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Siringoringo, Andi Roi Berlian
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science

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Sistem Informasi Geografis Pemetaan Penyebaran Stunting Menggunakan Metode K-Means di kecamatan Sitiotio Siringoringo, Andi Roi Berlian; Saputra, Kana
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 1 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10570294

Abstract

One of the health issues that often arise in Indonesia is stunting. Stunting is a nutritional condition assessed based on the PB/U or TB/U index, with measurement results in the range of -2 SD to -3 SD (short/stunted) and less than -3 SD (very short/very stunted) in anthropometric-based child nutritional status assessment. The purpose of this research is to develop a Geographic Information System (GIS) using the K-Means method to identify the distribution of stunting cases in Sitiotio Sub-district. K-Means is a data clustering method that divides data into groups based on similarity, with each group being in a different location. The results of the analysis using the K-Means method to map the distribution of stunting cases in the region are as follows: Cluster 1 (Green Zone) includes the Sabulan, Buntuh Mauli, Janjimaria areas. Cluster 2 (Yellow Zone) includes the areas of Parsaoran vg, Holbung. Cluster 3 (Red Zone) includes the areas of Cinta Maju, Janjiraja, Tamba Dolok. The creation of a Geographic Information System (GIS) to map stunting cases in Sitiotio Sub-district aims to provide more efficient information in mapping, monitoring, and decision-making related to handling stunting cases.
Co-Authors Kana Saputra S