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All Journal TEKNOLOGI INFORMASI
Bintang Lailatul Mukaromah
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Computer Science & IT

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Implementasi Logika Fuzzy Tsukamoto Dalam Web Prediksi Banjir Di Kabupaten Blitar Hanik, Umi; Virganda Rimba Asmara; Rizky Yunis Teresya; Zoulvia Hanest Khinanti; Asshyffatul Aina Ni’mah; Bintang Lailatul Mukaromah
Teknologi Informasi : Teori, Konsep, dan Implementasi : Jurnal Ilmiah Vol 16 No 1 (2025): URNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi Vol 16 No 1 Tahun 2025
Publisher : LPPM STIMATA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36382/jti-tki.v16i1.556

Abstract

Flooding is one of the natural disasters that frequently occurs in Indonesia, causing material losses and loss of life. To support early warning systems and risk mitigation, accurate flood prediction is needed. This study focuses on applying the Tsukamoto fuzzy logic method to predict flood potential in the Blitar Regency. The choice of this method is based on its ability to handle data uncertainty and produce more accurate predictions through the rule-based defuzzification process. The main variables analyzed include rainfall, river discharge, and regional characteristics that influence the likelihood of flooding. The results of the study show that the Tsukamoto fuzzy logic method can predict flood potential with a high level of accuracy, which is in line with findings from previous studies. It is hoped that this fuzzy logic-based prediction system can provide an effective solution for early warning, reduce the impact of flooding, and support decision-making in flood disaster mitigation in the Blitar Regency.
Co-Authors Asshyffatul Aina Ni’mah Rizky Yunis Teresya Umi Hanik Virganda Rimba Asmara Zoulvia Hanest Khinanti