Proceedings of the 5th International Seminar on Science and Technology (ISST 2023)

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Modeling The Nutritional Status of Underweight and Stunting Toddler in East Java Using Multivariate Geographically Weighted Regression Method

Authors
Syahrul Romadhani1, *, Nurul Fiskia Gamayanti1, Fadjryani Fadjryani1
1Department of Statistics, Faculty of Mathematics and Natural Sciences, Tadulako University, Palu, Indonesia
*Corresponding author. Email: syahrulromadhani803@gmail.com
Corresponding Author
Syahrul Romadhani
Available Online 5 December 2024.
DOI
10.2991/978-94-6463-520-1_17How to use a DOI?
Keywords
Underweight; Stunting; Adaptive Gaussian Kernel; Multivariate Geographically Weighted Regression
Abstract

Nutritional status is an important factor that influences health status. The main nutritional problem currently facing Indonesia, especially the East Java region, is the incidence of underweight and stunting toddlers. Need to analysis what models and factors have a significant influence on the nutritional status of underweight and stunting among toddlers in East Java based on the geographical location of each district/city. The analysis process was carried out using quantitative methods, namely Multivariate Geographically Weighted Regression (MGWR) analysis method. MGWR is used to overcome the influence of spatial heterogeneity in data caused by differences in the conditions of one location and another. In the MGWR model the weighting function used is the Adaptive Gaussian Kernel. Based on the results of the analysis carried out on the MGWR model, 38 models were formed for the underweight variable which could be grouped into 11 groups, likewise for the stunting variable 12 groups were formed based on influencing factors. Factors that have a significant influence on the nutritional status of underweight and stunting among toddlers in East Java in 2022 are the percentage of access to adequate drinking water, complete immunization, poor people, low birth weight, exclusive breastfeeding and malnutrition.

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 5th International Seminar on Science and Technology (ISST 2023)
Series
Advances in Physics Research
Publication Date
5 December 2024
ISBN
978-94-6463-520-1
ISSN
2352-541X
DOI
10.2991/978-94-6463-520-1_17How 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

risenwbib
TY  - CONF
AU  - Syahrul Romadhani
AU  - Nurul Fiskia Gamayanti
AU  - Fadjryani Fadjryani
PY  - 2024
DA  - 2024/12/05
TI  - Modeling The Nutritional Status of Underweight and Stunting Toddler in East Java Using Multivariate Geographically Weighted Regression Method
BT  - Proceedings of the 5th International Seminar on Science and Technology (ISST 2023)
PB  - Atlantis Press
SP  - 110
EP  - 116
SN  - 2352-541X
UR  - https://doi.org/10.2991/978-94-6463-520-1_17
DO  - 10.2991/978-94-6463-520-1_17
ID  - Romadhani2024
ER  -