storage is greater. Sales transaction data is only used as an archive without being put to good use. Basically the data set has very useful information. The analysis of market basket with Apriori Algorithm is one method of data mining which aims to find the pattern of association based on consumer spending pattern, so that it can be known what items are purchased simultaneously. The result of this research found that the highest support and confidence value is Ysl and Chanel with a support value of 50% and confidence of 75%.

This research aims to demonstrate the influence of the effectiveness of image preprocessing-based artificial intelligence technology in detecting the ripeness level of tomatoes on user satisfaction and to discover correlations between them. The applied research method is quantitative, with data collected through the distribution of questionnaires to attendees of the IT Festival 2023 Expo held on Sunday, August 27, 2023, at the Baranangsiang Campus, IPB. The data analysis methods used include Pearson correlation test, simple linear regression, coefficient of determination test, and T-test using SPSS 25.0 software. The test results indicate that the effectiveness of image preprocessing-based artificial intelligence technology has a positive and significant impact on detecting the ripeness level of tomatoes

The analysis of Traveloka.com's services in the tourism industry encompasses various aspects, including usability, service quality, customer loyalty, and the influence of service quality on customer loyalty. The usability analysis of Traveloka.com's website revealed a high level of usability, as evidenced by efficiency, memorability, error rate, and user satisfaction. However, the study also identified areas for improvement, particularly in terms of system accessibility, privacy, and efficiency, which significantly impact customer satisfaction. Furthermore, the influence of service quality on customer loyalty was found to be significant, indicating the importance of continuous improvement in service quality to maintain and enhance customer loyalty. This research aims to provide a comprehensive understanding of Traveloka.com's services and their impact on the tourism industry, offering insights for the company's development and the advancement of the overall tourism sector.

There are jobs in the warehouse that are still not optimal, one of which is managing administration and other activities related to warehouse mechanics and inventory. In the warehouse management section, employees record incoming goods, outgoing goods, and stock of goods by recording them in the inventory book, resulting in a buildup of inventory which often causes discrepancies between the release of goods and transaction funds. The research method used to solve problems is by using interviews and observation methods and for system development using the object oriented method. The results of this research produce a warehouse inventory information system that is capable of carrying out web-based warehouse recording transactions, so it is hoped that it can help with problems in PT Laz Coal's warehouse inventory.

OpenCV is a widely used library in the field of image processing and computer vision. Combined with Python's flexibility, OpenCV provides an extensive range of functions for efficient image processing, modification, analysis, and visualization. This paper aims to introduce the fundamental concepts of image processing using Python and OpenCV, including image reading, color conversion, edge detection, and image manipulation such as resizing and cropping. Furthermore, this study discusses basic analysis techniques like color distribution histograms and feature detection. By presenting these concepts, the paper aspires to help readers understand the foundations of digital image processing and explore the potential applications of OpenCV in practical fields such as pattern recognition, object detection, and image segmentation.

Malaria is one of the diseases that is currently affected, but is still a threat and often causes unusual events in NTT province. Malaria in NTT province is the second highest malaria disease in Indonesia after Papua. The method used to analyze the vulnerability to malaria in NTT province is K-Means Clustering. The purpose of analyzing the level of malaria vulnerability is to find out which districts have the highest to lowest vulnerability in NTT province, which is carried out in a geographic information system. The results of the analysis showed tha 7 districts were classified as low malaria vulnerability, 1 district as medium, 12 districts as high and 2 districts as very high. The level of vulnerability can be understood as the level of malaria endemicity.

This research was conducted to obtain information regarding data security and privacy of users of digital health applications, Halodoc and Alodokter, based on legal regulations in Indonesia. The method used is a qualitative method through sources such as literature reviews, journals, scientific works and other media, as well as a quantitative method through calculating the level of conformity of regulations on applications with applicable laws and regulations. The results obtained in both applications are that data security and user privacy are met by seven out of ten indicators, and both make their best efforts to protect and secure their users' personal data, however there is no guarantee that the platform will be safe and reliable.

