Research Article
Spatial Durbin Model for Identifying the Factors Affecting Diarrhea in East Java
@INPROCEEDINGS{10.4108/eai.2-8-2019.2290532, author={Dyra Fitri Kesuma Dewi and Asep Saefuddin and Utami Dyah Syafitri}, title={Spatial Durbin Model for Identifying the Factors Affecting Diarrhea in East Java}, proceedings={Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia}, publisher={EAI}, proceedings_a={ICSA}, year={2020}, month={1}, keywords={diarrhea spatial autoregressive spatial durbin spatial error spatial regression}, doi={10.4108/eai.2-8-2019.2290532} }- Dyra Fitri Kesuma Dewi
Asep Saefuddin
Utami Dyah Syafitri
Year: 2020
Spatial Durbin Model for Identifying the Factors Affecting Diarrhea in East Java
ICSA
EAI
DOI: 10.4108/eai.2-8-2019.2290532
Abstract
Diarrhea is an infectious disease that has been a major health problem in Indonesia. To reduce the number of diarrhea cases in Indonesia, the government must examine the factors causing diarrhea in order to make the right decision. An analysis that can be used forthis purpose is regression analysis. When regression analysis is conducted with spatial data, the residuals are usually spatially autocorrelated. There are some methods which can handlethis spatial effect, such as spatial autoregressive (SAR), spatial error (SEM), and spatial durbin(SDM) models. In this research, those models were used to model the number of diarrhea cases in East Java in 2017. SDM was the best model because it had the smallest AIC and the greatest pseudoR2. There were two variables significantly affecting diarrhea cases in East Java, percentage of people with clean and healthy lifestyle, and spatial lag of the population’s density.