Web-Based Attendance Information System At Diskominfosantik Bekasi District With Prototype Method

The rapid development of information technology has encouraged government agencies to utilize digital systems to improve operational efficiency and effectiveness, including in managing employee attendance data. This study aims to design and implement a Web-Based Attendance Information System at the Department of Communication, Informatics, Statistics, and Encryption (Diskominfosantik) of Bekasi Regency. The system was developed using the prototype method, allowing for a gradual design process involving users directly in evaluation and development. The main features of the system include login authentication for administrators and employees, barcode scanning for attendance validation, GPS data integration to verify attendance locations, digital leave requests, and real-time attendance data management and reporting. System testing was conducted using the black box testing method across various scenarios to ensure all functions operated as expected without errors. The system design is also supported by use case and class diagrams that illustrate the workflow and relationships between entities in the system. The results of the study indicate that the web-based attendance information system can improve recording accuracy, accelerate the attendance data recap process, and support transparency in personnel management. Thus, the system has the potential to serve as a model for other government agencies in digitizing employee attendance processes

Design of an Arduino Based Automatic Sealing Machine with DS18B20 Sensor for Smart Temperature Control

Sealing quality is a critical concern for Micro, Small, and Medium Enterprises (MSMEs) that rely on conventional machines lacking temperature control mechanisms. These systems often result in overheating or poor bonding, especially when applied to thin plastic materials such as polyethylene (PE), polypropylene (PP), and oriented polypropylene (OPP), each with varying melting points. This research aims to design an Arduino Uno-based automatic horizontal sealing machine integrated with a DS18B20 temperature sensor to provide smart temperature control during the sealing process. The proposed system employs a threshold-based ON-OFF control algorithm with a hysteresis margin of ±2.5°C, and displays real-time thermal feedback on a 16x2 LCD. The experimental methodology includes temperature deviation analysis and quality scoring of sealing results across PE, PP, and OPP films. Results show that the manual system deviated up to 15.4°C from the target temperature, leading to inconsistent outcomes. In contrast, the Arduino-based system maintained thermal stability within ±5°C and achieved a significant increase in sealing quality score from 60 to 92. These improvements indicate enhanced operational reliability, safety, and sealing consistency. The system provides a low-cost, scalable solution for MSMEs and can be upgraded to include PID control, IoT integration, or adaptive thermal profiling. This work demonstrates that embedded microcontroller-based automation is feasible and effective for small-scale packaging application

Evaluation of the Use of Web-Based Library Management System at I Gusti Bagus Sugriwa State Hindu University Denpasar

Libraries as the heart of higher education play a vital role in supporting the Tri Dharma, particularly in academic and research development. The advancement of information technology demands innovation in library services, one of which is the adoption of Web-Based Library Management Systems (WLMS). This study, entitled Evaluation of the Use of Web-Based Library Management System at I Gusti Bagus Sugriwa State Hindu University, Denpasar, aims to evaluate the effectiveness, challenges, and strategic significance of WLMS implementation using the Technology Acceptance Model (TAM) and the Technology–Organization–Environment (TOE) framework. A sequential explanatory design was applied, combining quantitative surveys and qualitative interviews with 39 respondents consisting of librarians, lecturers, and students. Quantitative findings indicate very good results in perceived usefulness (PU), attitude toward use (ATU), behavioral intention (BI), and actual use (AU), while perceived ease of use (PEOU) scored in the “good” category. TOE-based analysis reveals supporting factors such as infrastructure availability, leadership commitment, and system accessibility, while inhibiting factors include unstable internet, data security concerns, insufficient training, and low digital literacy among users. These results demonstrate that although WLMS significantly improves accessibility, efficiency, and digital literacy, its sustainability requires continuous system optimization, technical support, and human resource development. This research concludes that WLMS adoption at I Gusti Bagus Sugriwa State Hindu University is largely successful but still needs strategic interventions to ensure long-term effectiveness and integration with the university’s mission of advancing Hindu knowledge and culture in the digital era

SI-Konseling For Analyzing The Effect Of Stress Levels On Students' Academic Using K-Means Algorithm

