The web-based land transportation management system is a modern solution for managing transportation operations by utilizing web technology to facilitate monitoring, scheduling, and optimization of fleet usage. This study aims to analyze the strengths, weaknesses, opportunities, and threats in the implementation of a web-based land transportation management system using SWOT analysis. The results of this study are expected to serve as a guide for companies or transportation management agencies in designing and developing efficient and effective systems. Although there are several challenges, such as dependency on stable internet infrastructure and relatively high implementation costs, the potential benefits, such as increased operational efficiency, cost reduction, and improved customer service quality, make this system highly relevant and have strong prospects for application in the land transportation industry.

Customer churn is a major challenge in e-commerce, directly affecting revenue and profit. This study aims to develop a machine learning model using XGBoost to predict churn probability. To handle class imbalance, SMOTE was applied as a resampling method, and hyperparameter tuning was performed to enhance performance. The model was evaluated using the F2-score, prioritizing recall while maintaining precision. The results show that the XGBoost model with SMOTE achieves strong performance, with an F2-score of 0.849 on the tuned test data. This model can help businesses identify at-risk customers early, enabling proactive retention strategies.

This research aims to analyze and develop a community satisfaction survey work system carried out by the Tanjung Tiram District Head Office, Batu Bara Regency. Community satisfaction surveys are one way to measure the extent to which public services provided by government agencies, in this case the sub-district office, meet the needs and expectations of the community. This research includes the design, implementation, and evaluation of the system used to collect and analyze survey data. Through representative and systematic data collection, it is hoped that the survey results can provide constructive input for improving the quality of public services in the region. It is hoped that the results of this research can provide useful recommendations for policy makers in optimizing the public service system based on community satisfaction in Batu Bara Regency

The development of computer technology helps many aspects of life. One aspect of life that takes advantage of technological developments is the health sector, in order to solve problems including brain tumors. Brain Tumor Disease is the growth of abnormal cells in or around the brain in an unnatural and uncontrolled manner. Patients with brain tumors continue to increase every year, because the initial symptoms are often underestimated. Therefore created a software that can help diagnose brain tumors using the certainty factor method

Determining the best hosting service provider is a very important first step in starting a digital business. Mistakes in choosing a hosting service will have fatal consequences for the continuity and smooth running of a digital business. This research aims to select the best hosting service in the form of a Decision Support System (SPK). Determining the best hosting service provider is very important because hosting is one aspect that determines the success of an e-business. This research uses the PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) method to determine the ranking of the best hosting service providers. The performance assessment of hosting service providers was carried out from January to April 2024. This research was carried out using data from 9 alternatives and 5 criteria which are crucial aspects in hosting services, namely, loading time, server uptime, number of downtimes, support and user friendliness. In this research, it was found that the hosting service provider Niagahoster was the first ranked alternative with a net flow value of 0.75.

The structure of the Windows operating system plays an important role in supporting the operational performance of computers, especially in business environments and professional users. This system is designed with a modular and layered architecture, which includes various components such as Hardware Abstraction Layer (HAL), I/O device manager, virtual memory management, and an integrated security system. Windows also supports energy management and plug-and-play mechanisms, which improve power efficiency and hardware compatibility. This architectural approach allows Windows to optimize interactions between hardware and applications, supports multitasking, and provides an efficient user interface. Thus, the structure of the Windows operating system is able to significantly improve device performance, which leads to optimization of operational performance.

This research compares the techniques used in the file system structures of Windows and Linux. Each operating system employs distinct approaches to data organization, access, and management, as reflected in their respective file systems: NTFS for Windows and ext4 for Linux. The study explores the strengths, weaknesses, and applications of these systems under various conditions. By analyzing both theoretical documentation and empirical experiments, this research highlights the technical and philosophical aspects influencing the design and performance of file systems in Windows and Linux. The findings provide insights for selecting an appropriate file system based on specific requirements, emphasizing performance, reliability, and usability.

Google Translate is an artificial intelligence-based translation service developed by Google. Since its introduction in 2006, this service has continued to create with the application of Neural Machine Translation (NMT) technology, which improves the accuracy and fluency of translation compared to previous methods. This study aims to determine the effectiveness and limitations of Google Translate in translating Batak into Indonesian. The research method used is descriptive qualitative with a comparative approach of Google Translate translation results and manual translations by professional translators. The study results show that Google Translate can translate basic words and simple sentences quite well. However, there are several limitations, such as a lack of understanding of the cultural context, idioms, and dialect variations in the Batak language. In addition, the translation is also influenced by the limitations of the database and vocabulary enrichment in this service. Thus, although Google Translate can be a tool in translation, users still need to do manual verification to ensure accuracy, especially in fields that require high precision such as law, academics, and professional communication.

This study aims to develop an intuitive and efficient smart home control system by utilizing hand tracking and speech recognition technologies. These technologies employ the OpenCV, Mediapipe, PyAudio, and Speech Recognition libraries to recognize hand gestures and voice commands in real-time. The system is developed using a Raspberry Pi connected to a webcam and microphone as input devices, and a relay to control electronic appliances. The results show a high accuracy rate at optimal light intensity for hand tracking and a specific distance for speech recognition. This system is implemented in an IoT environment to control devices such as lights and door locks. The research is expected to contribute to the development of smarter and more user-friendly smart homes.

The manual attendance system using paper at work locations other than offices at PT Gresik Migas creates challenges in the effectiveness and efficiency of employee attendance records. This study implements a web-based attendance system that integrates geolocation and selfie features to improve the accuracy and efficiency of attendance recording. The system was developed using native PHP for backend, jQuery for frontend, MySQL as database, and Leaflet JS for geolocation implementation. Implementation results show the system was successfully implemented in 5 different locations with a 50-meter validation radius and used by 40 employees. This system enables real-time attendance monitoring through an admin dashboard and produces more efficient attendance records compared to the previous manual system.

Lubuk Karet Village has great potential in rubber production. However, the rubber sales process is often faced with various obstacles, such as difficulty in determining the right price and lack of transparency in transactions. This study is an analytical study using a qualitative approach. The aim is to analyze and design a prototype of a rubber sales application. This study uses questionnaires and interviews as the main data to answer research questions. The output of this study is the identification of problems and concerns of farmers related to how to calculate market prices, difficulties in recording transaction history, and minimal transparency of information regarding selling prices in the wider market. Then the second finding is regarding the prototype design of a prospective rubber sales application which will later be further developed by researchers. From the results of the analysis in this study, it is hoped that there will be further development of the application with farmer data entry features, rubber price calculations, and transaction tracking. It is hoped that this application can provide convenience for farmers in selling their crops, increase farmers' income, and provide transparent information regarding market prices. In addition, this application can also be a promotional media for local rubber products.

