Title: Modeling the Prevalence of Stunting in Toddlers in Aceh Province with a Geographically Weighted Regression Approach
Authors: Muhammad Rizal Anggriawan, Suliyanto, M. Fariz Fadillah Mardianto, Sediono
Volume: 8
Issue: 12
Pages: 63-71
Publication Date: 2024/12/28
Abstract:
Stunting is a chronic health problem in toddlers that is a major concern in achieving the Sustainable Development Goals (SDGs) in 2030. Aceh province has a high prevalence of stunting, reaching 31.2% in 2022, which is well above the safe limit set by WHO. This study aims to model the prevalence of stunting in Aceh Province using the Geographically Weighted Regression (GWR) approach using predictor variables such as the percentage of babies with Low Birth Weight (BBLR), the percentage of malnourished children under five, the percentage of households with proper sanitation access, and the percentage of the poor population. The data used is secondary data in 2022 from all districts/cities in Aceh. The results show that the GWR model is more accurate than multiple linear regression in modeling the prevalence of stunting with a determination coefficient of 89.17%. GWR analysis revealed that the factors affecting stunting prevalence varied between regions. Significant variables include the percentage of malnourished toddlers, the percentage of babies with BBLR, access to proper sanitation, and poverty rates. These findings underscore the importance of a spatial approach in understanding stunting determinants and providing more targeted information for the development of public health intervention strategies in Aceh.