Deva Rahma Aulia
Bina Sriwijaya Institute of Technology and Business Indonesia

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Quality Analysis of a Mobile Attendance Application Using ISO/IEC 25010 and User Satisfaction Measurement Dimas Ardhana; Deva Rahma Aulia
Journal Innovation in Information and Computer Technology Vol. 2 No. 3 (2025): (September) Journal Innovation in Information and Computer Technology (JICTECH)
Publisher : PT. Altaf Publishing Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70895/jictech.v2i3.132

Abstract

The increasing use of mobile technology has encouraged many institutions and organizations to adopt mobile attendance applications as a practical solution for recording attendance activities. However, the success of such applications depends not only on their technical functionality but also on user satisfaction. This study aims to analyze the quality of a mobile attendance application using selected dimensions of ISO/IEC 25010 and user satisfaction measurement. The research employed a quantitative descriptive method by collecting data through questionnaires and direct observation. The evaluated dimensions included Functional Suitability, Performance Efficiency, Usability, Reliability, Security, and Portability, followed by overall user satisfaction assessment. The results showed that the application achieved an average score of 82.1%, categorized as Very Good. Functional Suitability obtained the highest score, indicating that the application features effectively support attendance activities. Meanwhile, Performance Efficiency and Reliability received relatively lower scores, suggesting the need for further improvement in system speed and stability. User satisfaction was also rated highly, demonstrating positive acceptance of the application among users. The findings confirm that combining ISO/IEC 25010 with user satisfaction measurement provides a comprehensive evaluation approach that captures both technical quality and user experience. This study may serve as a reference for developers and institutions in improving the effectiveness and acceptance of mobile attendance systems.
Development of an AI-Assisted Learning Media for Basic Programming Courses Using a Web-Based Platform Deva Rahma Aulia; Amelia Anggraini
Journal Innovation in Information and Computer Technology Vol. 2 No. 3 (2025): (September) Journal Innovation in Information and Computer Technology (JICTECH)
Publisher : PT. Altaf Publishing Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70895/jictech.v2i3.134

Abstract

Basic Programming is one of the fundamental courses in computer science education, yet many beginner students experience difficulties in understanding programming concepts due to limited feedback, lack of personalized guidance, and challenges in debugging code. Conventional learning methods often rely on lectures and static learning materials, which are often insufficient to support interactive and adaptive learning processes. This study aims to develop an AI-Assisted Learning Media for Basic Programming Courses using a web-based platform integrated with a Large Language Model (LLM) and supporting machine learning techniques. The research employed a Research and Development (R&D) approach using the Waterfall model, including requirement analysis, system design, implementation, testing, and evaluation stages. The developed system integrates programming materials, coding exercises, intelligent tutoring support, debugging assistance, and learning progress monitoring into a single platform. The results show that the LLM-based tutoring model achieved better performance than the XGBoost model, with an accuracy of 0.91, precision of 0.89, recall of 0.90, and F1-score of 0.89. These findings indicate that AI-assisted learning media can improve programming education by providing adaptive learning support, real-time tutoring, and effective feedback for beginner students.