The development of digital era technology is currently so rapid that all kinds of human activities are very dependent on technological advances. Digitalization has penetrated all sectors of modern human life, including data archiving activities. Archives are very important for an organization or government if the archives are managed properly and correctly. Because the completeness of data and information really depends on the archiving system. The aim of this research is to determine the effect of implementing digital archives for storing digital documents. This type of research uses a qualitative approach. This qualitative research seeks to explore and understand different truths by different people. In a qualitative approach, one type of approach that is often used is the case study approach. The data analysis technique used is an interactive model data analysis technique. The results of this research explain the effects of implementing digital archives for storing digital documents.

The rapid development of science and technology has driven increasingly intense global competition, demanding educational institutions to play an active role in developing human resources (HR). Higher education serves as a platform to enhance students' competitiveness, not only through academic education but also through student organizations such as the Student Executive Board (BEM). This organization provides opportunities for students to develop social skills, leadership, and other soft skills that are highly essential in the professional world. STMIK Widuri, as one of the higher education institutions in Indonesia, integrates academic education with students' personal development through organizations like BEM. This study aims to evaluate the level of satisfaction among the academic community regarding activities organized by the BEM of STMIK Widuri during the 2023–2025 period using the Service Quality (SERVQUAL) approach. This method measures service quality based on five key dimensions: reliability, responsiveness, assurance, empathy, and tangible aspects. Data were collected through interviews, observations, questionnaires, and literature reviews, with a total of 51 respondents comprising students, lecturers, and staff. The results of the study indicate that all data are valid and reliable based on the Cronbach Alpha test, with values exceeding 0.6. Analysis using SPSS software shows a gap between respondents' perceptions and expectations of the services provided by BEM. These findings are expected to provide insights for the BEM of STMIK Widuri to improve service quality and design programs that better align with the needs of the academic community. Thus, BEM's role as a facilitator of student potential development can be further optimized, supporting the achievement of STMIK Widuri's vision as a globally competitive educational institution.

This research aims to develop the company website PT. Rantangin Digital Indonesia uses the latest technology, namely Next.js and Tailwind CSS. This website development was carried out to increase visibility and user experience in accessing the services offered by the company. Next.js was chosen as the development framework because of its ability to build fast, scalable and SEO-friendly web applications, while Tailwind CSS was used to speed up the interface design process with a flexible and responsive utility-first approach. The development method used is the Waterfall method, which consists of planning, design, implementation, testing and maintenance stages. The development results show that the website built has succeeded in fulfilling the company's goals of providing a digital platform that is easy to access, responsive on various devices, and has optimal performance. By using Next.js and Tailwind CSS, website development can be done efficiently and effectively, and provide a better user experience. Recommendations for further development include integration with content management systems and analytical features for monitoring website performance.

Fraud in digital transactions has become a serious issue threatening the security and integrity of the fintech and e-commerce sectors. To address this problem, machine learning technology has emerged as an effective solution for automatically detecting anomalies and fraudulent transactions. This study aims to analyze the application of machine learning algorithms, specifically Support Vector Machine (SVM), Random Forest, and Ensemble Learning, in detecting fraud in digital transactions. The research adopts a quantitative approach with experimentation, testing the effectiveness of the three algorithms using a digital transaction dataset consisting of both fraudulent and non-fraudulent transactions. The results show that the Random Forest algorithm performs the best in terms of accuracy and recall, followed by Ensemble Learning, which enhances fraud detection performance by combining multiple prediction models. Meanwhile, SVM demonstrates satisfactory performance but is prone to overfitting issues when handling large and complex datasets. The study also finds that the problem of imbalanced data can affect model accuracy, and data balancing techniques such as oversampling are required to improve fraud detection performance. Overall, the findings suggest that machine learning, particularly Random Forest and Ensemble Learning algorithms, can be relied upon to improve fraud detection in digital transactions. However, challenges such as model interpretability and the need for periodic algorithm updates still need to be addressed to enhance the effectiveness of fraud prevention systems in countering the ever-evolving nature of fraud.

Communication is the process of exchanging information, ideas, thoughts, and feelings between individuals or groups through the use of words, signs, or actions. This process can take place verbally or non-verbally and involves various media and channels, such as face-to-face conversations, writing, gestures, facial expressions, and digital technology. This research was conducted at STMIK Kaputama Binjai, namely the WhatsApp group between lecturers and students. This study uses the Support Vector Machine (SVM) method. SVM is a type of supervised learning machine learning that requires sample data. Support Vector Machine (SVM) is an algorithm developed by Boser, Guyon, and Vapnik in 1992. Support Vector Machine (SVM) has a concept that is combined with previous computational theories. This method can transform training data into higher dimensions using non-linear patterns. The results of the Support Vector Machine method classification with a total of 16 positive sentiments, 40 neutral sentiments and 71 negative sentiments. Accuracy value 67%, margin error 39%. Positive prediction precision 75%, neutral prediction precision 83% and negative prediction precision 88%..

Social media has become a crucial part of modern life around the globe, providing users with various conveniences. However, its widespread use has also brought about new challenges, one of which is cyberbullying. This harmful issue can have serious emotional and physical effects on those targeted. Cyberbullying occurs in many areas, including sports, and soccer—a sport loved by millions—is no exception. Soccer players often face severe criticism, hate speech, and harassment on social media platforms. To tackle this problem, this study aims to create a strong model for detecting cyberbullying on the social media platform “X” using the Long Short-Term Memory (LSTM) method. By utilizing advanced machine learning techniques, the proposed model intends to identify and reduce instances of cyberbullying, helping to create a safer online space for athletes and the wider community.

