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All Journal Daluang: Journal of Library and Information Science BACA: Jurnal Dokumentasi dan Informasi
Irkhamiyati Irkhamiyati, Irkhamiyati
Perpustakaan UGM
Humanities Library & Information Science Social Sciences

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Evaluasi fungsi kemas ulang informasi berbasis kecerdasan buatan di perpustakaan perguruan tinggi Irkhamiyati, Irkhamiyati
Daluang: Journal of Library and Information Science Vol. 5 No. 1 (2025)
Publisher : UPT Perpustakaan Universitas Islam Negeri Walisongo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/daluang.v5i1.2025.25157

Abstract

Purpose. Artificial Intelligence (AI) holds great potential for repackaging information in academic libraries, particularly for historical physical collections. Each library must align its information management strategies with institutional development, as seen in the Library of Universitas 'Aisyiyah Yogyakarta (UNISA), which has evolved from a Midwifery School into a university. Two special collections in this library were evaluated to assess the effectiveness of AI-based information repackaging. This evaluation is important to ensure that resource utilization aligns with the outcomes achieved. The study aims to identify the functional value of AI-based repackaging for these collections. Methodology. This descriptive qualitative study was conducted from September to October 2024 at the UNISA Yogyakarta Library. A purposive sampling method was used to obtain in-depth interviews from three informants based on their fields of expertise. Data were collected through observation and interviews. Data analysis included needs analysis, design proposal, data reduction, data presentation, and conclusion drawing. Data validity was tested using time triangulation and confirmability techniques. Results and discussion. The results of the study show that most of the AI-based information repackaging functions at the UNISA Yogyakarta Library have fulfilled their functions. However, there is one function that has not been fulfilled, namely as a medium that accelerates the application of research or research results. Conclusions. While the majority of AI-based information repackaging functions have been successful, efforts are still needed to enhance its role in disseminating and applying research results. Strategic development, inter-unit collaboration, and stronger technology integration are recommended to optimize these services.
Pemetaan Bibliometrik dengan VOSviewer terhadap Tesis Program Studi Kebidanan Program Magister Universitas ‘Aisiyah tahun 2019-2022 Irkhamiyati, Irkhamiyati; Kurniawan, Bagas Dwiki
BACA: Jurnal Dokumentasi dan Informasi Vol. 45 No. 1 (2024): BACA: Jurnal Dokumentasi dan Informasi (Juni)
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2024.904

Abstract

Research can change according to trends, and mapping is necessary to analyze changes. This research aims to map the thesis information of the Midwifery Master's Program at 'Aisyiyah University (UNISA) Yogyakarta from 2019-2022 based on bibliometric analysis. This quantitative descriptive study relies on secondary data from the publications of master's theses in Midwifery at UNISA Yogyakarta from 2019 to 2022. Researchers sampled 170 thesis titles in this study, conducted at the UNISA Yogyakarta Library from December 2022 to May 2023. The research identifies the distribution of student theses, the correlation between research keywords, historical research trends based on keywords, and the density of fields in theses. This research uses VOSviewer as software to analyze the data. According to the DDC, the results show 13 clusters based on a 2-keyword limit and 23 subject groups. Co-occurrence analysis identifies 11 critical keywords. Visualization overlays show shifts in research trends from year to year, while density results highlight COVID-19, pregnancy, knowledge, and breastfeeding. Based on the above results, researchers can conclude that the most researched trends from 2019-2022 are COVID-19, pregnancy, breastfeeding, and experience. Meanwhile, research subjects that could be options for further research are hypertension in pregnancy, women's depression, adolescence, anemia, and primipara. Suggestions for further research include adding topics that have yet to be extensively studied as options for research to expand and diversify the number of themes explored.
Co-Authors Kurniawan, Bagas Dwiki Lasa HS, Lasa