Application of Geographically Weighted Regression Analysis for Modelling Pneumonia Toddlers in West Java Province

Intan Nurkartri Utami, Jaka Nugraha

Abstract


SDGs or Sustainable Development Goals is a joint development program until 2030 that is agreed by various countries including Indonesia in the UN resolutions forum. One of SDGs targets is to terminate infant and toddler deaths. Pneumonia is the world’s leading cause of death among children, and Indonesia has become the top 10 countries with the highest toddler mortality rate due to pneumonia. West Java become the first position on the percentage estimation of pneumonia toddlers cases in java island, with different percentage of pneumonia toddlers for each district. The variation allows the influence of location to the pneumonia toddlers. this study aims to determine the factors that affect the percentage of pneumonia toddlers in every district / city in West Java by using GWR analysis. Geographically weighted Regression is the development of linear regression used to analyze spatial data. The final result shows that the modeling of pneumonia toddlers in West Java shows spatial influence. The GWR model yields R-square value of 78.08% greater than the linear regression model that is 50.49%. 8 groups are formed which each have a factor criterion that influences for each different location.

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References


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