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All Journal Jurnal Pendidikan Vokasi Jurnal IUS (Kajian Hukum dan Keadilan) JPM (Jurnal Pemberdayaan Masyarakat) Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Al-Syir'ah Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Potret Pemikiran Jurnal Ilmiah Manusia dan Kesehatan Journal of Applied Science, Engineering, Technology, and Education Seminar Nasional Pengabdian Kepada Masyarakat The Journal of Society Medicine (JSOCMED) Journal of Gurutta Education Seminar Nasional Hasil Penelitian LP2M UNM Al-Qalam: Jurnal Kajian Islam Dan Pendidikan Journal of Community Services and Engagement: Voice of Community (VOC)
Muhammad Akil, Muhammad
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Educational Datafication in Smart Attendance Systems: A Bibliometric and Science Mapping Analysis Purnamawati, Purnamawati; Nuridayanti, Nuridayanti; Akil, Muhammad; Iskandar, Akbar; Pratama, Muh Riyaldi
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4805

Abstract

Smart attendance systems have evolved from routine administrative tools into data-driven mechanisms for monitoring, prediction, and institutional decision-making in education. However, limited attention has been given to how this transformation is understood from educational, ethical, and socio-technical perspectives. This study aims to examine the development of smart attendance system research using a bibliometric and science mapping approach. A dataset of 108 Scopus-indexed journal articles published between 2016 and 2025 was analyzed using VOSviewer and Biblioshiny. The findings reveal a clear shift from RFID-based and manual verification systems toward artificial intelligence-driven approaches, including facial recognition, deep learning, computer vision, and predictive analytics. Despite these technological advancements, the literature remains predominantly technocentric, with major emphasis on system efficiency, authentication, and automation, while issues related to privacy, consent, fairness, and surveillance receive limited attention. This study identifies an “ethical silence” in the field and suggests that attendance is increasingly redefined as a machine-verifiable construct rather than a pedagogical expression of engagement. Future research should integrate data ethics, learning analytics, and student agency to support more balanced educational practices.
Co-Authors Abdul Muis Mappalotteng Abdullah, Nuraeni Ahmad Risal Akbar Iskandar Amelia, Putri Andi Alamsyah Rivai Andi Baso Kaswar Andi Baso Kaswar Andi Darmawangsa Ardi Ardi Asmiyati, Asmiyati Aulia Sabril Azhar, Muh Bastian Lubis Bunyamin, Andi Darmawangsa, Andi Edy Sabara Faisal Najamuddin Faisal Najamuddin Hasibuddin, M. Hasibuddin, Muhammad Hastia Khairunnisa Khairunnisa Labusab Lubis, Bastian Mahmud Mustafa Mukhlisin Mukhlisin Mustamin Mustamin Mustapa, Mahmud Nengsih, Ratika Nur, Hasanah Nuridayanti, Nuridayanti Parli, Gita Savitri Hi Pratama, Muh Riyaldi Purnamawati Purnamawati Subeitan, Syahrul Mubarak suhaeb, Sutarsi Surani Susfita, Mira Syafar , Faisal Syahid, Akhmad Tjandi, Yunus Ummiati Rahmah Viandy, Vincent WH George, Yohanes Winata, Ade Zubir, Zubir