Pengelompokkan Tingkat Kesejahteraan dan Tekanan Psikologis Mahasiswa Menggunakan Mental Health Inventory-38 dengan Algoritma K-Medoids
- Muhammad Abdan Syakura Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
-
Elvia Budianita
*
Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru,
Indonesia
- Okfalisa Oktafalisa Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
- Fitri Insani Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
- Yuli Widiningsih Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia (*) Corresponding Author
Abstract
Mental health among university students is an increasingly critical issue, particularly in academic environments characterized by high levels of pressure and demands. This study aims to cluster mental health patterns of students at the Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau, from the 2022–2025 cohort, using the K-Medoids algorithm based on the Mental Health Inventory-38 (MHI-38) instrument, which has been modified and validated. Data were collected through an online questionnaire distributed to students, yielding 522 valid records from 559 total respondents following the data cleaning process. Each response was transformed into numerical values based on Favorable and Unfavorable categories using a five-point Likert scale. The K-Medoids algorithm was applied to form clusters, with the number of clusters tested ranging from K=2 to K=10. Clustering quality was evaluated using two metrics, namely the Silhouette Coefficient and the Davies-Bouldin Index (DBI). The results indicate that the optimal number of clusters is K=2, with a Silhouette Coefficient value of 0.2308 and a DBI value of 1.9926. Cluster 0 comprises 280 students categorized as having psychological well-being, while Cluster 1 comprises 242 students categorized as experiencing psychological distress. The findings of this study are expected to serve as a reference for the university in designing more targeted mental health support programs for students.
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Copyright (c) 2026 Muhammad Abdan Syakura, Elvia Budianita, Okfalisa Oktafalisa, Fitri Insani, Yuli Widiningsih
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