Geomatics and Environmental Engineering, vol. 18, no. 1

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Vol. 18 No. 1 (2024): Geomatics and Environmental Engineering

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Submitted
Jul 3, 2023
Accepted
Dec 10, 2023
Published
Jan 16, 2024
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Support Vector Machine for Susceptibility Modeling of Dengue Fever in Kendari, Southeast Sulawesi

https://doi.org/10.7494/geom.2024.18.1.29
Prima Widayani
Universitas Gadjah Mada, Faculty of Geography, Yogyakarta, Indonesia
https://orcid.org/0000-0003-0891-2074
Abhista Fawwaz Sahitya
Universitas Gadjah Mada, Faculty of Geography, Yogyakarta, Indonesia.
Agatha Andriantari Saputri
Universitas Gadjah Mada, Faculty of Geography, Yogyakarta, Indonesia

Corresponding Author(s) : Prima Widayani

primawidayani@ugm.ac.id

Geomatics and Environmental Engineering, Vol. 18 No. 1 (2024): Geomatics and Environmental Engineering

Abstract

Dengue fever (DF) is an infectious disease that is still a problem in Indonesia. The total death rate due to DF was 705 people in 2021; in 2022, this increased to 1183 (Indonesian Ministry of Health, 2023). Seeing this fact, prevention efforts are still needed when handling DF cases in all of the regions of Indonesia. This research was conducted in the Kendari area of Southeast Sulawesi, where there are still cases of DF. The purpose of this study was to create a spatial model of dengue susceptibility using a support vector machine. Landsat 8 imagery was used to intercept data on building density, vegetation density, land use, and land surface temperatures. Rainfall and humidity variables were obtained from the Meteorological, Climatological, and Geophysical Agency (BMKG). Based on the modeling results, the districts of Wua-wua, Kadia, Barunga, Poasi, and Puuwatu are areas with high susceptibility. The results of testing the susceptibility model to dengue hemorrhagic fever (DHF) in Kendari obtained an area under the curve (AUC) of 0.75, meaning that this model was well-accepted.

Keywords

dengue infectious disease spatial model support vector machine susceptibility
Widayani, P., Sahitya, A. F., & Saputri, A. A. (2024). Support Vector Machine for Susceptibility Modeling of Dengue Fever in Kendari, Southeast Sulawesi. Geomatics and Environmental Engineering, 18(1), 29–50. https://doi.org/10.7494/geom.2024.18.1.29
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