Pengaplikasian Analisis Cluster K-Means dalam Pengelompokan Kabupaten/Kota di Jawa Barat Berdasarkan Sarana Kesehatan

Abstract

The availability of adequate and equitable health facilities is one of the important indicators in assessing the quality of the health system in a region. This study aims to cluster districts/cities in West Java based on the availability of health facilities using K-Means cluster analysis. Secondary data on health facilities in 2020-2021 from the Central Bureau of Statistics was used with variables on the number of hospitals, maternity hospitals, polyclinics, health centers, auxiliary health centers, and pharmacies in 27 districts/cities. After descriptive analysis, the clustering process is carried out by determining the number of clusters, the initial centroid point, calculating the distance of each data to the centroid, grouping the data into the nearest cluster, and updating the centroid until the condition converges. The results showed that three optimal and stable clusters were formed after two iterations. The first cluster consists of 5 districts/cities with high availability of health facilities, namely Bogor, Bandung, Karawang, Bekasi, and Bandung City. The second cluster consists of 7 districts/municipalities with medium availability, namely Sukabumi, Cianjur, Garut, Tasikmalaya, Ciamis, Cirebon, and Indramayu. The third cluster consists of 15 districts/municipalities with low availability of health facilities. This clustering provides a comprehensive picture of the patterns and disparities in the availability of health facilities in West Java that can be utilized to improve the quality of health services.