Nurul Syafitri
Universitas Bengkulu

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JAPRI STUDI BIBLIOMETRIK PENELITIAN ARTIFICIAL INTELLIGENCE DI PERPUSTAKAAN PERGURUAN TINGGI: DATA SCOPUS TAHUN 2020–2025: BIBLIOMETRIC STUDY OF ARTIFICIAL INTELLIGENCE RESEARCH IN ACADEMIC LIBRARIES: SCOPUS DATA 2020–2025 Araf Aliwijaya; Indah Media Yulyanti; Yonna Apgeta; Nurul Syafitri
Jurnal Perpustakaan dan Informasi Vol. 8 No. 1 (2026): JAPRI: JURNAL PERPUSTAKAAN DAN INFORMASI
Publisher : UPT Perpustakaan Universitas Bengkulu

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Abstract

This study aims to analyze the development of research on artificial intelligence (AI) in academic libraries using a bibliometric approach. Bibliographic data were collected from the Scopus database covering publications from 2020 to 2025. The analysis focused on publication trends, productive authors, leading publishers, and keyword co-occurrence to identify major research themes. The results indicate a significant increase in publications, particularly after 2023, highlighting the growing interest in AI applications such as machine learning, digital libraries, recommender systems, and information retrieval. The findings show that AI has become an essential component in enhancing library services, improving access to information, and supporting academic users. This study provides insights into research patterns and offers references for academic libraries in developing innovative AI-based services.