Clustering of Provinces in Indonesia based on Maternal Health Indicators
Keywords:maternal health, indicator, cluster, fuzzy-c-means.
Indonesian health issues that deserved top priority was maternal and child health because it determines the
quality of the human resources of future generations. The objective of this research is to analyze the clustering
of provinces in Indonesia based on maternal health indicators. This cross-sectional study was conducted in
34 provinces using secondary data from the Basic Health Research and Statistics Indonesia. Analysis of
provincial clustering used FUZZY C-MEANS. Analysis produces six clusters. Cluster 2 has a high mean
value of maternal health indicators that exceeded the Indonesian target, consisting of the provinces of DKI
Jakarta, DI Yogyakarta, and East Nusa Tenggara. Cluster 2 was formed by the value equation variable Age of
first mating, Ownership of maternal and child health monitoring book, Vitamin A Provision, K4, postpartum
visits, Iron supplementation tablets consumption and Childbirth delivery in health facilities. Indicators of
ownership of the maternal and child health monitoring book for pregnant women had met Indonesia target
in all clusters. Meanwhile, the active participation of family planning program indicator was still below the
Indonesia target in all clusters.
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