Geographic Information System Mapping and Management of Child with the Highest Nutritional Potential in Prabumulih City Using K-Means Clustering Method
Leni Novianti, Robinson Robinson, Ienda Meiriska, Resti Atika Sari · Atlantis highlights in engineering/Atlantis Highlights in Engineering · 2022
Malnutrition is one of the diseases that Indonesia is worried about, not only a burden on the state, but also a burden on the family.Of course this is also a concern of the local government, including Prabumulih City.Based on a report from the family health and community nutrition section at the Prabumulih City Health Office, in 2019 the number of cases of malnutrition in children under five reached 1%.And to maximize health monitoring in toddlers so that they are not potentially bad, clustering is carried out using the K-Means algorithm which aims to provide information for the parties involved in decision making.The system development method used is eXtreme Programming (XP).The data used is a recap of data on toddlers with bad potential from 2018 -2020.This study resulted in clusters (groups) of bad disaster distribution areas with a level of C1 for areas with high nutritional potential, C2 for areas with moderate nutrition levels.potential, for C3 for areas of low potential malnutrition.