Determination of Stunting Risk Factors Using Spatial Interpolation Geographically Weighted Regression Kriging in Malang

Henny Pramoedyo,Mudjiono Mudjiono,Adji Achmad Fernandes,Kurniawati Septiani,Deby Ardianti

doi:10.18196/mm.200250

Abstract

Stunting is the condition toddlers have Stunting is the condition toddlers have less length or height if compared to age. The high percentage of stunting is influenced by several factors, namely access to healthy latrines, quality drinking water, hand washing behavior with soap, coverage of posyandu access and coverage of breast milk 1-6 months, and there are indications that if an area has a high stunting percentage, then there is a possibility that the nearest area has the same condition. So, the statistic method for this research use the spatial interpolation Geographically Weighted Regression Kriging. Geographically Weighted Regression (GWR) is a weighted regression in which the weighting function is used to describe the closeness of relations between regions. The weight used is distance based weight dan weighting by area (contiguity). Ordinary kriging method calculated with semivariogram which is one function to describe and model the spatial autocorrelation between data of a variable and function as a measure of variance. The results showed that based on value GWR model with weight Fixed Gaussian Kernel better to use then the weighted GWR model Rook Contiguity. The Predicted of prevelensi stunting in the form of map based on interpolation GWR Kriging. Keywords: Stunting, GWR, and Kriging.

Highlights

Stunting is a condition where toddlers have less length or height if compared to age.[1]
The stunting problem is a major nutritional problem faced by Indonesia
Geographically Weighted Regression (GWR) modeling is done by inserting a weighting with method weighted least square

Summary

Introduction

Stunting is a condition where toddlers have less length or height if compared to age.[1] A toddler stunting including chronic nutritional problems caused by various factors such as social-economy condition, maternal nutrition during pregnancy, pain in infants, and lack of nutrition in infants.[2] The implication is that children who are stunted, sufferers of stunting can experience decreased neurodevelopmental and cognitive function and increase the risk of developing chronic disease.[3]. The stunting problem is a major nutritional problem faced by Indonesia. Based on Riskesdas data, stunting rates in Indonesia is 27,67% in 2019. Distribusi geografis prevalensi stunting di Indonesia menunjukkan bahwa belum ada wilayah di Indonesia yang terbebas dari stunting. Prevalensi tertinggi di beberapa wilayah di NNT dan Sulawesi tengah dan terkecil (< 20%) di DKI Jakarta.[2]. Handbook of Applied Spatial Analysis: Software Tools, Methods and Applications. Local and global approaches to spatial data analysis in ecology.

Objectives

Methods

Discussion

Conclusion