Penerapan Algoritma K-Means Clustering dalam Mengelompokkan Jumlah Posyandu Aktif Berdasarkan Provinsi

Abstract

Posyandu (Integrated Service Post) is one form of Community-based Health Efforts (UKBM) carried out with the community, to empower and provide facilities to the community to obtain health services for mothers, infants and toddlers. The Posyandu program is an effort to reduce the impact of the economic crisis on reducing the nutritional status of maternal and child health. This study discusses the grouping of the number of active posyandu based on provinces in Indonesia. The method used in the research is Data mining with the K-Means Clustering algorithm. By using this method the data obtained can be grouped into several clusters. This study uses secondary data, namely data obtained from intermediary media recorded on the website of the Indonesian Ministry of Health with the url address https://www.depkes.go.id/. The results obtained in this study are grouping the number of active posyandu grouped into 2 clusters, the highest cluster and the lowest cluster. There are 3 provinces included in the highest cluster and there are 31 provinces included in the lowest cluster. From the results of this study, it will be found that the provinces that get the lowest cluster in the number of active posyandu in Indonesia, It is hoped that this research can provide input to the relevant government, to pay more attention to the provinces in Indonesia which have the lowest cluster to activate the posyandu program in the province. Because posyandu is very important for children's health. If the child has never done a posyandu then he or she will not receive nutritional intake according to the child's needs.