Flood Controlling Smart System: Smart River Bentayan

Abstract

In riverine areas, the occurrence of flash floods and other natural disasters is prevalent, necessitating the implementation of assistive technologies such as flood management systems. The Internet of Things (IoT) presents a promising approach to enhance the effectiveness of such systems by establishing a network of interconnected devices. However, the limited size of the Bentayan River has hindered the upgrade of its drainage system. This study aims to address this issue by implementing a flood management system that records humidity and water levels, providing control over river overflowing. The primary beneficiaries of this system are the Jabatan Pengairan Dan Saliran (JPS) Daerah Muar and the local community surrounding Sungai Bentayan, including traders and the public. The study follows the Input-Process-Output (IPO) methodology, comprising three phases: input, process, and output. Various components, including Ultrasonic Sensor, Water Level Sensor, Humidity and Temperature Sensor, Servo Motor, LED lights, and NodeMCU, are employed in this project. The Arduino IDE software is utilized for code generation and system integration. Through extensive testing, the prototype successfully increases the barrier height when the water level reaches its limit. This project significantly contributes to the enhancement of the drainage system near Sungai Bentayan, making it more resilient against dangerous water levels. Future work will focus on refining the accuracy of the water level sensor to further improve the system's performance.