Research Article
Rainfall Prediction Using Fuzzy Logic Method For Early Warning System In Flood Disaster Mitigation In Nganjuk
@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
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%