The increasing waste problem requires innovative solutions that are efficient and sustainable. This study aims to design and build an Internet of Things (IoT) based garbage cleaning robot that can be monitored and controlled remotely. This system is designed by utilizing a microcontroller as the main brain, sensors to detect the presence of garbage, and an IoT-based communication module that allows monitoring and control of the robot via mobile devices or the web. Based on the results of the analysis and testing carried out, this study shows that the use of ESP8266 in the RC Trans Robot motor control with the Blynk application has succeeded in significantly increasing system efficiency. The system successfully responds to user input via a mobile application and can control the movement of the robot in real-time. The performance of the robot system controlled via a WiFi network shows good stability in various test scenarios. The robot can operate effectively within a distance that matches the range of the WiFi network, with fast control response and reliable communication.

School libraries have a strategic role in supporting the teaching and learning process, but the manual management system is a major obstacle in service. This research aims to design a web-based library information system to improve the efficiency and quality of services at SD Darul Ulum, Kisaran District. The research method used is a qualitative method with observation and survey techniques to collect data. The results showed that the web-based information system developed was able to transform the manual process into a more effective digital system, with the main features including membership management, digital book catalog, loan and return system, and report management. The system provides easy access to information, improves data accuracy, speeds up the administration process, and reduces the risk of losing documents. The implementation of a web-based library information system is proven to significantly improve the quality of school library services.
 

This paper aims to overcome the problem of manual financial recording that is still commonly used by MSMEs, which often causes data loss and inefficiency in financial management. To answer this challenge, researchers developed a mobile-based financial recording application using Flutter and a number of available supporting packages. This application is designed to be able to record and store income and expenditure data directly on the user's mobile device, making it easier for MSMEs to monitor their financial condition in real time. The development was carried out using a waterfall model approach, which includes the stages of analysis, design, implementation, and testing. To test the functional performance of the application, the Black Box testing method is used to assess the accuracy and reliability of the features without looking at the internal code structure. The test results show that all features can function as they should and the application is considered effective in supporting digital MSME financial recording.

The Personnel Information System at the Jayapura City Transportation Office aims to increase efficiency and effectiveness in managing personnel data. In today's digital era, manual data management has limitations that affect the speed and accuracy of information. Therefore, a computerized information system is necessary for better management of employee data. This study aims to analyze the implementation of the personnel information system at the Jayapura City Transportation Office, as well as evaluate its impact on personnel administration performance. The methods used in this study include direct observation of the system in use, interviews with staff and system managers, and analysis of the system's effectiveness in improving data management. The system was evaluated in terms of its ability to streamline administrative tasks, facilitate easy access to personnel data, and enhance overall efficiency in managing personnel information. The results of the study indicate that the system has successfully optimized employee data management, improved administrative efficiency, and made access to information faster and more accurate. However, some obstacles were identified, such as the need for further training for staff to use the system optimally and occasional technical issues with system integration. Despite these challenges, the personnel information system has proven to be an essential tool for improving the overall performance of the personnel administration at the Jayapura City Transportation Office. The study concludes with recommendations for further system enhancements and the importance of ongoing staff training to ensure the system's continued success.

Effective, efficient and structured management of personnel data is an important requirement to support smooth administration and operations in the government environment. This study aims to design and implement a technology-based personnel data management system at the Limapuluh Subdistrict Office, Batu Bara Regency. This system is designed to overcome various problems that arose in previous manual systems, such as data duplication, slow administration processes, and the risk of data loss. The methods used include system requirements analysis through interviews, application-based system design using the Data Flow Diagram (DFD), Sequence Diagram and Class Diagram models, as well as system implementation on available devices. The main features developed include employee data recording, digital attendance, work schedule management, and automatic reporting. The implementation results show that the new system is able to increase the efficiency and effectiveness of personnel data management, speed up the administration process, and increase data security. By training administrative staff, this system also strengthens the human resource management capabilities of the Fifty District Head Office. It is hoped that this research can be a solution and reference for other government agencies that want to digitize personnel data management.

The Electronic Medical Record Information System (RME) is an information technology solution used to manage patient medical record data digitally, replacing manual recording systems that are prone to errors and data loss. This report discusses the design and implementation of the Electronic Medical Record Information System (RME) at the Community Health Center, which aims to increase efficiency, accuracy and security in managing patient medical records. This system includes recording medical data, treatment history, diagnosis, drug prescriptions, as well as integration with other health service systems. With RME, the medical service process at the Community Health Center is expected to be faster, more transparent and organized. This research uses a web-based system development method with database-based programming, which allows medical record data to be managed centrally and easily accessed by authorized medical personnel. The results of implementing this system show a significant increase in speed of service as well as a reduction in administrative and medical errors.
 

The purpose of this study was to determine whether digital marketing media can influence consumer interaction with the Shopee marketplace. Online communication and sales are new things in the realm of marketing thanks to the rapid development of technology that allows individuals to make transactions through digital platforms. Currently, buying and selling transactions in the marketplace are in great demand and are popular with the public. One of the applications most often used by the public is Shopee. By using a digital marketing strategy in the Shopee marketplace, selling products without having to meet face to face with consumers becomes very easy. Business actors also try to apply efficient tactics to influence the level of consumer buying interest. In this study, the researcher applied a qualitative method that was explained descriptively by utilizing books, websites, and related journals. The quality and unique characteristics of the products being promoted
 

The safety and security of toll road users is a very important issue in road infrastructure management. In order to improve monitoring and response to potential dangers, smart CCTV technology can be an effective solution. This research aims to develop a smart CCTV detection system that can detect events that endanger safety, such as accidents or traffic disturbances. This system uses image processing technology and artificial intelligence to analyze CCTV footage in real-time and provide immediate warnings to security officers. Test results show that this system can detect events quickly and accurately, improving response and decision making to improve toll road safety. This system also allows for more efficient monitoring by reducing reliance on manual monitoring.
 
 

This research aims to analyze the role of Customer Relationship Management (CRM) implementation in increasing customer loyalty in the digital era. With the rapid advancement of technology, CRM has become an essential component of an effective digital marketing strategy. This research uses a qualitative descriptive method with a case study approach involving several companies that use CRM as a strategy to maintain and increase customer loyalty. Data was collected through in-depth interviews, surveys and secondary data analysis from companies using CRM platforms. Research findings reveal that effective CRM implementation—through personalization, regular communication, and leveraging customer data—can significantly increase customer satisfaction and loyalty. Additionally, this research highlights that the use of CRM allows companies to better understand customer needs and preferences, thereby providing more customized services. As a result, implementing CRM in the digital era has proven to be an important strategy for businesses to compete in an increasingly competitive market.
 

