Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia

Research Article

Spatial Durbin Model for Identifying the Factors Affecting Diarrhea in East Java

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  • @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
Dyra Fitri Kesuma Dewi1,*, Asep Saefuddin1, Utami Dyah Syafitri1
  • 1: Department of Statistics, IPB University
*Contact email: dyrafitrikd@gmail.com

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.