Proceedings of the International Conference on Sustainable Engineering, Infrastructure and Development, ICO-SEID 2022, 23-24 November 2022, Jakarta, Indonesia

Research Article

Rainfall Prediction Using Fuzzy Logic Method For Early Warning System In Flood Disaster Mitigation In Nganjuk

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  • @INPROCEEDINGS{10.4108/eai.23-11-2022.2341570,
        author={Muhammad Shofwan Donny Cahyono and Leonardus Setia Budi Wibowo and Yoga Alif Kurnia Utama},
        title={Rainfall Prediction Using Fuzzy Logic Method For Early Warning System In Flood Disaster Mitigation In Nganjuk },
        proceedings={Proceedings of the International Conference on Sustainable Engineering, Infrastructure and Development, ICO-SEID 2022, 23-24 November 2022, Jakarta, Indonesia},
        publisher={EAI},
        proceedings_a={ICO-SEID},
        year={2023},
        month={12},
        keywords={flood fuzzy logic early warning system},
        doi={10.4108/eai.23-11-2022.2341570}
    }
    
  • Muhammad Shofwan Donny Cahyono
    Leonardus Setia Budi Wibowo
    Yoga Alif Kurnia Utama
    Year: 2023
    Rainfall Prediction Using Fuzzy Logic Method For Early Warning System In Flood Disaster Mitigation In Nganjuk
    ICO-SEID
    EAI
    DOI: 10.4108/eai.23-11-2022.2341570
Muhammad Shofwan Donny Cahyono1,*, Leonardus Setia Budi Wibowo2, Yoga Alif Kurnia Utama3
  • 1: Civil Engineering, Faculty Engineering, Widya Kartika University, Surabaya, Indonesia
  • 2: Civil Engineering, Faculty Engineering, Widya Kartika University, Surabaya and National Research and Innovation Agency, Indonesia
  • 3: Electrical Engineering, Faculty Engineering, Widya Kartika University, Surabaya, Indonesia
*Contact email: shofwandonny@widyakartika.ac.id

Abstract

In general, flooding often causes problems in the form of flood disasters. This is because the flooding of shipments is unpredictable and causes a large area of impact. This problem will certainly have an impact on various life activities, such as threatened public safety, the emergence of congestion, and a decrease in agricultural, livestock, and fishery production. The cause of overland flow is the overflowing river in the upstream area due to high intesity of rainfall, therefore an early warning of flood predictions is needed to prepare to minimize the impact of flooding. One of the effective solutions is rainfall prediction for flood early detection systems. This study aims to predict the weather optimally and apply it to flood early warning system applications using fuzzy logic methods. The predicted rainfall intensity of the fuzzy logic model has an error rate of 4.58%