In Indonesia, people with disabilities are often overlooked and underestimated because they do not have perfect physical abilities to do certain jobs or activities. The majority of them come from underprivileged families and are often underdeveloped. The unstructured process of distributing assistance can result in the assistance provided is not in accordance with the needs, so it is not optimal in improving the welfare of persons with disabilities. In addition, without a clear grouping, it is difficult for the government to design a more specific and targeted assistance program. Therefore, to overcome this problem, the agency needs to have an additional system to be able to assist in overcoming the problem of disability assistance recipients, namely by using the clustering method to group beneficiary data based on age, type of disability, and type of assistance. Thus, this clustering is expected to provide information and a clearer picture of the needs of each disability group, so that the assistance program provided can be distributed more optimally according to what people with disabilities need. After calculating using the existing cluster formula4, iteration 2 is the same as in iteration 1 and there is no data that moves groups anymore so the calculation can be stopped. So that a cluster graph can be made grouping data on beneficiaries of assistance for disabilities in Binjai City using the K-Means algorithm clustering method.

This research aims to design and build a tool for detecting and repelling pests on kale plants using Passive Infrared (PIR) sensors and Internet of Things (IoT) based pesticide liquid which can be controlled via the Telegram application. This system works by detecting the movement of pests using a PIR sensor, which then activates the mechanism for automatically spraying pesticide liquid to repel pests. Users can monitor and control this tool in real-time via Telegram, providing flexibility in plant monitoring. Data from sensors is sent to the IoT platform and integrated with Telegram to provide remote notifications and control. Test results show that this tool can detect the presence of pests with high accuracy and is effective in repelling pests from the kale plant area. It is hoped that the implementation of this tool can help farmers maintain the quality and quantity of their kale harvest in a more efficient and environmentally friendly manner.

This research aims to develop an application for recommending safe and suitable skincare products for pregnant women. The application is built using the prototype method and implemented with the Python programming language using the Flask framework. The study encompasses product categories from Drw Skincare, including serums, toners, shampoos, body care products, facial washes, and creams. The system provides options for users to select categories of skincare ingredients they desire. The application issues warnings about skincare ingredients that should be avoided during pregnancy, such as retinol and specific acids. The end result is a list of recommended skincare products containing ingredients that align with the user's selected criteria. Each product is accompanied by comprehensive information about its ingredients and advice. Users can utilize search and advanced filtering features to find skincare products based on product types and brands. The application offers clear user guidance and an intuitive interface, enabling users to navigate and use the application comfortably. It is expected that this application can assist pregnant women in choosing safe and effective skincare products while providing a better understanding of skincare during pregnancy.

Healthy lifestyles are habits of doing something, be it food, healthy behavior so as to avoid the disturbance of all kinds of diseases, both physical and non-physical diseases, as well as birth control users must also strive for a healthy lifestyle, such as managing a healthy diet, rest, exercise, eating vegetables and fruits, doing optimal physical activity, not consuming alcohol, and maintaining a healthy body. In this problem, many family planning users do not pay attention to a healthy lifestyle because they think that the family planning tools used have no risk to health, but the use of family planning has side effects on health such as menstruation is not smooth, the body is obese, the body feels warm or feverish, there are blood clots, nausea, bloating, changes in vision, difficulty in getting back to normal, headaches, and others. To be able to attract the attention of the community in implementing a healthy lifestyle for family planning users, it is very necessary to have a system that can help people in changing their unhealthy lifestyle to a healthier one by grouping family planning user data based on variables that have been determined using the clustering method, to group data on healthy lifestyles for family planning users which later the results of this study can be used as input and guidance for a healthy lifestyle for family planning users, so that family planning users are more careful and have a healthy life. Of the 20 data, there are 3 groups, namely group 1 there are 4 data and group 2 there are 4 data and group 3 there are 12 data from the above results it can be seen that in cluster 3 is a group on family planning users based on a lot with a total of 12 data and is located in the contraceptive type group (X) is injectable birth control, and for the lifestyle group (Y), namely Frequent Night Baths and Risk (Z), namely Decreased Bone Strength.
 

A cooperative is a business entity based on the principle of kinship. Cooperatives have the aim of improving the welfare of their members through the activities they carry out. The Binjai City Cooperatives and UMKM Service is a regional apparatus within the Binjai City Government for government affairs in the field of Cooperatives, Small and Medium Enterprises. The Binjai City Cooperatives and UMKM Department always carries out assessments of every cooperative in the city of Binjai in the form of an assessment of the best cooperatives which aims to increase the motivation of cooperative institutions and as an evaluation material for the performance of cooperatives recorded in the City of Binjai. In carrying out the assessment of the best cooperatives carried out by the Binjai City Cooperatives and UMKM Service, it took quite a long time. This is because the data collection and processing process is conventional and simple. To overcome existing problems, a decision support system was created to facilitate the management and calculations of each cooperative. In this research, the method used in the calculation process is WASPAS (Weighted Aggregated Sum Product Assessment). The Weighted Aggregated Sum Product Assessment (WASPAS) method is a method that is able to minimize errors or maximize the assessment to determine the highest and lowest values. The final result of this research is a decision support system that is able to produce decision recommendations in determining the best cooperative at the Binjai City Cooperative and UMKM Department.
 

Noise in libraries can disrupt the concentration and comfort of visitors who are reading or studying. Therefore, a tool is needed to detect noise and automatically issue warnings to maintain silence in the library environment. This research aims to design and develop a noise detection tool in libraries using Internet of Things (IoT) technology. The device consists of a sound sensor that detects noise levels and sends data to a cloud-based server for analysis. When the noise level exceeds a specified threshold, the tool provides warnings through visual indicators and notifications to the library staff. The prototype was tested in a library environment and was able to detect noise accurately and issue real-time alerts. The results showed that the device effectively reduced noise levels and improved the comfort of library visitors. With the implementation of IoT technology, this system can be accessed and monitored remotely, facilitating library management in maintaining a conducive environment.

