Implementasi Logika Fuzzy Tsukamoto Dalam Web Prediksi Banjir Di Kabupaten Blitar

Authors

  • 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

DOI:

https://doi.org/10.36382/jti-tki.v16i1.556

Keywords:

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

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.

References

[1] “jurnal specta of technologi penerapan metode tsukamoto.”
[2] A. Sa’dan, H. Haryanto, S. Astuti, and Y. Rahayu, “Agen Cerdas Berbasis Fuzzy Tsukamoto pada Sistem Prediksi Banjir,” Eksplora Inform., vol. 8, no. 2, pp. 104–111, Mar. 2019, doi: 10.30864/eksplora.v8i2.154.
[3] “PERBUP BLITAR NO 102 TAHUN 2024 TENTANG KAJIAN RISIKO BENCANA-digabungkan.pdf.”
[4] R. Septianto, W. W. Pamungkas, and M. A. Yuana, “SISTEM PERINGATAN DINI BANJIR MENGGUNAKAN LOGIKA,” vol. 8, no. 1, 2022.
[5] P. F. E. Adipraja and D. A. Sulistyo, “PEMODELAN FUZZY INFERENCE SYSTEM TSUKAMOTO UNTUK PREDIKSI KEJADIAN BANJIR DI KOTA MALANG”.
[6] M. N. Marzuqi, “Sistem Informasi Geografi Daerah Potensi Banjir Menggunakan Fuzzy Inferensi Sistem,” vol. 11, 2022.
[7] B. Supriyadi and U. Ungkawa, “Sistem Peringatan Dini Antisipasi Banjir Menggunakan Metode Kalman Filter dan Fuzzy Logic”.
[8] S. Yuliantika and D. L. Kartika, “Implementasi Metode Fuzzy Mamdani sebagai Deteksi Awal Banjir Lokal di Bendung Gerak Serayu,” Sq. J. Math. Math. Educ., vol. 4, no. 1, pp. 17–25, Apr. 2022, doi: 10.21580/square.2022.4.1.11177.
[9] C. P. Putri, M. D. Daviansyah, M. F. Firmansyah, and M. Kom, “SISTEM PENDETEKSI BANJIR MENGGUNAKAN METODE FUZZY MAMDANI DENGAN GUI MATLAB DI JAKARTA,” vol. 2, 2021.
[10] E. Gani, H. S. Kolibu, and G. H. Tamuntuan, “Pemanfaatan Logika Fuzzy Untuk Sistem Prediksi Banjir,” J. MIPA, vol. 5, no. 2, p. 81, Aug. 2016, doi: 10.35799/jm.5.2.2016.12965.
[11] Kurniawan, H., Apriliah, W., Kurniawan, I., & Firmansyah, D. (2020). Penerapan metode waterfall dalam perancangan sistem informasi penggajian pada SMK Bina Karya Karawang. Jurnal Interkom: Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi,14(4),159. https://doi.org/10.35969/interkom.v14i4.58
[12] Zalukhu, A., Purba, S., & Darma, D. (2023). Perangkat lunak aplikasi pembelajaran flowchart. Jurnal Teknologi Informasi dan Industri, 4(1), 61-70. https://doi.org/10.35969/jti.v4i1.12345

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Published

2025-07-04

Issue

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

Section

Articles