Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Vol. 1 No. 1 (2021): October 2021

Grouping of Toddlers with Malnutrition Based on Provinces in Indonesia Using K-Medoids Algorithm

Sri Anita Siallagan (STIKOM Tunas Bangsa Pematangsiantar, North Sumatra)
M. Safii (AMIK Tunas Bangsa Pematangsiantar, North Sumatra)



Article Info

Publish Date
14 Oct 2021

Abstract

Malnutrition is a poor health condition in infants and toddlers caused by a lack of nutritional intake. Babies and toddlers who suffer from malnutrition will experience conditions of slowness in development, slowness in thinking, underweight and so on. Malnutrition can be prevented by complete immunization from birth, providing good nutrition for their development, and so on. The purpose of this study was to determine the results of the grouping of provinces with the highest malnutrition sufferers using the K-Medoids method which is part of Data Mining. The K-Medoids method is a clustering method that can break the dataset into several groups. In this study, the data used were sourced from the Central Statistics Agency in 2016 – 2018. The results of this clustering will later show the province which is the toddler with the highest malnutrition. This research is expected to provide information for the government regarding the grouping of children under five with malnutrition in Indonesia.

Copyrights © 2021






Journal Info

Abbrev

JAIEA

Publisher

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering

Description

The Journal of Artificial Intelligence and Engineering Applications (JAIEA) is a peer-reviewed journal. The JAIEA welcomes papers on broad aspects of Artificial Intelligence and Engineering which is an always hot topic to study, but not limited to, cognition and AI applications, engineering ...