The increasing complexity of public demand for telecommunication services, particularly internet services, has pushed PT. Telkom, as one of the state-owned enterprises (SOEs), to continuously enhance the quality of its services. One of its flagship products, Indihome, offers faster internet connectivity compared to dial-up services. However, Indihome has been frequently criticized by customers due to service disruptions. This indicates a need for developing effective strategies to address customer complaints. The primary issue faced by the public is the lack of knowledge regarding service disruptions, leading to difficulties in explaining the problem to technicians for repair. This research aims to develop a Telkom service disruption diagnosis system that can assist the public in identifying issues early without direct consultation with an expert. The system is developed using an expert system method, where information about service disruptions is processed to generate accurate diagnoses. With this system, customers can identify the type of disruption and provide clearer information to Telkom technicians. The research findings indicate that the most common disruptions are caused by faulty adapters or modems and disconnected configurations, with a density value of 54.49%. This system is expected to improve Telkom’s public service quality, minimize customer complaints, and expedite the repair process for Indihome services.
 

This study aims to design and develop an automatic attendance system using Radio Frequency Identification (RFID) technology and an ESP32 CAM. The system is designed to improve efficiency and accuracy in recording student attendance in academic environments. When a student's RFID card is scanned, the system automatically identifies the student and captures an image through the ESP32 CAM as additional proof of attendance. Attendance data and captured images are stored in a database that is connected in real-time via the Internet of Things (IoT). The results of the testing show that this system is able to perform the attendance process quickly and accurately, providing convenience for administrators in managing and monitoring attendance data digitally.

Durian is one of the leading fruit commodities with high economic value in various tropical regions, including Indonesia. However, the durian cultivation process often faces challenges related to unstable environmental conditions, such as temperature fluctuations, soil moisture, and nutritional deficiencies which can affect the level of plant fertility and the quality of the fruit produced. Therefore, an effective and efficient monitoring system is needed to optimize durian plant care. This research aims to develop a fertility monitoring system for durian trees using Internet of Things (IoT) technology which can help farmers manage the environmental conditions of plants in real-time. The designed system uses various sensors, such as soil moisture sensors, air temperature and humidity sensors, light intensity sensors, and soil nutrient sensors, to collect relevant environmental data. The data obtained from these sensors is then processed by a microcontroller and sent via the IoT network to a cloud-based storage platform. The trial results show that this system can monitor environmental conditions with high accuracy and provide appropriate maintenance recommendations, thereby increasing efficiency in managing durian plants.

The Communication, Informatics, and Statistics Agency (DISKOMINFOTIK) of Bengkalis is a government institution focused on information and statistics. One of the media used for information dissemination is the DISKOMINFOTIK Bengkalis website. The website of the Communication, Informatics, and Statistics Agency of Bengkalis District offers several information options such as the agency profile, work units, public information, agendas, announcements, contact details of DISKOMINFOTIK Bengkalis, as well as news published by DISKOMINFOTIK Bengkalis. Therefore, the DISKOMINFOTIK Bengkalis website is considered a significant medium for both the agency itself and the public. Hence, software quality becomes an important consideration as it directly affects the website's performance. For this reason, testing needs to be conducted on the DISKOMINFOTIK Bengkalis website. This research addresses 11 factors in McCall, namely Correctness, Reliability, Usability, Integrity, Efficiency, Reusability, Portability, Interoperability, Maintainability, Flexibility, and Testability. Testing is done in two ways: with testing tools and with questionnaires submitted to users and system developers. The results of testing conducted with questionnaires yield quality scores of Correctness 77,66%, Reliability 77,8%, Efficiency 79,01%, Integrity 77,31%, Usability 77,67%, Portability 77,31%, Maintainability 90%, Testability 90%, Flexibility 93,3%, Reusability 95%, Interoperability 90%, so the average quality is 84%.

The decline in water quality is a serious environmental issue, particularly in urban areas. This research aims to develop an Internet of Things (IoT)-based water quality monitoring system using ESP32, pH, TDS, and turbidity sensors. The system is designed to monitor water quality parameters in real-time and transmit data to a cloud platform for further analysis. The system prototype was tested with water samples from various sources, and the results demonstrated high accuracy, with a maximum deviation of ±0.5% compared to laboratory results. Thus, this system offers an efficient and easy-to-implement solution for continuous water quality monitoring, which can aid in water resource management in urban environments.

In the era of information technology advancement, web applications have become a means of seeking information. However, with technological progress, they have become increasingly vulnerable to cyber attacks such as SQL Injection and Cross-Site Scripting (XSS). This research aims to implement the Teler-waf Web Application Firewall (WAF) to protect web applications from such attacks. The research methodology includes the implementation of the Teler-waf WAF, analysis of web application security, and testing the speed of attack detection. The results show that Teler-waf is effective in preventing attacks, and its integration with Telegram bots provides real-time notifications to system administrators, enhancing security responsiveness. This research contributes to strengthening web application security and understanding the role of the Teler-waf WAF in addressing cyber threats.

Nasal hypertrophy is a swelling that occurs in the nasal concha. This condition is caused because the inferior concha has a larger anatomical size when compared to the other concha structures. The process of diagnosing nasal hypertrophy often requires high clinical skills and experience. RSU Putri Bidadari is one of the hospitals that treats Nasal Hypertrophy disease in patients. Nose hypertrophy disease has several symptoms that are felt which are usually caused by several factors such as exposure to certain allergens, chronic sinus infections, or a family history of similar nasal problems, so several diagnostic tests are needed that can confirm the diagnosis, such as nasal endoscopy to see directly the condition inside the nose, medical imaging such as CT scan or MRI to evaluate the structure of the nose in more detail, or allergy tests to identify the causative allergen. From the above problems, patients really need a system that becomes a recommendation in helping provide information about nasal hypertrophy disease that can diagnose early and take further action to prevent nasal hypertrophy disease. By using the certainty factor method, information from the steps above can be systematically analyzed to determine the level of confidence in the diagnosis of nasal hypertrophy. These factors can be assessed based on severity, presence of typical symptoms, correlation with risk factors, and results of physical examination and diagnostic tests. Based on the results of the CF calculation, the highest value is in the type of nasal hypertrophy disease with the type of Septal Deviation disease having a value of 1 or 100%, in the type of Rhinitis disease having a value of 94.24% and in the type of sinusitis disease having a value of 85.60%. From the results obtained, the system identifies that the patient has nasal hypertrophy with Septal Deviation type by 100%.
 

