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All Journal Record and Library Journal Jurnal IPI (Ikatan Pustakawan Indonesia)
Arumdini, Savira
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Library & Information Science

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Exploring topics of the female librarians: Topic modelling approach on research articles Arumdini, Savira; Ariani, Ria; Santosa, Faizhal Arif
Record and Library Journal Vol. 10 No. 1 (2024): June
Publisher : D3 Perpustakaan Fakultas Vokasi Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/rlj.V10-I1.2024.164-179

Abstract

Background of the study: Female librarians often face limitations in their professional development and encounter various challenges. Previous studies have shown that while many articles focus on women librarians as a subject, few delve into the topics discussed. Purpose: This research aims to find out which topics are developing in the world of libraries, with a specific focus on female librarians. Method: This study uses topic modelling to explore abstracts from documents discussing female librarians, using BERTopic, scattertext, and VOSviewer to identify emerging topics from data obtained from Scopus. Findings: A total of 6 topics were determined, where Topic 0 and Topic 3 had the highest similarity. At the same time, keyword analysis did not reveal any particularly prominent keywords in the 2020s. Conclusion: The discussion on female librarians covers topics such as professional advancement, work-life balance, knowledge gaps in technology, stereotypes, and the correlation between these topics. This study provides an overview of text analysis that librarians can use to identify topics in a collection of texts, such as abstracts, and examine how different topics relate to each other, as a single document can reflect multiple topics.
Pemetaan Pengetahuan Pustakawan Terhadap Layanan Pendukung Riset Santosa, Faizhal Arif; Arumdini, Savira; Widuri, Noorika Retno
Jurnal IPI (Ikatan Pustakawan Indonesia) Vol. 8 No. 1 (2023): Mei
Publisher : Ikatan Pustakawan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jurnal ipi.v8i1.147

Abstract

In the environment of special libraries, the library service ecosystem is developing very rapidly as one of the research supports. The competence of the librarian also follows the development of the ecosystem needed. After the merging of National Research and Innovation Agency (BRIN), a review of the knowledge and skills possessed by librarians within the BRIN is needed to support functions and tasks. This study aims to map the librarian's knowledge ability to research support services, especially in information discovery and bibliometric services using the x-means algorithm. Using questionnaire data that was distributed to 85 BRIN librarians and library staff. The questionnaire is divided into two (2) parts, namely information discovery services and bibliometric services. The statement uses a numerical scale of 0 to 10, where 0 means incapable or not understand a concept and 10 has the meaning of being very capable of understanding a proposed concept. The x-means and k-means algorithms are used to classify librarians based on their abilities in each service using a Euclidean distance numerical measure. The results showed that the use of the x-means method for mapping the knowledge of librarians at BRIN was able to work better than k-means in the cluster range tested, both for information discovery services and bibliometric services. In total, five clusters became the most optimal cluster model in this study. In general, most BRIN librarians have the ability to provide research support services.
Co-Authors Noorika Retno Widuri Ria Ariani, Ria Santosa, Faizhal Arif