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All Journal Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya BASASTRA Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan ELT-Lectura Kelasa : Kelebat masalah bahasa dan sastra International Journal of Forensic Linguistic Media Pustakawan Widyaparwa
Frans Asisi Datang
Fakultas Ilmu Pengetahuan Budaya, Universitas Indonesia
Humanities Education Languange, Linguistic, Communication & Media Library & Information Science

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Journal : Media Pustakawan

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Tren Penelitian Sejarah Lisan dan Dokumentasi di Indonesia: Analisis Bibliometrik di SCOPUS (2013-2023) Sofia Nur Aisyah; 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.v30i3.4966

Abstract

This research discusses research trends on the topic of oral history and documentation in Indonesia. The focus of the discussion is (1) how much relevant research is related to the topic of discussion of oral history and documentation; (2) what are the research trends in oral history and documentation; and (3) what are the implications for research on similar topics in the future and the implications for research in Indonesia. This research uses a bibliometric analysis method by taking data from the SCOPUS database with search filters related to the topic of oral history and documentation for the last ten years, or 2013–2023. Then it was analyzed further using VOSviewer to see the network and density of research on similar topics. The results show that the highest number of publications related to the topic of oral history and documentation is in 2022, with 21 publications; the country with the most contribution is the United States with 46 publications; the field of social sciences is the subject with the largest contribution of 37.9%; and the most common documents were articles at 58.3%. Seeing from the network and density analysis that the topic of oral history and documentation is related to other keywords and has the opportunity to be further researched is also an interesting discussion.
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 Ayu Fitriawati Desty Wulandari Diah Lutfiani Fajar Erikha Fandi Rahman Hidayat Muhammad Prabu Wibowo Muhammad Prabu Wibowo Mukhammad Isnaeni Multamia RMT Lauder Nadia Izzatunnisa Netiasa Adab Njaju Jenny Malik Malik Salim, Tamara Adriani Sofia Nur Aisyah Sonya Ayu Kumala Sri Munawarah Sri Munawarah Tamara Adrian Salim Triwinarti, Wiwin Winci Firdaus Wuri Syaputri