The purpose of this study was to determine the influence of users and the effectiveness of the Plastic Bottle Waste Compression Tool "Bottlepress" as an innovation in protecting the environment. The method used is a quantitative survey form using the Google Form platform in the form of a questionnaire to obtain a sample. Simple Linear Regression and Correlation methods were used as data analysis of this study.  The results of this study indicate that there is no influence between user convenience on compression tools with a greater significance ?> 0.05, namely 0.373 and a regression coefficient of 0.167 units or 16.7% positive value.

The rapid development of e-commerce technology demands the adoption of efficient and reliable payment systems to enhance user experience. This research aims to analyze the quality of smart payment system performance in the context of e-commerce business. The analytical method used includes evaluating the reliability, responsiveness, transaction speed and security of the smart payment system. This study involved a survey of a number of e-commerce customers who use the smart payment system, with a focus on their perception of the quality of system performance. In addition, data collection is carried out by analyzing transaction times, failure rates and transaction security through smart payment systems used by several leading e-commerce platforms. The research results show that the reliability of the smart payment system has a significant impact on e-commerce user satisfaction. Additionally, responsiveness and transaction speed play an important role in ensuring optimal user experience. The security factor is also a critical aspect in increasing user trust in the smart payment system. This research provides valuable insights for e-commerce service providers and payment system developers to improve and optimize the performance quality of their smart payment systems. The implications of these findings can be used as a basis for developing better strategies in improving the efficiency and reliability of electronic payments in e-commerce businesses.

ABC Gift Shop provides ordering and purchasing of souvenirs for weddings, birthdays, graduations, and other events. So far, customers are served through online orders via Instagram and offline orders that come directly to the store location. This study aims to look at the implementation of ongoing business processes and see how far the results of the evaluation can identify opportunities for improvement and recommendations for improving ABC Shop's business processes. The research method uses descriptive qualitative through interviews with informants and observations of online and offline ordering services at ABC Stores. The results of the study show that there are deficiencies in the online ordering process, such as online ordering data that is entered manually and recapitulated so that the queue process and order completion take a long time and the queues can even be swapped. Opportunities for improvement and recommendations for improvement, in this case, are being able to improve existing business processes and providing an information system for ordering souvenirs that is more flexible than social media Instagram and according to the needs of Toko ABC..

Di era digital saat ini, kemajuan teknologi informasi mengalami pertumbuhan yang pesat. Salah satu perkembangan yang signifikan terjadi dalam bidang kecerdasan buatan (Artificial Intelligence), yang telah diterapkan luas di berbagai sektor, termasuk analisis data dan pengambilan keputusan. Para peneliti di bidang data mining telah menciptakan beragam algoritma klasifikasi yang meningkatkan proses klasifikasi dengan memanfaatkan atribut numerik dan nominal. Klasifikasi adalah suatu proses analisis data yang menghasilkan model untuk mewakili kelas-kelas dalam data tersebut, seperti yang terjadi pada Decision Tree yang digunakan untuk menganalisis klasifikasi dan pola prediksi data serta menggambarkan hubungan antara variabel atribut  dan variabel target  dalam bentuk struktur pohon. Python, sebagai bahasa pemrograman populer dalam pengembangan kecerdasan buatan, menyediakan pustaka dan framework yang mendukung implementasi algoritma Decision Tree. Dengan menerapkan algoritma Decision Tree untuk klasifikasi data evaluasi mobil menggunakan Python, kita dapat memanfaatkan kekuatan AI untuk memberikan solusi efektif dan efisien dalam pengambilan keputusan terkait evaluasi mobil. Menggunakan dataset Evaluation Car dari UC Irvine Machine Learning Repository, hasil penelitian menunjukkan akurasi sebesar 81%. Confusion Matrix dan laporan klasifikasi menunjukkan performa model yang baik dalam melakukan prediksi.

This research aims to elucidate the design of metaverse learning media with the goal of improving the quality of education. Metaverse is a virtual environment that enables interaction among users through 3D avatar representations. In the context of education, the use of metaverse offers a different learning experience, optimizing the current technology and educational media, and supporting the development of soft skills and building confidence through the simulations offered. This research also discusses the potential and limitations of metaverse educational applications, as well as the challenges and opportunities for their use in the education world. The research findings indicate that the use of metaverse in education can overcome existing limitations, such as classroom capacity, distance, and time constraints. However, the use of metaverse also poses some challenges, such as user security and privacy. Therefore, the design of metaverse learning media needs to consider these aspects to enhance the quality of education.

