Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)

Analysis of Stunting Spread in Mentawai Islands Regency Using K-Means Clustering Method

Authors
Andrew Kurniawan Vadreas1, *, Gybran Nauval Yuhandika1, Harfebi Fryonanda1, Muhammad Irvandi Lubis1, Ulya Ilhami Arsyah1, Dwi Welly Sukma Nirad1
1Information Technology Department, Politeknik Negeri Padang, Padang, Indonesia
*Corresponding author. Email: andrew@pnp.ac.id
Corresponding Author
Andrew Kurniawan Vadreas
Available Online 17 February 2024.
DOI
10.2991/978-94-6463-364-1_93How to use a DOI?
Keywords
GIS; k-means; mapping; Mentawai Islands; stunting
Abstract

This research addresses the critical issue of child health and nutrition in the Mentawai Islands Regency, particularly stunting. Given the limited understanding among parents, the local Community Health Center (Puskesmas) has taken the initiative to conduct stunting mapping in the Mentawai Islands. The objective is to employ a decision support system utilizing the Clustering K-Means method, incorporating assessment criteria encompassing nutritional factors, poverty indicators, and educational aspects. This study aims to enhance parental comprehension, facilitate targeted healthcare interventions, and mitigate stunting prevalence. It leverages the K- Means clustering method to analyze and forecast future trends in stunting within the Mentawai Islands. Furthermore, it employs a Geographic Information System (GIS) to map the distribution of stunted children. As a result, it pinpoints priority zones for stunting intervention, visually represented through digital mapping. This study provides a digital map of priority areas for stunting intervention in the Mentawai Islands, aiding information technology professionals in effectively addressing stunting in children based on established priority levels.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
Series
Advances in Engineering Research
Publication Date
17 February 2024
ISBN
10.2991/978-94-6463-364-1_93
ISSN
2352-5401
DOI
10.2991/978-94-6463-364-1_93How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Andrew Kurniawan Vadreas
AU  - Gybran Nauval Yuhandika
AU  - Harfebi Fryonanda
AU  - Muhammad Irvandi Lubis
AU  - Ulya Ilhami Arsyah
AU  - Dwi Welly Sukma Nirad
PY  - 2024
DA  - 2024/02/17
TI  - Analysis of Stunting Spread in Mentawai Islands Regency Using K-Means Clustering Method
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
PB  - Atlantis Press
SP  - 1015
EP  - 1031
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-364-1_93
DO  - 10.2991/978-94-6463-364-1_93
ID  - Vadreas2024
ER  -