Marketplace system is a means of meeting sellers and buyers online, in this case service providers and car renters. With this information system, renters no longer need to bother looking for the required car that matches the criteria, and service providers are also easier in marketing and expanding their marketing reach. This system was built using the RAD (Rapid Application Development) method of development which allows customers to place orders, select vehicles, eliminating complexity in the traditional process involving visits to rentals. In car rental services there are several problems that need to be resolved. First, there is no web-based information system service that makes it easy for customers to access car rental service company information. Second, conventional services are still fairly slow. Currently, reservations are made in two ways, namely coming to the place or contacting the telephone number on Whatsapp so that prospective tenants have to wait for a response from the rental provider to get information about prices and available cars. Therefore, a car rental information system is needed that specifically serves fleet rental with online booking to display transaction information in the form of car rental and return on the system dashboard to support strategic purposes. This research focuses on building a car rental information system using the PHP programming language with the CodeIgniter framework.
 

The application "Android-Based World State Flag Recognition" aims to provide users with information about the flags of countries around the world. The app is designed with a great interface and uses image recognition technology to identify flags. Users can explore flags, get brief historical information, and improve their knowledge of the visual aspects of the country's identity. The app uses up-to-date online resources to ensure the accuracy and relevance of flag information. The search feature allows users to quickly find the flag of a particular country. In addition, the app provides an exam mode to test the user's knowledge with a short quiz about flags. With the integration of Android technology, users can access this application easily on various mobile devices. The main goal is to provide an interactive and fun learning experience around the visual identity of the countries of the world.

The Indonesian government has implemented various programs to improve public welfare; however, social assistance often misses its target, primarily due to a lack of accurate data. Sirapit Subdistrict, as a government institution, has access to important population data for policy development, particularly in the distribution of aid based on community welfare levels. Factors such as education, age, number of dependents, and income play a significant role in determining an individual's welfare. To address this issue, this study proposes the use of the Apriori method to analyze the factors affecting population welfare. The Apriori method is a data mining algorithm useful for discovering association patterns within a dataset. The study results show that with a support value of 3% and a confidence level of 100%, a pattern was found where residents with a high school education, 1-2 dependents, aged 35-45 years, earning Rp 500,000 - Rp 999,999, and with a low welfare level tend to work as laborers. These findings are expected to serve as a foundation for formulating more targeted policies to improve community welfare in Sirapit Subdistrict.

The effectiveness of snort rules in detecting network attacks is still a question that needs further research. Although snort rules have been developed and updated regularly, network attacks also continue to evolve and may have patterns that have not been detected by existing snort rules. The main objective is to develop and analyze the effectiveness of snort rules in detecting attack patterns on the network. Benefits Provides a better understanding of the effectiveness of snort rules in detecting network attacks. The result of this research is that the development of snort rules that have been carried out is able to filter attack patterns that were previously undetectable such as DDoS attacks and is able to provide telegram notifications.

Waste is a waste product of human activities that continues to increase along with the increase in population, activities, and consumption levels. In Bengkalis Sub-district, Bengkalis Regency, there are many waste accumulation points that have not been handled properly, mainly due to the lack of information about the location of waste accumulation. This causes the Bengkalis Regency Environment and Hygiene Agency (DLHK) to have difficulties in managing waste transportation, even though it is carried out every day. There are still many complaints from people who are outside the waste collection point. To overcome this problem, this research aims to develop a mobile application-based garbage pile complaint application focused on the Bengkalis District area. This application is designed to assist DLHK in monitoring environmental cleanliness more effectively. The Analytical Hierarchy Process (AHP) method is used to determine the priority of handling waste complaints, which will be implemented in a web platform to ensure optimal handling. Application development uses a prototype approach to ensure that the resulting application is in accordance with user needs and expectations. With this application, it is hoped that waste management in Bengkalis Regency will become more efficient and responsive to community complaints.
 
 

Organizational performance includes various indicators such as productivity, work quality, efficiency, and innovation. Challenges often arise in the performance evaluation process when not supported by an adequate system. Additionally, facilitators play a crucial role in achieving goals, but poor selection of facilitators can lead to problems like lack of participation, poor time management, and inability to resolve conflicts, negatively impacting productivity and decision quality. This study aims to develop a support system that improves performance evaluation and facilitator roles at BBPPMPV-BBL Medan. The system is expected to simplify performance evaluation, enhance resource management effectiveness, and assist facilitators in carrying out their tasks optimally. The research findings indicate that this support system provides more accurate, structured, and effective performance evaluation, while enhancing facilitators' ability to maintain focus, manage time, and resolve conflicts. Implementing this system at BBPPMPV-BBL Medan contributes to increased productivity, efficiency, and performance quality, and enables proper recognition of high-performing individuals or teams.

In appearance, hair is an important aspect. In this modern era, hairstyles are becoming more and more varied. So, a lot of teenage men have trouble determining a suitable hairstyle. One factor in determining hairstyles is the shape of their faces. Often, teenagers don't match the haircut they've chosen. It can make you feel less confident and feel less in terms of appearance. Because it requires a system to recognize the shape of the face and determine the appropriate hairstyle. The most common method of grouping is the CNN method. In this study, the recommended hairstyles of male hair models and facial shapes detected are Oval, Box, Long Square, and Round. This study has accuracy with an average presentation of 85%.

Technology is developing so quickly that it may have a significant impact on the way teaching and learning are done. Interactive multimedia-based learning materials play an important role in the teaching and learning process. The availability of educational media can make teaching easier for teachers and increase students' learning motivation. This research focuses on designing multimedia-based interactive learning media for introducing marine animals. Researchers found the problem that the learning process at TK BA Aisyiyah Grogol 2 still uses the lecture method and does not use technology. This causes students' interest in learning to decrease. The method applied in designing this learning media is the ADDIE method. The result of this research is an interactive learning media design that uses multimedia. It is hoped that this learning media can increase students' interest in learning and the learning process will become easier and more effective.

Technology is currently developing at a very fast pace. The teaching and learning process in the field of education is greatly impacted by the ever-improving technology advancements. In order to spark students' interest in studying, a lot of schools and teachers are currently utilizing technology tools like interactive learning media. In order to increase students' enthusiasm in learning, teachers' inventiveness is equally crucial. Learning media is a crucial component that may draw students in and aid in their pursuit of the best possible learning outcomes. Engaging media helps pupils comprehend the lessons that are being taught. Therefore, the goal of creating interactive learning materials to present the solar system to pupils is to enable them to view the actual things rather than only envision them.

