Jupiter
Vol 16 No 1 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)

Sistem Informasi Geografis Pemetaan Penyebaran Stunting Menggunakan Metode K-Means di kecamatan Sitiotio

Siringoringo, Andi Roi Berlian (Unknown)
Saputra, Kana (Unknown)



Article Info

Publish Date
26 Jan 2024

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.

Copyrights © 2024






Journal Info

Abbrev

jupiter

Publisher

Subject

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

Description

Tentang Jurnal Ini Fokus dan Ruang Lingkup Bidang kajian yang dapat dimuat pada jurnal Jupiter meliputi dan tidak terbatas pada: Mobile Computing Image Processing Computer Graphic Artificial Intelligence Information Retrieval Computer Vision Algorithm & Complexity Data Mining Information System ...