This study aims to investigate the influence of macro fundamental variables (such as inflation, interest rates, and exchange rates), micro fundamental variables (such as DER, DPR, DR), as well as capital structure variables, financial performance, and ownership structure as intervening variables on firm value in the mining sector on the Indonesia Stock Exchange. This study uses a quantitative approach with secondary data from the financial statements of mining companies listed on the Indonesia Stock Exchange for the period 2010 to 2019. Data collection is done by random sampling of these companies, and data analysis uses the SmartPls 4 application to test the relationship between the variables studied. The results of this study are expected to provide a deeper understanding of how macroeconomic and microeconomic fundamental factors, as well as capital structure, financial performance, and ownership structure, contribute to firm value in the context of the mining sector in Indonesia. The practical implications of this study are expected to provide guidance to stakeholders, including company management, investors, regulators, and academics, in optimizing investment strategies and decision-making in this highly potential sector. This research can also make a theoretical contribution in expanding the understanding of the factors that influence firm value in the mining sector

The background of this study is based on the challenges currently being faced by the Indonesian financial sector in terms of transparency and trust. Various cases that often occur such as data manipulation, fraud, and lack of accountability in the financial transaction process have drastically reduced public trust in financial institutions. Blockchain technology here is present as one of the potential solutions to overcome this problem, by offering a decentralized, transparent, and immutable financial recording system. This study aims to analyze the implementation of blockchain technology in increasing transparency and trust in the Indonesian financial sector. The research method used is qualitative with the Systematic Literature Review (SLR) approach. This research was conducted by collecting and analyzing relevant literature related to the implementation of blockchain in the financial sector, especially in Indonesia. The analysis process was carried out using the content analysis method in order to identify the benefits, challenges, and impacts of blockchain implementation on transparency and public trust. The results of the study show that blockchain has great potential in increasing transparency in the financial sector, by reducing the risk of data manipulation and increasing operational efficiency. However, several challenges are still faced, such as inadequate regulations, uneven technological infrastructure, and low digital literacy in the community. This study emphasizes the need for collaboration between the government, financial institutions, and the community to create an ecosystem that supports the widespread adoption of blockchain technology. With a collaborative approach, blockchain is expected to contribute significantly to strengthening a more transparent, accountable, and highly competitive financial ecosystem in the future. In addition, this study provides an understanding of the readiness of the Indonesian financial sector in facing technological changes and innovation opportunities in the future.

Companies in making a decision require good consideration, therefore we need a system that helps provide information from good data processing so that it becomes the basis for decision making. This analysis aims to create a decision support system that can help the company to provide an overview of the decision to procure a new fleet that the company wants to buy.This decision support information system is implemented using the Hypertext Preprocessor (PHP) programming language and MySsql as the database application so that the desired features are created and neatly stored in operating the information system.This decision support information system also uses the Weighted Product method which is used to assist in decision making in determining the procurement of new fleets.The end result of this decision support information system is to combine a programming language with the Weighted Product method which can be used for decision making in determining which new fleet to buy, where the calculations are based on several predetermined criteria so that their use is on target.

Executive Information Systems (ISE) have become an integral part of modern corporate management, providing executives with relevant and immediate information to support decision making. This journal discusses the implementation of the Executive Information System in the employee payroll process using the Microsoft Visual Studio 2010 development environment and SQL Server database. This research includes the design, development and implementation of an Executive Information System application for the employee payroll department. The system development methodology focuses on requirements analysis, application design, coding, testing, and implementation. Microsoft Visual Studio 2010 is used as the primary development environment, providing powerful tools for building intuitive and efficient user interfaces. SQL Server database is used as an integrated and secure data storage. This application is designed to manage payroll information, including employee personal data, salary history, salary deductions and bonuses. The advantages of this system include the ability to provide real-time information to executives, increase the efficiency of human resource management, and support faster and more accurate decision making in the context of employee payroll.