Skin cancer has high incidence and fatality rates, making accurate and rapid detection crucial. This study developed a web-based skin cancer detection system using YOLOv8. The model detects seven types of skin cancer using a dataset of 17.366 annotated images. Methods included data collection, pre-processing, augmentation, model training, and performance evaluation using precision, recall, and mean Average Precision (mAP). Results show that the YOLOv8 model achieved a precision of 0.975 and a recall of 0.969. Evaluation with a confusion matrix demonstrated strong detection capabilities. A web interface was developed to allow users to upload images and view detection results in real-time. The YOLOv8-based skin cancer detection system provides accurate results and can be used as a tool for early diagnosis.
 
 

Employee recruitment is a critical aspect of human resource management that significantly influences the success and sustainability of a company. Communion Coffee Brewer, a company in the food and beverage industry, faces challenges in effectively recruiting employees to ensure alignment with company needs and culture. To address this, the implementation of Decision Support System (DSS) using the SMART Methodology proves to be a relevant solution. This method allows for objective evaluation based on predefined criteria while streamlining the decision-making process. By integrating this technology, Communion Coffee Brewer can enhance efficiency and effectiveness in recruitment, support sustainable company growth, and strengthen its long-term operations.
 

This research designs a system to classify apple leaf diseases using RGB (red, green and blue) color feature extraction. The essence of this research is to design a system to recognize and determine disease on apple leaves based on RGB color features using the Matlab 2024 application. The data in this research uses apple leaf images from kaggle.com, which are then cropped and adjusted to the image shape and precision in the leaf image. , Increasing the contrast of the cropped image and converting it to a grayscale image, Determining the threshold for binarization and converting the grayscale image to a binary image, Detection of green, yellow, and black/gray pixels based on RGB values ??and calculating the proportion of each color, Detection of pixels scab by filtering out black/grey pixels that do not include green or yellow pixels Classification of leaves based on the proportion of detected colors.
With the method that has been passed and uses apple leaf data, namely Healthy, Rust and Scab, each data contains 20 images with a total of 60 images and the level of accuracy is determined using the labeling method for each data and reaches the final result with an accuracy level of 86, 6667% which has a fairly accurate meaning
 

Web-based LPG gas sales system using E-KTP is an application designed to facilitate the process of selling LPG gas online by using E-KTP as a user identity verification tool. This system was built with the aim of increasing efficiency and security in the LPG gas sales transaction process. This system utilizes web technology to allow users to sell LPG gas online through a platform accessed through a web browser. Users will be required to upload a photo of their E-KTP as part of the identity verification process. After identity verification, users can place an order for LPG gas according to their needs. The system is also equipped with an LPG gas stock management feature, so that sellers can monitor their LPG gas stock in real-time and procure new LPG gas if the stock is running low. In addition, the system is also equipped with an LPG gas delivery tracking feature, so that users can track the status of their LPG gas shipments from the warehouse to the delivery location. With this web-based LPG gas sales system using E-KTP, it is expected to increase efficiency in the LPG gas sales process, as well as increase security in online transactions by using E-KTP as a means of verifying user identity.

In the era of rapid digitalization, understanding consumer behavior through data is becoming increasingly important for retail businesses. Shopping trends, such as those contained in this study, provide in-depth insights into various aspects of consumer behavior, from demographics to purchasing preferences and patterns of discount usage. This data is invaluable in formulating effective marketing strategies, improving customer experience, and optimizing business operations. The data used in this study included a variety of relevant variables, such as age, gender, location, product categories purchased, number of purchases, payment methods, and frequency of purchases. This information allows for a comprehensive analysis of how these factors affect consumer spending decisions. For example, analytics can reveal seasonal trends in purchases, product color and size preferences, and the impact of discounts and promo codes on sales volume. In addition, this dataset also reflects the changes in consumer behavior that have occurred over the past few years. Quantitative methodology is a research approach used to collect and analyze numerical data to understand patterns, relationships, and events in a given population. Data is collected from various sources such as online sales transactions, consumer surveys, Naive Bayesian algorithms are applied to the dataset that has been processed. The data was divided into two sets: training (80%) and testing (20%).
 
 

Item-based collaborative filtering is a popular technique in recommendation systems that aims to provide suggestions for films to watch or services to users based on similarities between items. In this approach, the similarity between items is calculated using metrics such as cosine similarity, allowing the prediction of user preferences for items that have never been rated. This research implements Item-based collaborative filtering using datasets from Kaggle. Experimental results show that the resulting model is able to provide recommendations with significant improvements in evaluation metrics such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) of 3.05 and 3.26. This shows that the smaller the value, the better.

The education sector must utilize the latest technology in the classroom in the era of globalization and rapid advances in information technology. Using text, graphics, audio, and video together, interactive learning materials have been proven to increase student understanding and engagement. Kindergarten (TK) is a place where children are introduced to the environment and the basic principles of learning. Introducing children to various types of transportation is believed to be very important because it is the first step in helping them broaden their horizons and become familiar with the types of transportation in their environment. Apart from that, children are very interested in and liked transportation, so it must be packaged attractively so that it can arouse their curiosity in learning.

Unemployment is a persistent problem in the labor market, thus hampering economic development and national prosperity. Indonesia, including its capital Jakarta, continues to face significant levels of unemployment compared to neighboring countries. This research focuses on analyzing the structure of unemployment in Jakarta using K-Means Clustering to categorize unemployment data based on age groups (2020-2022) sourced from the Central Statistics Agency. Analysis carried out via RapidMiner revealed three clusters:-Cluster 0: Age 30-60 years and above, Cluster 1: Age 20-24 years, Cluster 2: Age 15-19 and 25-29 years. The findings show that the 20-24 year age group has the highest unemployment rate (399,167 people), while the 30-60 year and above age group shows the lowest unemployment rate (75,560 people). This clustering approach provides insight into the distribution of unemployment by different age demographics in Jakarta, highlighting areas where targeted interventions may be needed to effectively address this socio-economic challenge

Predicting sales is an important aspect in sales development. Sales prediction simulation is an estimated calculation of the level of product sales in a certain period. Sales of pempers tend to fluctuate due to the choice of many brands available, resulting in sales having a little difficulty in estimating sales of MAKUKU diaper products at Greens Mart stores. This research aims to predict sales Pempers products. This research uses several stages of identifying problems, determining research objectives, collecting data, data collected or obtained from interviews with salespeople, managing data using Monte Carlo stages, implementing/testing data and testing results to see the accuracy of the method used. The analysis results show that Comfit M and Comfit L have almost the same level of accuracy, namely Comfit M is around 90.63% and sales of Comfit L are 90.48%. These values ??provide an indication of the level of accuracy of the sales predictions made.
 
