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Muhammad Prabu Wibowo
Universitas Indonesia
Library & Information Science

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Trend Penelitian terkait Digital Preservasi Naskah Kuno : A Bibliometric Analysis on SCOPUS (2012-2022) Fandi Rahman Hidayat; Tamara Adriani Salim; Frans Asisi Datang; Muhammad Prabu Wibowo
Media Pustakawan Vol. 30 No. 3 (2023): Desember
Publisher : Perpustakaan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37014/medpus.v30i3.4975

Abstract

Bibliometric analysis is a quantitative method for analyzing data in existing databases at journal publishers. This method is used to find out how much a particular topic has been researched and discussed by researchers in the field concerned. This method is to find out current research trends and what types of research are still lacking and need to be explored more deeply for future needs regarding digital preservation of ancient library manuscripts. The data presented comes from existing analysis drawn from the SCOPUS Journal database and then the data is also processed through the VOSviewer application. In the research trends regarding digital preservation that exist in this modern era, it is considered important to know the trends and directions of research related to this issue, especially as we currently live in a fast-paced modern world. This is also because we are in the digital era and digital preservation has become an important topic to discuss in recent years. Various kinds of challenges and opportunities are very interesting to discuss regarding the research topic of digital preservation of manuscripts in libraries.
Struktur Intelektual Penelitian Organisasi Pengetahuan dan Artificial Intelligence : Analisis Bibliometrik pada Database Scopus Tahun 1977-2023 Abi Rafdi Ramadhan; Tamara Adrian Salim; Frans Asisi Datang; Muhammad Prabu Wibowo
Media Pustakawan Vol. 30 No. 3 (2023): Desember
Publisher : Perpustakaan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37014/medpus.v30i3.4984

Abstract

Abstract The objective of this study is to identify the most contributing journal articles to the research on knowledge organization and artificial intelligence, as well as to comprehend the development of research in knowledge organization and artificial intelligence from 1977 to 2023 using bibliometric methods. The analysis employed citation analysis and co-word analysis applied to the Scopus database. The findings revealed 136 documents related to knowledge organization and artificial intelligence. Out of the 9 most influential documents, 3 studies stood out with significantly higher citation counts compared to others, surpassing 150 citations. The research identified three clusters as the focal points. The first cluster emphasized keywords such as knowledge representation, semantics, and ontology, while the second cluster centered on keywords like knowledge-based systems, expert systems, and decision making.
Co-Authors Abi Rafdi Ramadhan Fandi Rahman Hidayat Frans Asisi Datang Salim, Tamara Adriani Tamara Adrian Salim