In the digital era, universities play an important role in developing policies and technology to ensure students' academic integrity. This research aims to explore and analyze holistically the contribution and effectiveness of universities in maintaining academic integrity in the digital era. The research method used is a literature review with a semi-systematic review approach, which is then expanded with bibliometric analysis using the VOSViewer tool. Of the 115 papers identified in the bibliometric analysis with the keyword “college plagiarism”, it was found that the term “plagiarism” was often associated with “student”, “college”, “academic”, and “plagiarism”. Key relevant terms include “training”, “locus of control”, “rabin-karp”, “text mining”, “hash”, “levenshtein distance algorithm”, “similarity”, and “publication”. Universities should conduct training and strengthen students' locus of control to instill integrity values. The concept of “similarity” in plagiarism detection helps maintain the originality of academic work, while “rabin-karp” and “text mining” technologies are used to recognize plagiarized text and find suspicious patterns. The “hash” concept and “Levenshtein distance algorithm” are important in maintaining academic integrity, and “publication” ensures research meets academic integrity standards. Universities leaders are responsible for preventing plagiarism by implementing code of ethics and promoting awareness and understanding within the entire academic community.

This study aims to develop, determine the feasibility of android-based learning media. This type of research uses research and development (Research and Development) methods with the Borg & Gall development model consisting of 5 main stages which include: a) conducting preliminary research,   b) developing the initial product with Kodular Creator, c) conducting product validation, d ) conducting trials, and e) making the final product. Data collection techniques used are questionnaires and interviews
 Keywords: Borg & Gall, Android-Based Learning Media, Informatics

Nowadays, advances in information and communication technology have had a major impact on various sectors of life, including in the field of trade and e-commerce. However, as it happens in the scope of social media, TikTok Shop is also dealing with challenges and changes. One of the issues that is sticking out and is currently hot is the permanent closure of the TikTok Shop feature that has occurred in Indonesia. This research will carry out several processes starting with data collection, then data labeling, data preprocessing, data sharing, weighting training data, using the Naive Bayes method, and ending with testing. In this study, the results of the implementation that has been made or built are discussed. The method used is the Naive Bayes Classifier Method to classify training data as much as 800 data, which is 80% of the total data. Then, testing is carried out using 200 testing data, which is 20% of the total data. The evaluation results show an accuracy value of 73%. In addition to the accuracy value, this research also recorded the precision, recall, and F1 score values. The classification that appears most often and contributes the highest in these values is the Positive classification as much as 420 data or 42% of the total data used..
 
 

Abstract. One example of advanced information and communication technology is the internet. One can readily obtain the knowledge they require thanks to the internet. As a result, the internet is a crucial tool that needs to be used and understood to the fullest. The internet may be used for both beneficial and harmful purposes, which is why it is a double-edged sword with all of its risks. By filtering negative content using a list of 773 thousand negative content blocked on the trust + ™ Positive website by the Ministry of Communication and Information, the author hopes to create a positive internet network in the Prabumulih community and enable effective and efficient use of internet resources. The author can create a favorable online environment in Prabumulih City by utilizing the action research approach and the policy zone response method.

This study examines the work engagement of millennial employees at PT Jamkrindo in 2022. The work engagement level at PT Jamkrindo is reported to be high and has shown an improvement compared to the previous year. However, there are key areas that need to be the company's top priority, namely providing an adequate work environment and ensuring certainty in employee career development. Self-determination acts as a mediation factor, allowing the research to explore and understand the internal processes that occur in the minds and emotions of individuals. How individuals respond to and interpret the work environment and career development personally can explain why and how work engagement is formed, involving psychological factors such as individual goals, values, and self-perceptions. Based on the research findings, the work environment at PT Jamkrindo has a significant impact on the level of work engagement. Similarly, career development at PT Jamkrindo also significantly influences the level of work engagement. The work environment at PT Jamkrindo has a significant impact on the level of work engagement through self-determination as a mediating factor. However, career development at PT Jamkrindo does not have a significant impact on work engagement through self-determination. There is potential for further in-depth research, including a deeper understanding of specific factors in the work environment and career development programs that have the most significant impact on millennial employees.

The need for information for Sukoharjo Village is still lacking, Sukoharjo Village still provides information and makes complaints using conventional methods. This conventional method causes slow response and lack of monitoring and evaluation from village officials. This research aims to design a website-based Sukoharjo village profile information system. This research uses the waterfall method which starts from the analysis, design, coding and testing stages. Meanwhile, several methods in the data collection process were observation, interviews and literature study. And for the system testing method, black box testing is used with system design using UML (Unified Modeling Language). This village profile information system can disseminate information about Sukoharjo Village, especially about the village, organizational structure, population data and can make complaints online which can be accessed via devices owned by visitors.

