Vol. 16 No. 1 (2025): JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi Vol 16 No 1 Tahun 2025.
Articles

Implementasi Logika Fuzzy Tsukamoto Dalam Web Prediksi Banjir Di Kabupaten Blitar

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  • Umi Hanik,
  • Virganda Rimba Asmara,
  • Rizky Yunis Teresya,
  • Zoulvia Hanest Khinanti,
  • Asshyffatul Aina Ni’mah,
  • Bintang Lailatul Mukaromah
Umi Hanik
Balitar Islamic University, Informatics Engineering
Virganda Rimba Asmara
Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Islam Balitar
Rizky Yunis Teresya
Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Islam Balitar
Zoulvia Hanest Khinanti
Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Islam Balitar
Asshyffatul Aina Ni’mah
Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Islam Balitar
Bintang Lailatul Mukaromah
Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Islam Balitar

Published 04-07-2025

Keywords

  • Flood Prediction; Tsukamoto Fuzzy Logic; Disaster Migration; Rainfall; Early Warning System

Copyright (c) 2025 Umi Hanik, Virganda Rimba Asmara, Rizky Yunis Teresya, Zoulvia Hanest Khinanti, Asshyffatul Aina Ni’mah, Bintang Lailatul Mukaromah

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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.

PDF (Indonesian)

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