IMPLEMENTASI ALGORITMA CLUSTERING DBSCAN UNTUK MENENTUKAN STATUS GIZI BALITA

  • Ayu Sari Nurlatifah Alumni Program Studi Informatika Fakultas Teknik
  • Martaleli Bettiza
  • Ferdi Chahyadi
Keywords: Nutrition, Toddler, Kemenkes, Clustering, DBSCAN

Abstract

Kepulauan Riau Province, especially Batam City still has a case of Malnutrition which will have an impact on human resources (HR). Malnutrition Data in 2017 in Batam City rise by 3% to 4.4% according to the results of National Nutrition Status Monitoring (PSG)in 2017. Based on the standards set by the Indonesian Ministry of Health, there are three categories in determining the nutritional status of children under five, namely Weight by Age (BB /U), Height by Age (TB /U) and Weight by Height (BB/TBt) with input values for age, gender, weight and height. The test uses DBSCAN Clustering Algorithm method with input age, weight and height using a comparison of three categories namely Weight by Age (BB/U), Height by Weight (TB/U) and Weight by Height (BB/TB). The test results obtained indicate the highest accuracy value is in the category of Body Weight bay High (BB/TB) with an accuracy value of 52%..

Published
2020-11-23
Section
Teknik Informatika