Along with the rapid development of information technology, the world of education is also developing towards the digitalization era. Therefore, the use of information technology is needed to support the progress of the world of education. At SMA Negeri 6 Pematangsiantar, students who receive counseling guidance are students who do not obey school regulations such as undisciplined behavior in learning activities and extracurricular activities. According to psychologists, there is a relationship between negative behavior and the level of stress experienced by children. Signs that a child is experiencing stress include anger, aggressive behavior, and disobedience. It could be concluded that one of the triggers for negative behavior in children at school can be caused by stress. This study was conducted to determine the effect of student stress on their academic grades. By applying Data Mining using K-Means Clustering Algorithm, students can be grouped based on stress levels and academic achievement. So that a potential relationship can be found between these variables. In addition, the use of a counseling information system can improve the implementation of counseling to be more effective and efficient. Based on the research results, by collecting 960 student samples that will be used as calculation samples, the value of cluster one (C1) is at the average academic value (sufficient) with a moderate stress level percentage and cluster two (C2) at the average academic value (good) with a low stress level percentage. So it can be concluded that the percentage of stress experienced can affect their academic value

Strategic Planning of Information Systems and Technology Using the Ward and Peppard Method at Politeknik Internasional Bali

This study aims to formulate a strategic plan for the Information System (IS) and Information Technology (IT) at Politeknik Internasional Bali with the objective of enhancing the performance of business processes. The research employs a methodology that includes Ward and Peppard analysis, SWOT analysis, PEST analysis, Porter's Five Forces analysis, and Value Chain analysis. This comprehensive approach evaluates both the external and internal environments of the company, including the SI/TI company environment. The research provides strategic recommendations for the development of IS business strategies, IT strategies, and SI/TI management at Politeknik Internasional Bali. The findings from the SWOT Matrix Analysis reveal that Politeknik Internasional Bali is situated at coordinates (0.63, 1.74), indicating a strategic emphasis on SO (Strength-Opportunity) strategies. The suggested recommendations stemming from this analysis involve the design of information systems that actively support business processes, with a priority on systems located in the Strategic quadrant. The proposed IT Business strategies recommend the design of IT infrastructure architecture based on best practice principles, encompassing elements such as Availability, Scalability, Security, Serviceability, and Manageability. In addition to these recommendations, there is a proposal for organizational structural changes within Politeknik Internasional Bali, including the establishment of a dedicated SI/TI division to reinforce SI/TI management strategies. Overall, these recommendations are geared towards enhancing the overall effectiveness and efficiency of SI/TI utilization at Politeknik Internasional Bali

Evaluation of the Quality of Academic Information Services on the FEB UNJ Website Based on the WebQual and EUCS Models

This study aims to evaluate the quality of academic information services provided through the website of the Faculty of Economics and Business, State University of Jakarta (www.feb.unj.ac.id). The research approach used was quantitative descriptive using the WebQual 4.0 model which was modified through the addition of the Eas of Use variable from the End User Computing Satisfaction (EUCS) model. A total of 124 respondents consisting of students and lecturers were involved in this study through the distribution of questionnaires. Data were analyzed using multiple linear regression with the help of SPSS. The results showed that the variables Information Quality and Interaction Quality had a significant influence on user satisfaction, while Usability and Content did not show a statistically significant partial effect. However, simultaneously, the four variables contributed 70.8% to user satisfaction. This study emphasizes the importance of accuracy, trust, and ease of access as the main factors in supporting user satisfaction with website-based academic information services. This research contributes to the development of academic information systems by offering a comprehensive evaluation framework that integrates the WebQual and EUCS models, while also emphasizing the critical roles of information accuracy, user interaction, and ease of access in enhancing user satisfaction thus providing a practical reference for improving the quality of academic websites in higher education institutions in Indonesia

Analysis of C4.5 Algorithm Performance for Predicting Student Achievement Based on Socio-Economic Status, Motivation, Discipline, and Past Achievement

