Data Analysis of E-Journal Usage in UPM Library with K-Means Clustering Method

Susi Rachmadhani Sugiyarto; Rahmi Rahmi

doi:10.47709/cnahpc.v7i2.5850

Authors

Susi Rachmadhani Sugiyarto Universitas Indonesia
Rahmi Rahmi Universitas Indonesia

DOI:

https://doi.org/10.47709/cnahpc.v7i2.5850

Keywords:

E-Journal, K-Means, Efficiency, Clustering, Evaluation

Abstract

This study aims to evaluate the usage patterns of Emerald and WileyOnline Library e-journals from January to December 2023. By employing the K-Means clustering method, the data were classified to analyze usage characteristics and efficiency. The clustering results indicate that journals in clusters C1 and C2 have higher relevance compared to those in C3, based on download and access numbers. Evaluation using three metrics—average cost per e-journal, average cost per access, and appropriate content usage—revealed that e-journal usage at the UPM library is not yet efficient, with high average costs per access and content usage needing improvement. This study recommends strategies to enhance the efficiency of e-journal usage to better support academic activities and research at UPM.

Downloads

Download data is not yet available.

References

Affiat, R. A. (2016, Maret). Perpustakaan Harvard sebagai contoh kemajuan universitas berbasis riset dan bertaraf internasional: Sebuah refleksi bagi UI. http://152.118.24.150/files/Rizki_Amalia_Affiat.pdf

Altbach, P. (2015). The costs and benefits of world-class universities. International Higher Education, (33). http://ejournals.bc.edu/ojs/index.php/ihe/article/viewFile/7381/6578

Arianto, S. (2012). Modul instalasi EPrint 3 pada Ubuntu (Matakuliah Perpustakaan Digital). Prodi Ilmu Perpustakaan, Fakultas Adab dan Ilmu Budaya, UIN Sunan Kalijaga.

Azra, A. (2006, April 20). World class university. Republika.

Dewi, M. (2019). Analisis statistik keterpakaian database online ScienceDirect (Januari–Juni 2018) dalam mengambil kebijakan pengadaan bahan pustaka elektronik pada Perpustakaan Universitas Islam Indonesia. Al-Kuttab: Jurnal Kajian Perpustakaan, Informasi dan Kearsipan, 1(1), 23–34.

Liu, Y., Zhang, X., & Fan, H. (2019). User behavior analysis in digital libraries using clustering and data visualization. Library Hi Tech, 37(4), 742–758. https://doi.org/10.1108/LHT-10-2017-0211

Maulidya, B. S. (2023). Analisis statistik penggunaan database online EBSCO dalam membuat kebijakan pengadaan bahan pustaka elektronik pada Perpustakaan ACD. Libraria: Jurnal Perpustakaan, 11(2), 323–346.

Rahman, M., & Farhana, M. (2020). User segmentation in digital library using K-means clustering algorithm: A case study. Journal of Information Science Theory and Practice, 8(2), 25–38. https://doi.org/10.1633/JISTAP.2020.8.2.3

Sawitry, N. D. (2023). Pemanfaatan koleksi e-journal bidang ekonomi dan bisnis oleh civitas akademika pada Perpustakaan Fakultas Ekonomi dan Bisnis (FEB) UIN Syarif Hidayatullah Jakarta [Skripsi, UIN Syarif Hidayatullah Jakarta].

Septiani, N., Anwar, S., & Herdiana, R. (2023). Penerapan algoritma K-means clustering untuk harga rumah. Trending: Jurnal Ekonomi, Akuntansi dan Manajemen, 1(2), 35–47.

Setiawan, R., & Yulianingsih, W. (2021). Analisis penggunaan sumber daya elektronik di perpustakaan perguruan tinggi: Studi kasus pada perguruan tinggi swasta di Jakarta. Jurnal Ilmu Perpustakaan dan Informasi, 6(1), 45–58.

Tenopir, C., King, D. W., Edwards, S., & Wu, L. (2022). Use and users of electronic library resources: An overview and analysis of recent research studies. Council on Library and Information Resources.

Zamroni, Z. (2016, Maret 7). Wawancara oleh Mubasyaroh [Wawancara]. Sekolah Tinggi Agama Islam Kudus.