This article aims to describe the implementation of the Madrasah Education Section's Educator and Education Personnel Management Information System (SIMPATIKA) at the Palangka Raya City Office of the Ministry of Religious Affairs. The main focus in this research includes: implementation, effectiveness of use, and inhibiting factors of SIMPATIKA implementation. This research was conducted qualitatively with data collection through in-depth interviews, observation, and documentation. The results showed that: 1) The implementation of SIMPATIKA has been carried out by the Madrasah Education Section at the Palangka Raya City Ministry of Religious Affairs Office, which is managed by SIMPATIKA Special operators.2) The effectiveness of using SIMPATIKA as a madrasah data management system has not been fully realized.3) The inhibiting factors of SIMPATIKA implementation are mainly caused by the ignorance of some teachers in accessing the management information system for educators and education personnel (PTK). This has led to the delegation of SIMPATIKA account management to madrasah operators, whereas the account should be managed individually by each educator. The proposed solution is to hold technical guidance on the SIMPATIKA management information system, and provide an understanding of the rights and responsibilities in using individual SIMPATIKA accounts..

This research is based on the devolment of Syapab banking in the digital era. The aim this research is to analyze the devilment of sharia banking in the digital era. This research investigates the development and introduction of Islamic banks in the digital era, which is expected to help people without having to go the bank. This research uses library research methods, wich use data sources collected from books information technology-based financing services will be very helpful in increasing public  services,access to information has become faster and easier and can accesed anytime and anywhere.

This article aims to optimize the profit of seblak business through the application of Simplex method in linear program. Seblak is a popular business today with a wide variety of toppings such as meatballs, sausages, noodles, feet and many more, but efficient production planning and resource allocation can be challenging. In calculating this profit optimization, we use the Simplex method to identify production combinations that can generate maximum profit by considering various constraints related to raw materials, processing time, production costs to product selling prices. The result is expected to help seblak business owners in making smarter decisions regarding production, inventory, and pricing strategies, thus improving their business profitability.

Karya Karsa application is one of the important platforms in providing diverse services to users in various fields. This article analyzes the quality of services provided by the application with a focus on user satisfaction, ease of use, response from service providers, as well as direct evaluation of user interaction with the application. This research was conducted through an online survey of Karya Karsa application users and direct application usage analysis. The survey results showed the satisfaction of most users with the services provided, but also highlighted areas of improvement related to the user interface that needs to be more intuitive. Analysis of application usage revealed good transaction speed, but showed potential improvements in response to users during peak hours. Recommendations focus on improving the user interface, enhancing the infrastructure and responsiveness of the application, and improving customer support. It is expected that the implementation of these recommendations will improve the service quality and user experience of the Karya Karsa application, strengthening its position as a reliable platform for the community to access the services provided.

Procurement is a recurring activity in a company's business process. While the traditional procurement process is often considered less efficient and effective, it requires a better solution. The traditional procurement process also often requires a long time, high cost, and lack of transparency. This can lead to inefficiency and the risk of misuse. This research aims to develop a more efficient and effective procurement application model using SDLC and waterfall methodologies. This research uses observation methods to study the current procurement process and interviews to get input from stakeholders regarding application needs. The results showed that the developed procurement application model can help companies in a more efficient and effective procurement process. This application model can help companies to save time and costs, as well as increase transparency and accountability of the procurement process.

Implementing innovative business models has been the key to success for many start-ups in the e-commerce industry. One example is the Bukalapak application which has achieved extraordinary success in a relatively short time. In this abstract, we will discuss the implementation of an innovative business model that is behind Bukalapak's success in facing fierce competition in the e-commerce industry. Bukalapak is an electronic trading platform that is one of the main players in the Indonesian market. In an effort to win competition in this tight industry, Bukalapak has implemented several innovative business models that differentiate itself from its competitors. This feature is different from other e-commerce platforms because it bridges gold trading directly between consumers without intermediaries. This provides additional flexibility and security for consumers who wish to invest or transact with gold. Bukalapak's success in implementing this innovative business model has been proven through the growth of active users of its application, increased transaction turnover, and increased market value. This success reflects the importance of implementing innovative business models in facing competition in the current e-commerce industry.
 

