Clustering Districts/Cities In Southeast Sulawesi Province Using Fuzzy C-Means Based On Infectious Disease Cases

I Kadek Aryandra Puja Karna (Halu Oleo University)
Gusti Ngurah Adhi Wibawa (Halu Oleo University)
Muhammad Ihwal (Halu Oleo University)

Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam
Vol. 14 No. 2 (2025): Volume 14 Nomor 2 (September 2025)

This study aims to classify the regencies and cities in Southeast Sulawesi Province based on infectious disease cases. The data were obtained from the Southeast Sulawesi Provincial Health Office. The Fuzzy C-Means (FCM )method was applied because it allows each data point to belong to multiple clusters with varying degrees of membership, making it suitable for health data that often exhibit uncertainty and overlapping characteristics. The analysis results show that the regions in Southeast Sulawesi can be grouped into five clusters based on the level of infectious disease cases. Each cluster represents a different level of disease prevalence, which can serve as a foundation for developing more effective and targeted public health policy strategies.