Water Quality Monitoring System Based on the Internet of Things (IoT) for Vannamei Shrimp Farming


  • Rosliana Eso Universitas Halu Oleo
  • Hasmina Tari Mokui Universitas Halu Oleo
  • Arman Universitas Halu Oleo
  • Laode Safiuddin Universitas Halu Oleo
  • Husein Universitas Halu Oleo




water quality monitoring, Internet of Things (IoT), Vannamei shrimp


As Internet of Things (IoT) technology develops, water quality monitoring systems for Vannamei shrimp farms have become more inventive and straightforward. The prototype IoT system monitors and controls the pool using sensors that can measure water quality parameters, such as temperature, pH, and salinity. The research aimed to design an automated water quality monitoring system for Vannamei shrimp aquaculture. The research used the E-4052C sensor, DS18B20 sensor, and DFRobot V1.0 sensor as data transmitting hardware (transmitter) and the receiving hardware microcontroller NodeMCU ESP32 as data processing, management, and control system tools. Then, the system used a Wi-Fi network to transfer data from the microcontroller to the Message Queue Telemetry Transport (MQTT) server as a data cloud. Several software programs, including Telegram, Node-Red, and ThingSpeak, help Android devices display real-time data. Test results for the accuracy of the sensor’s reading on water pH are 99.71, with an error rate of 0.29%. Meanwhile, the accuracy of the temperature sensor is 98.03 with an error rate of 1.7%. On the other hand, the accuracy of the salinity sensor is 99.49, with an error rate of 0.41%. The results indicate that all sensors have excellent performance. The real-time monitoring display and Android Telegram notification functions are good, and the automatic water quality monitoring tool is successfully operating in the Vannamei shrimp pool in Pamandati, South Konawe District, Southeast Sulawesi ssProvince, Indonesia.


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Author Biographies

Rosliana Eso, Universitas Halu Oleo

Physics Education Study Program,  Department of Physics Education, Faculty of Teacher Training and Education

Hasmina Tari Mokui, Universitas Halu Oleo

Electrical Engineering Study Program, Department of Electrical Engineering, Faculty of Engineering

Arman, Universitas Halu Oleo

Mathematics Study Program, Department of Mathematics, Faculty of Matematics and science

Laode Safiuddin, Universitas Halu Oleo

Physics Education Study Program,  Department of Physics Education, Faculty of Teacher Training and Education

Husein, Universitas Halu Oleo

Physics Education Study Program,  Department of Physics Education, Faculty of Teacher Training and Education


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