Relevance of Stunting and Economic Studies (Supported With Stunting Mapping Using K-means Clustering Method in Indonesia)

Abstract

This study aims to determine the relationship between stunting and economic studies and to map stunting-prone areas to find out which areas require priority for stunting management in Indonesia. This research is a quantitative descriptive study with literature review and clustering methods using k-means clustering which is visualized through a map using ArcGIS software. Secondary data collection was obtained from previous journals and stunting prevalence data for 34 provinces in Indonesia was obtained from the Nutrition Status Monitoring 2017 book, Basic Health Research 2018, Study on Nutritional Status of Indonesian Toddlers 2019. The results of the study show that children who experience stunting in the future will lose their potential income due to their low production performance and ultimately increase poverty rates, economic inequality, and state economic losses. The results of the stunting clustering were divided into 4 clusters. Cluster I shows that the provinces with the highest average stunting prevalence are Aceh, East Nusa Tenggara, West Nusa Tenggara, Central Kalimantan, and West Sulawesi. Cluster II consists of the provinces of North Sumatra, West Kalimantan, South Kalimantan, Central Sulawesi, South Sulawesi, Southeast Sulawesi, Gorontalo, Maluku, and Papua. Cluster III consists of the provinces of West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, West Java, Central Java, East Java, Banten, East Kalimantan, North Kalimantan, North Sulawesi, North Maluku, and West Papua. Cluster IV consist of the provinces of the Bangka Belitung Islands, Riau Islands, Jakarta, Yogyakarta, and Bali.