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Submitted
February 5, 2021
Accepted
May 24, 2021
Published
June 18, 2021
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Abstract

This study aims to determine the drought risk of Kulon Progo Regency using fuzzy logic and study the characteristics. The input variables used in this study are the drought level, exposed population, and vulnerable population. The Mamdani method used in the fuzzy inference to obtain the output variable, that is, the Drought Risk Index (DRI). Then, the DRI are mapped to generate the drought risk map. The result shows that the fuzzy logic can be used to determine the drought risk. The drought risk level of the subdistricts in Kulon Progo Regency was fluctuated from 2010 to 2019. The drought risk level in 2010-2015 and 2019 were dominated by the low category. Meanwhile, the drought risk level in 2016-2018 was dominated by the very low category. Furthermore, the result also shows that the subdistricts located in the southern region of Kulon Progo Regency had a higher risk than those in the middle and northern regions during the last 10 years

Keywords

Fuzzy logic Drought Kulon Progo

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How to Cite
Jayadri, B. L., & Abadi, A. M. (2021). Fuzzy Logic Application for Drought Risk Determination in Kulon Progo Regency, Daerah Istimewa Yogyakarta Province, Indonesia. EKSAKTA: Journal of Sciences and Data Analysis, 2(1), 62–75. https://doi.org/10.20885/EKSAKTA.vol2.iss1.art9
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