Perkembangan Penelitian Penggunaan Artificial Intelligence di Perpustakaan Berbasis Data Scopus

This study aims to analyze the development of AI use in libraries with bibliometric methods based on Scopus data. The study uses bibliometric analysis methods. Data were collected from the Scopus database using the keywords (Artificial intelligence OR AI) AND (Library" OR Libraries)) AND (Limit-To ( Subjec Area, "Soci" ) ) AND ( Limit-To ( Language , "English" ) ) AND ( Limit-To ( Doc Type , "ar" ) ). The data were analyzed using the R-biblioshiny and VOSviewer tools. The results of the study show that the trend of research on the use of artificial intelligence in libraries has increased significantly since 2020. The most widely used keywords in research on the use of artificial intelligence in libraries are artificial intelligence, machine learning academic libraries, libraries, ChatGPT, AI, library services, natural language processing, education information literacy and chatbots. The most productive main journals are Library Hi Tech News, Journal of Chemical Information and Modeling, Journal of Academic Librarianship, Library Hi Tech, Library Philosophy and Practice, and Electronic Library. The latest trending topics are AI literacy, electronic data interchange, intelligent libraries, library technologies, robotics in libraries, smart services, chatbots, ChatGPT, humanoid robot, large language models, library maching, library operations, library technology, openrefine, user experience, and research support. The results of this study can help libraries understand the direction of AI technology development to improve services.

Authors

Institutions

Publication Details

Journal
Media Pustakawan
Published
2024-12-31
DOI
https://doi.org/10.37014/medpus.v31i3.5316
Citations
1
Primary Topic
Edcuational Technology Systems
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perkembangan Penelitian Penggunaan Artificial Intelligence di Perpustakaan Berbasis Data Scopus

Tupan Tupan
1 citations
Media Pustakawan
Edcuational Technology Systems
0.35
article

Perkembangan Penelitian Penggunaan Artificial Intelligence di Perpustakaan Berbasis Data Scopus

Tupan Tupan
article en
1 citations

Abstract

This study aims to analyze the development of AI use in libraries with bibliometric methods based on Scopus data. The study uses bibliometric analysis methods. Data were collected from the Scopus database using the keywords (Artificial intelligence OR AI) AND (Library" OR Libraries)) AND (Limit-To ( Subjec Area, "Soci" ) ) AND ( Limit-To ( Language , "English" ) ) AND ( Limit-To ( Doc Type , "ar" ) ). The data were analyzed using the R-biblioshiny and VOSviewer tools. The results of the study show that the trend of research on the use of artificial intelligence in libraries has increased significantly since 2020. The most widely used keywords in research on the use of artificial intelligence in libraries are artificial intelligence, machine learning academic libraries, libraries, ChatGPT, AI, library services, natural language processing, education information literacy and chatbots. The most productive main journals are Library Hi Tech News, Journal of Chemical Information and Modeling, Journal of Academic Librarianship, Library Hi Tech, Library Philosophy and Practice, and Electronic Library. The latest trending topics are AI literacy, electronic data interchange, intelligent libraries, library technologies, robotics in libraries, smart services, chatbots, ChatGPT, humanoid robot, large language models, library maching, library operations, library technology, openrefine, user experience, and research support. The results of this study can help libraries understand the direction of AI technology development to improve services.

Media PustakawanVol. 31(3)
National Research and Innovation Agency (ID)
Openalex Percentile: Top 30%
Edcuational Technology Systems
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.