DOI: https://doi.org/10.14710/lenpust.v11i2.74771

Prediction of Student Participation in the Library of the University of Muhammadiyah Malang Based on Social Media Activities Using Decision Tree

*Melati Purba Bestari orcid  -  Information and Library Science, Faculty of Social and Political Sciences, Universitas Airlangga, Indonesia
Imam Yuadi  -  Information and Library Science, Faculty of Social and Political Sciences, Universitas Airlangga, Indonesia
Received: 20 Jun 2025; Revised: 2 Oct 2025; Accepted: 20 Oct 2025; Published: 19 Nov 2025.

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Abstract

Background: Social media has become an effective tool in promoting library services. This study uses the Decision Tree algorithm to predict student participation in the University of Muhammadiyah Malang library based on their social media activities.

Objective: The data used included features such as the type of social media (Instagram, TikTok, YouTube, Twitter), the frequency of visits to the library, and the level of social media engagement.

Methods: The decision tree model is processed using Orange Data Mining, which results in a clear separation between participation and non-participation based on a combination of these features.

Results: The study results show that social media, especially Instagram and TikTok, significantly influence student participation in the library. The accuracy of the obtained model is about 76.7%, indicating that decision trees are an effective method for predicting library participation.

Conclusion: This research provides valuable insights for designing strategies to increase library student engagement based on social media analysis

 

 

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Keywords: Student participation; social media; instagram; TikTok; decision tree; machine learning

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  2. Amaliah, E., & Sumarno. (2021). Intensifikasi Penggunaan Media Sosial untuk Mewujudkan Perpustakaan Modern Di Era Digital. Jurnal El-Pustaka, 2(1). https://doi.org/10.23887/XXXXXX-XX-0000-00
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  4. Beay, R., & Sarimole, F. M. (2024). Application of Decision Tree Method for Sales Prediction at PT. Cipta Naga Semesta (Mayora Group) North Jakarta for 2023. International Journal Software Engineering and Computer Science (IJSECS), 4(3), 943–952. https://doi.org/10.35870/ijsecs.v4i3.2999
  5. Castells, M. (2010). The rise of the network society (2nc ed.). Wiley-Blackwell
  6. Dari, S. W., & Zulaikha, S. R. (2023). Pengaruh Promosi Perpustakaan melalui Media Sosial Instagram terhadap Minat Kunjung Pemustaka di Perpustakaan Universitas Mercu Buana Yogyakarta. Al-Kuttab: Jurnal Kajian Perpustakaan, Informasi Dan Kearsipan, 5(1)
  7. Gunter, W., Davis, P., & Hamil, S. (2019). Social Media Engagement and Library Participation: A Quantitative Analysis. Library Analytics Review, 31(4)
  8. Harsana, L. (2009). Kamus Kepustakawanan Indonesia. Pustaka Book Publisher
  9. Johnston, K. M., & Lee, L. (2019). The impact of social media on student engagement in library services. Journal of Library & Information Science, 45(2)
  10. Kusumawardani, H. H., Rosyadi, I., Artanto, F. A., Arzha, F. I., & Rachmayani, N. A. R. (2022). Analisis Decision Tree dalam Pengaruh Digital Marketing terhadap Penerimaan Siswa Baru. Remik: Riset Dan E-Jurnal Manajemen Informatika Kompute, 6(2)
  11. Mardiani, E., Rahmansyah, N., & Ningsih, S. (2023). Komparasi Metode Knn, Naive Bayes, Decision Tree, Ensemble, Linear Regression Terhadap Analisis Performa Pelajar Sma. INNOVATIVE: Journal Of Social Science Research, 3(2)
  12. Mendonça, Y. V. S., Naranjo, P. G. V., & Pinto, D. C. (2022). The Role of Technology in the Learning Process: A Decision Tree-Based Model Using Machine Learning. Emerging Science Journal, 6(Special Issue), 280–295. https://doi.org/10.28991/ESJ-2022-SIED-020
  13. Okolo, E. S. (2020). Marketing the Library and It Services with the Use of Social Media: An Overview. Information and Knowledge Management, 10(2). https://doi.org/10.7176/ikm/10-2-04
  14. Parihar, M., & Amte, S. (2024). Marketing of Library Services Through Social Media. GAP Bodhi Taru a Global Journal of Humanities, 7(1). https://www.gapbodhitaru.org/
  15. Ritonga, A. R., Dalimunthe, M. A., Veronica, A., Ginting, D. C. U., & Nur’aini. (2022). The Effectiveness of Social Media As A Promotional Medium Of The University Of Sumatera Utara (USU) Library The Effectiveness of Social Media As A Promotional Medium Of The University Of Sumatera Utara (USU) Library. TALENTA Conference Series: Local Wisdom, Social, and Arts . https://doi.org/10.32734/lwsa.v6i3.1763
  16. Rosa, K., & Storey, T. (2016). American libraries in 2016: Creating their future by connecting, collaborating and building community. Sage Journals, 42(2)
  17. Roshini, T., Sireesha, P. V., Parasa, D., & Bano, S. (2019, September 28). Social media survey using decision tree and naive Bayes classification. Proceedings of the 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT 2019)
  18. Rubin, R. E., & Rubin, R. G. (2020). Foundations of Library and Information Science (5th ed.). American Library Association
  19. Smith, A., Jenkins, M., & Young, R. (2018). Social media and university student engagement: A study of Instagram and Twitter. Social Media Studies, 22(1)
  20. Subono, N. I. (2017). Dari Adat ke Politik : Transformasi Gerakan Sosial di Amerika Latin. Marjin Kiri
  21. Susilowati, G. A. (2019). Pengaruh Sosial Media Dalam Membentuk Persepsi Pemuda Terhadap Partisipasi Politik. Ikon --Jurnal Ilmiah Ilmu Komunikasi, 23(1)
  22. Tan, J. M., & Walker, J. L. (2020). Using machine learning for predicting library participation in higher education: A case study of decision trees. Library Analytics Review, 31(4)
  23. Utomo, T. P. (2022). OPTIMALISASI MEDIA SOSIAL UNTUK PEMASARAN PERPUSTAKAAN PERGURUAN TINGGI. Buletin Perpustakaan Universitas Islam Indonesia, 5(1), 99–133
  24. Vovk, N., & Malesa, R. (2024). Assessing the users’ awareness level: social media and university libraries in the context of modern educational environment. SCIA-2024: 3rd International Workshop on Social Communication and Information Activity in Digital Humanities

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