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- W4319309605 abstract "Indonesia is one of the developing countries that are vulnerable due to various natural disasters, especially flooding is a form of natural phenomenon that occurs due to high rainfall intensity where there is excess water that is not accommodated by the water channel network in an area. Therefore, an early warning system is needed using the fuzzy logic control method as a decision maker to cope with disasters so that the anticipation of residents in dealing with disasters will increase. From the results of research conducted on the HCSR04 sensor for water level readings with an average percent error of ±0.50%, the Rain gauge sensor for rainfall readings with an average percent error of ±0.73%, and the Turbidity sensor with an average - Average percent error is ±12.2%. In testing this tool using parameters when the water level is 0–40 cm, the rainfall intensity is 0-100mm and the water turbidity reads 0–200 NTU it will display safe conditions. When the water level is 41–80 cm, the rainfall intensity is 101-300mm and the water turbidity reads 201–467 NTU, it will display an alert condition and give a warning with the siren on three times and also display a notification on the blynk application. And when the water level is 81–100 cm, the rainfall intensity is 301-500mm and the turbidity of the water reads 468–700 NTU, it will display a dangerous condition and give a warning with the siren on continuously and also display a notification on the blynk application." @default.
- W4319309605 created "2023-02-08" @default.
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- W4319309605 date "2022-11-22" @default.
- W4319309605 modified "2023-10-16" @default.
- W4319309605 title "Early Warning System Design for Flood Disasters Using the IoT-Based Fuzzy Logic Control Method" @default.
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- W4319309605 doi "https://doi.org/10.1109/iceecit55908.2022.10030237" @default.
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