IoT-Based Real-Time River Monitoring and Early Flood Warning Using ESP32 and HC-SR04

Asri Mulyani; Dede Kurniadi; Rizki Esa Saputra

doi:10.56741/jnest.v5i01.1252

IoT-Based Real-Time River Monitoring and Early Flood Warning Using ESP32 and HC-SR04

Authors

Asri Mulyani Institut Teknologi Garut https://orcid.org/0000-0001-8496-7726
Dede Kurniadi Institut Teknologi Garut https://orcid.org/0000-0002-1455-2821
Rizki Esa Saputra Institut Teknologi Garut

DOI:

https://doi.org/10.56741/jnest.v5i01.1252

Keywords:

Blynk, Early Flood Warning, SP32, HC-SR04, IoT, River Monitoring

Abstract

Floods remain one of the most frequent and destructive natural disasters in Indonesia, primarily caused by rising river water levels. This study presents a prototype of an IoT-based river water level monitoring system using an HC-SR04 ultrasonic sensor, an ESP32 microcontroller, and the Blynk platform for real-time monitoring and alerting. The system classifies water levels into three categories: safe, alert, and danger, triggering local alarms (buzzers) and smartphone notifications accordingly. Evaluation results show a high sensor accuracy of up to 99.7%, with a notification delay averaging 1.2 seconds and a buzzer response time of less than 0.5 seconds. The system has been tested through black box testing and field simulations and has shown reliable performance for early flood warnings. These findings demonstrate the system’s potential in enhancing flood preparedness, particularly in vulnerable communities. Future enhancements include deploying waterproof sensors and integrating additional alert platforms such as SMS or sirens.

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Author Biographies

Asri Mulyani, Institut Teknologi Garut

is an Associate Professor in the Department of Computer Science at Institut Teknologi Garut and a certified lecturer by the Ministry of Research, Technology, and Higher Education of the Republic of Indonesia. She is a Doctoral candidate in Computer Science at Dian Nuswantoro University. Her research interests include computer vision, deep learning, intelligent systems, software engineering, and machine learning. (email: asrimulyani@itg.ac.id).

Dede Kurniadi, Institut Teknologi Garut

is an Associate Professor in the Department of Computer Science at Institut Teknologi Garut and a certified lecturer by the Ministry of Research, Technology, and Higher Education of the Republic of Indonesia. His Doctoral degree was in Computer Science from Binus University. His research interests include intelligent systems, deep learning, machine learning, computer vision, and software engineering. (email: dede.kurniadi@itg.ac.id).

Rizki Esa Saputra, Institut Teknologi Garut

received his bachelor's degree in Informatics Engineering from Institut Teknologi Garut, Indonesia. His research interests focus on software engineering, the Internet of Things, and software development. (email: rizkiesasaputra@gmail.com).

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