Toman, Sarah Husain
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Mapping the Potential of Prospective New Students Utilizing K-Means and Fuzzy C-Means Clustering Fathoni, Ahmad; Zuliarso, Eri; Toman, Sarah Husain
International Journal of Social Learning (IJSL) Vol. 6 No. 1 (2025): December
Publisher : Indonesian Journal Publisher in cooperation with Indonesian Social Studies Association (APRIPSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijsl.v6i1.481

Abstract

UIN Walisongo Semarang has implemented outreach initiatives to engage prospective students, but these endeavors often lack data-inforamed approaches. This research intends to analyze the potential of incoming students through K-Means and Fuzzy C-Means (FCM) clustering techniques. The dataset comprises admission information ranging from 2022 to 2024, concentrating on five essential factors: gender, admission pathway, study program, school type, and geographic origin. Data preprocessing was carried out before performing clustering analysis. The Elbow Method and Silhouette Score were utilized to identify the optimal K for K-Means, whereas the Fuzzy Partition Coefficient and Xie-Beni Index were applied for FCM. Findings indicate that K-Means generated more distinct cluster boundaries, while FCM provided adaptability with overlapping clusters. Principal Component Analysis and the Davies-Bouldin Index aided in the assessment. The mapping results are displayed by faculty, showcasing regional patterns and student demographics. This research establishes a data-driven basis for UIN Walisongo's strategic recruitment and admissions strategies.