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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Efisiensi : Kajian Ilmu Administrasi JPTK: Jurnal Pendidikan Teknologi dan Kejuruan INOTEKS : Jurnal Inovasi Ilmu Pengetahuan, Teknologi, dan Seni Dinamika Pendidikan Jurnal Inovasi Teknologi Pendidikan Record and Library Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Al Ishlah Jurnal Pendidikan Kwangsan: Jurnal Teknologi Pendidikan Khazanah: Jurnal Pengembangan Kearsipan JUDIKA (JURNAL PENDIDIKAN UNSIKA) Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Abdi Masyarakat Indonesia Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Ilmu Terapan Universitas Jambi INCOME: Indonesian Journal of Community Service and Engagement Dinamika Pendidikan
Yuliansah Yuliansah
Universitas Negeri Yogyakarta
Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Mapping Research Directions in AI and Records Management: A Bibliometric Study on Thematic Evolution and Strategic Trends (2001-2025) Yuliansah; Herman Setyawan; Ahmad Sukri Bin Haji Abdul Kadir
Record and Library Journal Vol. 12 No. 1 (2026): June
Publisher : D3 Perpustakaan Fakultas Vokasi Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/rlj.V12-I1.2026.257-289

Abstract

Background of the study: The emergence of Artificial Intelligence (AI) has changed the social landscape of organizations. However, despite its promised potential, its application in records management still faces significant challenges, highlighting the importance of bibliometric mapping in identifying knowledge gaps. Purpose: This study provides a comprehensive knowledge map of AI-records management integration by 1) tracing publication trends; 2) identifying key contributing authors, institutions, and countries; 3) mapping research themes and gaps; and 4) proposing future research directions. Method: A bibliometric study was conducted using R Studio and Biblioshiny. Data were collected from Scopus covering 2001–September 2025 (n = 32 2 documents) and analyzed with thematic mapping, callons density, MCA, co-citation/co-authorship network analysis, and Alluvial diagram. Findings: 1) Publication trends increased sharply from 2017 to September 2025; 2) China and the USA dominate authorship and publications; 3) key motor themes are information retrieval, machine learning and temporal analysis reveals healthcare and digital preservation as growing trends; 4) future research directions including algorithmic bias, AI integration in health records management, and AI ethics and fairness. Conclusion: This study differs from previous bibliometric studies by covering nearly 25 years of publications and interpreting the findings through the records life cycle framework. Practically, the findings can be used as a reference for practitioners and policymakers in developing more responsible AI implementation strategies in records management.
ARTIFICIAL INTELLIGENCE AND BIAS IN EDUCATION: A BIBLIOMETRIC ANALYSIS OF GLOBAL TRENDS, KNOWLEDGE STRUCTURES, AND RESEARCH GAPS Sutirman, Sutirman; Yuliansah, Yuliansah; Shalannanda, Wervyan; Hemanto, Febrika Yogie; Febrianto, Indra
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 3 (2026): Volume 10, Nomor 3, June 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i3.54424

Abstract

As AI systems increasingly govern assessment, feedback, and learning pathways in education, concerns over algorithmic bias have expanded from technical issues to governance and equity. However, limited attention has been given to how the research landscape itself frames these bias-related issues. This study addresses that gap through a bibliometric analysis of 445 Scopus-indexed publications (1975–April 2025) using Biblioshiny. The results reveal a sharp rise in publications since 2019, with research concentrated in technologically advanced countries. Dominant themes include machine learning, ethics, and medical education, while equity-oriented topics such as gender bias, vocational education, and contextual disparities remain markedly underrepresented. The growing adoption of generative AI further complicates bias dynamics by introducing opacity and amplifying dataset biases. The discussion highlights that geographical and thematic concentration suggests a narrow institutional perspective, potentially marginalizing bias concerns from lower-resource contexts and creating a disconnect between technical AI research and educational justice frameworks. The novelty of this study lies in its meta-level examination of how the research field structures bias priorities, empirically revealing thematic omissions and identifying generative AI as an amplifying factor in educational bias. Collectively, these findings provide a structural foundation for developing more transparent, accountable, and equity-driven AI practices in education.
Co-Authors Ahmad Sukri Bin Haji Abdul Kadir Aliyah A. Rasyid Amalia, Dafa Nur Ani Widayati Arum Darmawati Chesy Nuansa Saputri Deppy Anggraeni Dian Ayuningsih Dina Cahyanti Eka Ary Wibawa Eka Audina Erlinda Nurhantari Fal Sefiani Farida Afifah Hemanto, Febrika Yogie Herman Setyawan Indra Febrianto Isti Kistiananingsih Isti Kistiananingsih Joko Kumoro Kiromim Baroroh Kistiananingsih, Isti Kustitik, Kustitik Maratus Sholikhah Mardiansyah, Yoga Mar’atus Sholikah Muhyadi Muhyadi Muslikhah Dwihartanti, Muslikhah Muslikhah Muslikhah Mustofa Mustofa Nadia Sasmita Wijayanti Nenden Susilowati Niken Purnamasari NURUL HIDAYAH Oktafia, Millanda Peni Arumsari Purwanto Purwanto Qotimah, Qusnul Riana Isti Muslikhah Rosidah Rosidah Rr. Kumala Sri Wahyu Gahara S Siswanto Setiyaningsih, Heni Sholeh Wijanarko Siregar, Ilham Ramadan Pandu Setia Negara Siti Umi Khayatun Mardiyah Sudirman, Amalia Nurannisa Sumarwati, Titik Sutirman Sutirman Talitha Putri Umar Yeni Suyanto Wahyu Raharja Wahyu Rusdiyanto, Wahyu Wervyan Shalannanda Wisataone, Voettie