 
 

In Indonesia, tuberculosis is ranked third in terms of prevalence among countries with the highest tuberculosis burden. Radiological examination, such as X-rays or X-rays, is a method generally used to detect tuberculosis. Chest X-ray examination is one method used to detect tuberculosis. To achieve these goals, the research will combine two powerful data processing techniques. First, the K-Means algorithm will be used to group x-ray image data based on similar characteristics, making it easier to identify typical patterns from images infected with tuberculosis. The research results show the highest accuracy of 93% using data division with a ratio of 80 : 20 with parameter K = 1. These results show that the combined model of the two algorithms can be applied to identify tuberculosis in the lungs.
 
 

Asynchronous Transfer Mode (ATM) is a network technology designed to support high-speed data transfer by utilizing small fixed-size data packets called cells. This study aims to analyze the implementation and performance of ATM in the context of the Canva application, a web-based graphic design platform. The study includes a theoretical review of ATM's working principles, advantages, and limitations, as well as the network performance analysis methods used.In this research, we examine how ATM can optimize data transmission in the Canva application, considering the importance of network speed and efficiency in ensuring an optimal user experience. The analysis results show that ATM can provide the high transfer speeds and stability required by the Canva application, especially in managing complex and large-sized graphic data.The conclusion of this study confirms that the implementation of ATM technology in web-based applications like Canva can significantly enhance network performance. This study also offers important insights for further development in integrating advanced network technologies for internet-based applications to support increasing data demands.

Attention to spices and flavorings among the younger generation is still low. The strategy that can be used to overcome this problem is a programmed and computerized arrangement of spices and flavorings using Convolutional Neural Network (CNN) calculations. In this exploration there are 300 images of spices and flavors which will be characterized into 3 classifications. Namely ginseng, ginger and galangal. Information in each classification is divided into two, namely preparation information and testing information with a proportion of 80%: 20%. The CNN model used in computerized grouping of spice and flavor images is a model with 2 convolutional layers, where the first convolutional layer has 10 channels and the second convolutional layer has 20 channels. Each channel has a 3x3 portion frame. The channel size in the pooling layer is 3x3 and the number of neurons in the secret layer is 10. The actuation capability in the convolutional layer and secret layer is tanh, and the actuation capability in the result layer is softmax. In this model, the accuracy of preparation information is 0.9875 and the loss value is 0.0769. The precision of the test data is 0.85 and the loss value is 0.4773. Meanwhile, testing new information with 3 images for each classification resulted in an accuracy of 88.89%.

This research tests the usability of the platform on new students of Informatics Engineering. Usability of is measured through three main variables: effectiveness, efficiency, and user satisfaction. Data was collected through pre-test and post-test involving 20 respondents using questionnaires and practical tasks. 20 respondents using questionnaires and practical tasks. The results of the study showed that the effectiveness and efficiency of the Scratch platform increased significantly from the pre-test to the post-test, reaching a level of effectiveness and efficiency, showing that the time required to complete programming tasks is reduced once users are familiar with the platform. User satisfaction also increased, with the majority of respondents feeling more comfortable and interested in using Scratch after testing. This research concludes that the Scratch platform is effective and efficient as a programming learning tool for new Informatics Engineering students.
 

implemented and evaluated the edge detection method using the Sobel Operator, which calculates the gradient of image intensity through two convoluted kernels for horizontal (Gx) and vertical directions. (Gy). The magnitudo gradient is obtained from the combination of both such directional gradients to represent the edge force on each pixel. The main steps include image pre-processing, the application of the Sobel kernel, the calculation of magnitudo gradients, and the filtering of results to extract significant edges. The results show that the Sobel Operator is effective in highlighting intensity differences that indicate the boundary of the object, although it is sensitive to noise and less accurate for fine edges. Despite its limitations, this method is simple to implement and useful as an initial step in image processing applications such as segmentation, pattern identification, and object shape analysis.
 

Utilization of Artificial Intelligence-Based Paraphrasing Improves Efficiency of Student Assignment Completion in Surabaya. In this era of over-evolving technology, artificial intelligence technology (AI) has made significant contributions in various fields, including education. One potential implemantation of artificial intelligence technology is an automated AI-based online paraphrasing tool in education 4.0 era. This research aims to examine the effectiveness of using AI-based online paraphrasing in improving the efficiency of student assigntment completion in Surabaya. The research metodolgy involved a survey with student from various universities in Surabaya with a descriptive approach technique. The results show that the use of AI-based online paraphrasing tools can significantlu reduce the time needed to complete assignments without reducing the quality of the content. This tools helps students to understand the material, develop writing skills, and avoid plagiarism. This research result is expected to encourage the use of digital technology in the learning process, which is expected to improve academic productivity. Thus, AI-based online paraphrasing tools can be part of a more modern and effective learning strategy.

Utilizing the System Usability Scale (SUS) method, the goal of this study is to understand the challenges faced by eduSMart users. Edusmart is an online learning platform. A survey consisting of several questions is conducted using the SUS method to improve the quality of work, efficiency, and ease of use. This study indicates that the user's SUS score indicates the use of tinggi. In the end, the platform needs to be improved to increase its capacity. The study's findings indicate how users should use the Edusmart platform and provide helpful advice for improving users' efficiency and enjoyment. The research findings can be used as a reference for future studies that assess the value of digital learning systems.

The Scrum method is a methodology included in agile software development. Scrum is considered to be able to produce good quality software according to user wishes, can be used in large and small projects, and is easy to adopt changes. The scrum activity stages include product backlog, sprint backlog, daily scrum, sprint review, and sprint retrospective. Roles in Scrum include product owner, scrum master, and development team. Scrum has structured and iterative stages, so that if the product in the first sprint is not sufficient to meet needs, then in the next sprint a system can be developed that is in accordance with user evaluation. The results obtained from Designing a Hack Incident Reporting System at Kominfo Central Lombok Using the Agile Scrum Approach were proven to be able to overcome changes in requirements during the system development phase, producing products that met the wishes of users because they received repeated reviews.