Proceedings of the 5th FIRST T1 T2 2021 International Conference (FIRST-T1-T2 2021)

Geographic Information System Mapping and Management of Child with the Highest Nutritional Potential in Prabumulih City Using K-Means Clustering Method

(Case Study: Prabumulih City Health Office)

Authors
Leni Novianti1, *, Robinson Robinson1, Ienda Meiriska1, Resti Atika Sari1
1Study Program of Informatics Management, State Polytechnic of Sriwijaya
*Corresponding author. Email: leninovianti16@gmail.com
Corresponding Author
Leni Novianti
Available Online 14 February 2022.
DOI
10.2991/ahe.k.220205.065How to use a DOI?
Keywords
Malnutrition; Clustering; k-means; eXtreme Programming
Abstract

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.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 5th FIRST T1 T2 2021 International Conference (FIRST-T1-T2 2021)
Series
Atlantis Highlights in Engineering
Publication Date
14 February 2022
ISBN
978-94-6239-535-0
ISSN
2589-4943
DOI
10.2991/ahe.k.220205.065How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Leni Novianti
AU  - Robinson Robinson
AU  - Ienda Meiriska
AU  - Resti Atika Sari
PY  - 2022
DA  - 2022/02/14
TI  - Geographic Information System Mapping and Management of Child with the Highest Nutritional Potential in Prabumulih City Using K-Means Clustering Method
BT  - Proceedings of the 5th FIRST T1 T2 2021 International Conference (FIRST-T1-T2 2021)
PB  - Atlantis Press
SP  - 369
EP  - 374
SN  - 2589-4943
UR  - https://doi.org/10.2991/ahe.k.220205.065
DO  - 10.2991/ahe.k.220205.065
ID  - Novianti2022
ER  -