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All Journal Jurnal Media Infotama Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Jurnal Deformasi Proceeding of the Electrical Engineering Computer Science and Informatics Indonesian Journal of Business Intelligence (IJUBI) INTEGRITAS : Jurnal Pengabdian KLIK: Kajian Ilmiah Informatika dan Komputer PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Jurnal Dehasen Untuk Negeri Jurnal Inovasi Komputer Jurnal Kajian Ilmu dan Teknologi (JKIT) INTECH - Informatika Dan Teknologi Journal of Nexural Intelligence
Abdul Rahman
Program Studi Informatika, Fakultas Teknik Dan Komputer, Universitas Baturaja
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Transportation Other

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Learning Analytics-Based Student Engagement Profiling Using Moodle Activity Logs Across Multiple Courses Abdul Rahman; Abdul Karim; Destiarini
Journal of Nexural Intelligence Vol. 1 No. 1 (2026): Journal of Nexural Intelligence
Publisher : Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/nexural.v1.i1.259

Abstract

Learning management systems generate detailed event logs, yet these data are often underused for monitoring student engagement. This study develops a learning analytics workflow for profiling engagement from Moodle activity logs collected from 20 courses. The raw dataset contained 402,290 records recorded between 19 February 2025 and 2 June 2025. After removing administrative, reporting, and system-maintenance events, 369,592 learner-generated events from 760 users were analyzed. The method consisted of timestamp parsing, course mapping, anonymization, event-category mapping, feature engineering, engagement scoring, and K-Means clustering. Eight behavioral indicators were constructed, including total events, active days, course views, module views, quiz activity, assignment activity, resource access, and event diversity. The results show that quiz-related interactions dominated the logs, followed by system course views and assignment activities. Three engagement profiles were identified: low, moderate, and high engagement. The proposed workflow provides an interpretable basis for course monitoring and early identification of learners who may require academic support, while avoiding unsupported claims about academic achievement when final-grade data are unavailable.
Perancangan Sistem Informasi Akademik pada Universitas XYZ dengan Unified Modeling Language (UML) Nurul Fajriyah; Wawan Setiawan; Abdul Rahman
Jurnal Inovasi Komputer Vol 2 No 3 (2026): Jurnal Inovasi Komputer (INOKOM)
Publisher : Rumah Jurnal PT Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/inokom.v2i3.331

Abstract

Analysis and design of software is an important stage in the process of developing information systems. Through the analysis and design process, user requirements can be identified more clearly so that the developed software can run according to the expected objectives. This study discusses the implementation of ADPL in the development of Academic Information Systems using Unified Modeling Language (UML) as a system design tool. The Academic Information System is designed to assist in managing student data, lecturer data, lecture schedules, grade processing, and delivering academic information more effectively and efficiently. The methods used in this study include system requirements analysis, use case diagram design, activity diagram, class diagram, and sequence diagram. In addition, database design was also carried out to support the data storage process in the system. The results of the study indicate that the implementation of analysis and design of software can help the software development process become more structured, improve the efficiency of academic data management, and make it easier for developers to understand system requirements before the implementation process is carried out.
Co-Authors Abdul Karim Achmad Azhari Achmad Azhari Afriantamtomi Afriantamtomi Afriantamtomi Afriantamtomi Agung Darmawan Anggraeni Agustin Muris Anton Maulana Ibrahim Aryanto, Sodiq Asruddin Asruddin Azhari Azhari Azwar Azwar Dandi Leo Saputra Daniel Kurniawan Dapiokta, Jum Dari Andika Deri Darmawan, Agung Desti Agustina DESTI ARINI Destiarini Destiarini Destiarini Destiarini Destiarini Destiarini, Destiarini Destriarini Destriarini Destriarini Destriarini Diajeng Putri Sekar Mayasari Dicky Prasetio Eka Rizki Meiwinda Eka Rizki Mewinda Endang Sri Handayani Erich Erich Erma Julia Citra Fahrizal Fasyaria Amanda Ferry Desromi Fria Fahlewi Friska Suryani Marpaung Gita Agnesa Handes Triwi Bowo Imam Syaifudin Imam Syaifudin Jefri Kusuma Rambe Joko Kuswanto Ketut Sumartayasa Lindawati, Lindawati Lucyana, Lucyana M Rezy Mana Junita MARDIAH KENAMON Mohammad Syafrullah Muhammad Ocka Dharma Putra Mutiarawan, Rezza Anugrah Novi Puspita Sari Nurul Fajriyah Ocka Dharma Putra Pujianto Pujianto Pujianto Pujianto Pujianto Qosim, Arief Raflie Yahya Praja putra Ravi Masitah Reski Ovi Yuniar Rezza Anugrah Mutiarawan Rianto, Yan Rini Efrianti Safaruddin Safaruddin Safaruddin Safaruddin Safarudin Safarudin Sari, Enda Kartika Satria Mulvinazir Ashari Silvia Apriani Sukini Sukini Suzanna, Suzanna Utomo Budiyanto Vina Anjelia Vina Anjelia Wawan Setiawan Wawan Setiawan Yan Rianto Yuliantini Eka Putri Yunita Yunita