Borneo Conblock Mandiri faces significant challenges in its monthly production, with an average of more than 50,000 paving units, but the number of defects exceeds 4,500 units. These defects include cracks, breaks, and uneven or jagged surfaces. To overcome this problem, a quality control analysis is proposed using the seven tools method to reduce defects and improve overall product quality. The research results show that in the production of Holand-type paving, the primary defects include 4,965 units (53%) cracks, 2,661 units (29%) broken, and 1,660 units (18%) the surface is not smooth. Human and machine factors were identified as the leading causes of defects in paving. The proposed solution is the addition of a foreman as an additional supervisor, especially in the production process. The new foreman inspects the material more intensively before it is put into the mixer. Hopefully, these steps can reduce the number of defects and improve overall product quality. The expected result of this research is that it can positively impact the productivity and reputation of Borneo Conblock Mandiri. By addressing the root causes of defects and implementing appropriate solutions, companies can improve their production processes and deliver higher-quality products in line with market demands.

Modern agriculture increasingly relies on technology to increase efficiency and productivity, so that humans nowadays always need tools that can make their work easier, especially for monitoring soil moisture. in presenting a soil moisture control monitoring system tool, which can be used by the community for efficient gardening. Where the system uses microcontroller technology which has been developed internationally. The creation of this system aims to make gardening easier. From the case studies raised in this research, the lack of efficient soil moisture affects plant growth. A system was created to produce a tool for controlling and monitoring soil moisture conditions in waterfall method plants. The stages of this research include analysis, system design, implementation, testing and maintenance. The implication of this research is the optimization of the gardening process by farmers in maintaining soil moisture by automatically turning on and turning off buttons. This system is based on IoT which is a soil moisture sensor using a soil moisture sensor & I2C LCD as a monitoring tool. It is said that the soil is damp if the water content is 60% -80%, if it is less than this then the water pump will turn on automatically.

Scholarships are a form of assistance in the form of educational expenses provided by the government or foundations to students or students who are categorized as from underprivileged families. However, in datermining scholarship recipients, there are still many scholarship recipients who come from wealthy families, while those from less fortunate families do not receive this assistance. This may be due to calculations and data processing that still use manual methods, causing scholarship recipients to not be on target. The purpose of this research is to simplify and minimize calculation errors in determining scholarship recipients for the Smart Indonesia Program (PIP) at SMK Karya Medika. Therefore, for calculating and processing PIP scholarship recipients data, data mining techniques can use the calssification method using the K-NN algprithm. K-Nearest Neighbor is a data classification method that will be used for data objects based on learning data that is closer to the object. In this study using the Confusion Matrix test so as to obtain an accuracy value of 80.00%.     

Early childhood plays an important role in forming the basis of development, which involves stimulation of various aspects such as moral religious values, social emotional, language, cognitive, and physical motor skills. The concept of early childhood learning is focused on play, where every activity is designed to be play, so that learning becomes more effective. Parents also need to understand today's children's education to interact with children positively. This research focuses on sentiment analysis of children's education-based app reviews on the Google Play Store, using Random Forest and Logistic Regression methods. The review data is taken from three apps with the theme of child development, namely "About Kids", "PrimaKu", and "Teman Bumil", with a range of review years between 2018 and 2023. The test results show that Logistic Regression has higher accuracy compared to Random Forest, especially in the "About Kids" and "PrimaKu" applications with accuracy above 90%. The conclusion of this research highlights the importance of sentiment analysis in improving understanding of user responses to children's education applications, with suggestions for future research to increase the number of datasets and variations in testing schemes by tuning hyperparameters to improve prediction accuracy and more optimal results.

A web-based sales information system is a key element in the success of modern business, especially in the rapidly growing e-commerce era. Developing information systems that are responsive and adaptive to change is a major challenge in meeting dynamic market demands. The problem that occurs is that the web application that is built is not in accordance with the wishes and needs of the user so that applications and transactions are difficult to carry out. This article describes the implementation of the prototype method in developing a web-based sales information system, with a focus on aspects of needs analysis, design, development, implementation, and testing and evaluation. By developing a web-based sales information system with a prototype method, consumers can easily operate the application and make transactions easier because this system can be used anywhere and anytime and its development involves consumers, so this system can really be used well and easily.

