Work

Implementation of Fuzzy Logic for Early Warning System for Flood Disaster in Cilacap District

Year: 2025

Type: article

Abstract: Indonesia's tropical climate and high rainfall frequently lead to unnoticed river overflows, causing significant health and economic losses. A Flood Early Warning System (EWS) using LoRa communication and an Arduino Mega2560 microcontroller was developed, incorporating ultrasonic, DHT11, rain gauge, and anemometer sensors to measure water level, temperature, humidity, rainfall, and wind speed. Unlike previous systems, it applies fuzzy logic for improved accuracy by considering rainfall and wind speed. Sensor errors ranged from 2.14% to 3.19%, with data transmission to ThingSpeak taking 11 seconds (99.94% accuracy) and to a website averaging 15.03 seconds. Fuzzy logic enhanced the system's warning accuracy.

Source: Jurnal Ecotipe (Electronic Control Telecommunication Information and Power Engineering)

DOI: 10.33019/jurnalecotipe.v12i1.4529

Authors: Erna Alimudin, Arif Sumardiono, Zaenurohman Zaenurohman

Language: English

Topic: Arduino and IoT Applications

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Clean water and sanitation, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4409818933

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