PROTOTYPE OF AN INTERNET OF THINGS (IoT) BASED SHRIMP POND WATER MANAGEMENT SYSTEM

Abstract

The Fourth Industrial Revolution has driven the development of Internet of Things (IoT) technology, playing a crucial role in various sectors, including aquaculture. This article reviews the development and testing of an IoT-based pond water management prototype system for monitoring temperature, pH, and water level automatically. The system employs a DS18B20 sensor for temperature, a DFROBOT V1 pH sensor, and a JSN-SR04T ultrasonic sensor, as well as an ESP32 module for data communication. The system development method follows the Waterfall model, encompassing the stages of planning, modeling, implementation, and testing Testing results indicate that the DFROBOT V1 pH sensor has an average error of 2.06%, the DS18B20 temperature sensor has an average error of 1.714%, and the ultrasonic sensor has an average error of 3.36%. Notifications regarding pond water conditions are sent via the Blynk application, providing ease of monitoring for pond farmers. The conclusion from this testing is that the developed prototype can function effectively in monitoring and managing the water quality of shrimp ponds, although there are some error levels that remain within the tolerance limits