Tangerang Regency is a district located in Banten Province, Indonesia. Tangerang Regency is divided into 29 sub-districts, 28 sub-districts and 246 villages. The Tangerang Regency Opendata Portal is a DKAN-based platform, which is a community-based, free and open-source open data platform that provides freedom for organizations and individuals to publish and consume structured information. The Tangerang Regency opendata portal provides datasets that are useful for local communities to find out various types of information such as economic, social, educational, health, population and so on. So that this data can be processed into valuable information, tools are needed to visualize these data so that they can display information about population datasets, these tools include Business Intelligence (BI) software. This research aims to provide a clear picture or visualization of population data for the Tangerang Regency area from 2019 to 2021. This research was conducted using the Microsoft Power BI application with stages of data collection, data entry, data modeling and data visualization. The results of this research are in the form of a dashboard/summary report and detailed reports regarding population data for Tangerang Regency.
 

The lack of awareness from Resto visitors in the process of disposing of garbage in its place makes the environment around the Resto polluted at least the awareness of Resto visitors to dispose of garbage in its place is still low. The purpose of this research is to create an automation system for the trash can. The problem that arises for Resto S2 is the lack of effectiveness, especially in the tissue waste section, one of the solutions that can be done for these problems, namely by designing a device in the form of a smart trash can that can open and close automatically, so that Resto visitors do not need to make direct contact with the trash can. Researchers aim to realize the design of the tool, as for the method carried out in this study is to implement the design of a smart trash can in the form of a box that has an input in the form of an ultrasonic sensor, and an output in the form of a servo motor. The results of input and output testing show that the ultrasonic sensor can detect movement in front of the trash can and the servo motor can move the trash can cover, so it can be concluded that the smart trash can work system as a whole can function properly in accordance with the design that has been made.

This research aims to analyze the use of the cashier application software "Majoo" in the cash receipt information system Mencari Kopi. The object of this research is the use of the cashier application in cash receipts in Mencari Kopi. The subjects in this research were employees, owners of Mencari Kopi and consumers of Mencari Kopi. This research uses primary data used in this research, namely the source comes from the finance department through observations, interviews and documentation carried out on employees or owners of Mencari Kopi and consumers of Mencari Kopi who pay by cash or digital wallet (e-wallet). ). Secondary data used in this research are documents or notes regarding cash receipts and presentation when using the cashier application on Mencari Kopi.   The results of this research. The cash receipt system at Mencari Kopi is run with the help of the “Majoo” cashier application system. The results of the research that has been carried out, in recording cash receipts, payments via cash and non-cash (e-wallet) are equally efficient as long as you still use the "Majoo" cashier application. The results of research conducted and interviews by users of the cashier application and consumers of Mencari Kopi, the recording of cash receipts recorded in Mencari Kopi and those received by consumers of Mencari Kopi are appropriate.

The increasing development of technology and increasing buying and selling activities require every business owner to adapt to technological developments, for business owners selling or processing sales data is very important as is done by PT.XYZ household furniture items such as tables, chairs, dressers, wardrobes, sofas and many more, where sales data is still done manually, such as a lack of reviewing what products consumers need and ineffective data storage. To overcome this problem the researcher tried to implement it using one of the methods available in data mining, namely the K-Means Algorithm. –certain data groups (clusters). So, by grouping this data, the company can find out which items are selling best and which are not selling well. So that the goods in the warehouse do not pile up. From this research, the resulting output is 5 of the best-selling items, and 5 of the least-selling items. With the data processing carried out, it is hoped that it can provide solutions to the company so that they can find out which items are the best-selling and best-selling items.

