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Adi Pradana, K., & Budi Santosa, P. (2019). Spatial Autocorrelation Analysis of Tuberculosis Cases (2016-2018) In Kebumen. KnE Engineering, 4(3), 150–157. https://doi.org/10.18502/keg.v4i3.5841

https://doi.org/10.18502/keg.v4i3.5841

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authors

  • Kurniawan Adi Pradana

    Kurniawan Adi Pradana

    Department of Geodetic Engineering, Faculty of Engineering, Universitas Gadjah Mada, Daerah Istimewa Yogyakarta, Indonesia
  • Purnama Budi Santosa

    Purnama Budi Santosa

    Department of Geodetic Engineering, Faculty of Engineering, Universitas Gadjah Mada, Daerah Istimewa Yogyakarta, Indonesia

Published Date

  • Dec 26, 2019

Spatial Autocorrelation Analysis of Tuberculosis Cases (2016-2018) In Kebumen

KnE Engineering / The 1st International Conference on Geodesy, Geomatics, and Land Administration 2019 / Pages 150–157

Abstract

Tuberculosis (TB) is one of the tenth highest causes of death in Indonesia and even worldwide. Tuberculosis is an infectious disease caused by an infection of Mycobacterium tuberculosis bacterium. Kebumen is one of the districts with high tuberculosis cases and tends to increase every year. Based on the high case number, it is necessary to start research that examines patterns of spread. Spatial analysis is a very useful tool to evaluate the spreading pattern of the tuberculosis disease according to its geographical location. The study aimed to spatially analyze tuberculosis spread pattern from 2016 to 2018 using the spatial autocorrelation method through Moran Index and Local Indicator of Spatial Association (LISA). The study showed that the spatial autocorrelation in the spreading patterns of tuberculosis occurred in Kebumen and had a clustered pattern because of Moran Index is positive. The results of the LISA analysis in the High-High quadrant showed that the high tuberculosis cases correlated with areas that also had high tuberculosis cases. Sixteen villages were included in the High-High quadrant.

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