Learning outcomes are changes that a person undergoes when learning. Learning outcomes can be in the form of changes in cognitive, affective, and psychomotor abilities depending on the learning objectives Student learning outcomes vary depending on each student's individual circumstances. Various factors such as family conditions, school environment, interests, motivation, and past achievements determine the success of learning outcomes. The problem occurring at SMK Negeri 4 Kota Metro is that the students come from various villages in the city. They mostly come from underprivileged families with low education levels. In addition, they are less motivated to study due to factors related to their family environment and the surrounding community. Most of the students at this school do not have good achievements in academic or non-academic fields.This research aims to predict student academic performance based on the socioeconomic status of parents, motivation, student discipline, and past achievements using data mining methods with the C.45 algorithm. For comparison, the research data was also analyzed with. The research approach used is quantitative. The subjects of this research are 606 students from the 10th grade of SMK Negeri 4 Kota Metro. The data collection techniques used were documentation and questionnaires. The research results show that the prediction analysis using decision tree has an accuracy of 98.02%, precision of 94.44%, recall of 77.27%, and AUC of 0.96

Implementation of WSN and IoT to Monitor and Control Villa Electronic Equipment in Blankspot Areas

Maintaining a remote villa in a blank spot area presents challenges in ensuring optimal environmental conditions without the direct presence of the owner. This study aims to develop an Internet of Things (IoT)-based Wireless Sensor Network (WSN) system using the XBee S2C module with the Zigbee remote monitoring and control protocol. This system utilizes temperature, humidity, lighting, and water level sensors connected to electronic device controls such as lights, fans, and water pumps. Sensor Nodes are placed in the villa to collect data, while Coordinator Nodes are located in areas with internet access to upload data to the Thingspeak platform. Data is visualized through an interactive web interface that allows for remote control up to 1.03 km. The test results show a data transmission success rate of 100% with an average control response time of 6.5 and 9 seconds. This system offers the best solution for managing a villa in a blank spot area, making it easy for owners to monitor and control electronic equipment in real-time. This research contributes to developing WSN and IoT technologies, especially for applications in remote areas with website platform

Multiscale Facial Detection using RetinaFace Architecture with Loss Function

Facial recognition technology has become increasingly prevalent in modern applications, from security systems to social media platforms. However, one of the most significant challenges in this field remains the accurate detection of faces across varying scales, orientations, and image qualities. Traditional face detection methods often struggle when faces appear at different sizes within the same image or when dealing with low-resolution imagery, leading to inconsistent performance that can compromise system reliability. The RetinaFace architecture emerges as a promising solution to address these multiscale detection challenges. By incorporating a Feature Pyramid Network (FPN), the system creates a hierarchical representation of features that enables effective detection of faces regardless of their size in the image. The FPN combines low-resolution, semantically strong features with high-resolution, semantically weak features, creating a robust feature pyramid that simultaneously captures facial characteristics at multiple scales. Context modules within RetinaFace further enhance detection capabilities by providing additional contextual information that helps distinguish faces from background noise and other objects. This comprehensive approach allows the system to maintain high accuracy even in challenging scenarios where faces appear small, partially occluded, or at unusual angles. The comparative analysis between ArcFace and SphereFace loss functions reveals important insights into optimization strategies for facial recognition systems. The experimental results on the WIDERFACE dataset demonstrate exceptional performance, with the RetinaFace-ResNet152-SphereFace combination achieving 94% accuracy. These findings highlight the importance of architectural choices and loss function selection in developing robust facial recognition systems capable of handling real-world deployment challenge

Expert System Based on K-Nearest Neighbor for Oil Palm Fertilizer Application Optimization

This study aims to develop an expert system utilizing the K-Nearest Neighbor (KNN) algorithm to recommend suitable fertilizers for oil palm plants based on soil conditions, climate, and plant age. A quantitative approach was employed, involving literature review, data collection, model development, and evaluation. Data were obtained from PT. Nusantara Plantation IV Torgamba Plantation, including variables such as soil pH, dolomite, NPK, urea application, and crop yields. The KNN model was optimized with a K-value of 6 and evaluated using metrics including accuracy (63.63%), precision, recall, F1-score, Mean Absolute Error (MAE: 1995.38), and Mean Squared Error (MSE: 5,257,254.73). The system demonstrates the ability to provide fertilizer recommendations by identifying similarities in historical data, though further accuracy improvements are possible. The practical implications of this research include assisting farmers in optimizing fertilizer selection, enhancing productivity, and minimizing environmental impact. Future studies could explore the integration of additional variables or alternative algorithms such as Decision Tree or Naive Bayes to improve performance