Currently we cannot escape the influence of information technology. Because like it or not, the development of science and the application of technology is experiencing an increasingly rapid increase, especially in every work environment such as business practitioners.Computer/information technology is the technology that is most widely used in various agencies, both government and private. The rapid development of technology over time means that human work can generally be completed quickly. Technology is a tool that is often used in human activities. The role of technology today makes information processing easier because processing is necessary so that the resulting information can be useful for its users. Competition in the business world requires developers to find a pattern that can increase sales and marketing of goods, one of which is by utilizing transaction data. The availability of abundant data, the need for information to support decision making to create business solutions, and infrastructure support in the field of information technology are the reasons for the birth of data mining technology. Problems that occur at UD. Martua is lacking in reviewing the products being sold, what products consumers need and less effective data storage. With data mining, it is intended to provide real solutions to UD. Martua can find out which items are selling well and which items are not selling well, then can compare sales from year to year to become an effective medium for developing sales at UD.Martua. In grouping sales data, the fields used are item name, quantity purchased, quantity sold for 1 week, then the data will be processed with the k-means clustering algorithm. The final result with 20 grouping data samples was the final result with 2 clusters, namely, cluster 1 (C1) with 10 best-selling items, cluster 2 (C2) with 10 non-selling items. With data mining using the K-Means algorithm, losses for UD.Martua..speeding up decision making to restock goods that are selling well so that consumers who want to buy don't have to wait long. Providing information from sales data to find out what causes profits or losses at UD.Martua. Providing convenience for UD.Martua in determining which products are selling and which are not selling so that there is no accumulation of goods that are not selling and resulting in losses for UD.Martua.

Data security is an important aspect of information systems, especially in the widely used windows operating system environment. Modern encryption technology offers a variety of ways to increase data protection from security threats. This method utilizes literature insights and comparative analysis of various cryptographic techniques applied to the Windows operating system. Data sources were obtained from academic journals, books and technical documents from Microsoft and cyber security institutions. This article describes various modern cryptographic techniques that can be applied to the Windows operating system, including symmetric and asymmetric algorithms and end-to-end encryption. Protocol implementation security. This research also examines the effectiveness of cryptographic techniques in overcoming cyber security threats and provides the best recommendations for improving data security. It also provides a comparative analysis of various cryptographic techniques implemented in Windows operating systems. This study shows that evaluating encryption techniques can help overcome cyber threats and provide optimal solutions to improve data security. Data sources were obtained from academic journals, books, and technical documents from Microsoft and cyber security.

Evaluation of SMILE in Data and Information Management (Case Study of BPJS Employment, Tanjung Morawa Branch) Using the User Compatibility Method. Effective data and information management in financial institutions such as BPJS Employment requires an application system that meets user needs. This research aims to evaluate SMILE at the Tanjung Morawa BPJS Employment Branch using the User Compatibility method, which assesses the extent to which the application meets the user's needs, abilities and expectations. This research method involves a survey of SMILE users at BPJS Employment Tanjung Morawa Branch, taking into account aspects of usability, efficiency and user satisfaction. Data was collected through questionnaires, interviews and direct observation of smile users. The evaluation results show that SMILE at BPJS Employment Tanjung Morawa Branch has a high level of compatibility with users. The research results show that all EUCS independent variables (indicators), consisting of Content (Content), Format (report), Accurancy (accuracy), Timeliness (speed of presentation), Ease of Use (easy to use), which have a significant relationship with user satisfaction SMILE. Users find this application easy to use, improves work efficiency, and meets their expectations regarding data and information management. However, several recommendations for improvement were also put forward, including increased training for users, improved integration with other systems, and improved data security. This study makes an important contribution to further understanding the extent to which SMILE meets user needs in internal environments. The evaluation results and recommendations produced can serve as guidelines for developing and improving smile in the future.
 
 

PT XYZ, a building construction and design company in Palembang. The number of employees in this company is 30 employees with project, finance, marketing and also human resources (HR) divisions. PT XYZ has a need to improve the efficiency of human resource management. In the current condition, the company still relies on manual processes for recruitment, attendance, layoff data management, and employee leave applications. This Personnel Information System uses the Rational Unified Process (RUP) method as a system development method. System development uses the Laravel framework, PHP, CSS, HTML programming languages. In the analysis stage using PIECES and Usecase Diagram. System development uses two main approaches, namely using the FlutterFlow low-code platform and the Laravel Framework. The final result obtained is the implementation of a web-based Personnel Information System at PT XYZ. The implementation of this system makes a significant contribution in improving the efficiency and accessibility of staffing data at PT XYZ.