Analisis Pengelompokan Sarana Olahraga Pedesaan Menggunakan Algoritma Fuzzy C-Means

Abstract

Sports infrastructure is a crucial component that supports community physical activities, improves public health, and contributes to the development of national sports achievements. This study utilizes data from the 2024 Village Potential Statistics (PODES). The dataset includes seven types of sports facilities and one supporting variable. The facilities examined in this study consist of soccer
fields, volleyball courts, badminton courts, basketball courts, tennis courts, futsal courts, swimming pools, and one additional supporting variable. The purpose of this study is to classify provinces in Indonesia based on the availability of village sports infrastructure using the Fuzzy C-Means method. The quality of the clustering results was evaluated using the Silhouette Coefficient, which produced an average value of 0.70043. This result indicates that the clusters formed exhibit a high degree of
within-cluster homogeneity and clear separation between clusters. Therefore, the clustering results can be categorized as having high quality and meeting statistical acceptance criteria.