Sistem Monitoring Kualitas Air Secara Real Time pada Kolam Ikan Bioflok Berbasis Internet of Things

Abstract

Water quality is an important factor in biofloc fish farming because changes in temperature, pH, and ammonia (NH₃) levels can affect environmental conditions and fish health. This study aims to develop a real-time water quality monitoring system for biofloc fish ponds based on the Internet of Things (IoT). The system uses an Arduino Nano to process sensor data and an ESP32 as a communication device to transmit data via WiFi to the Firebase Realtime Database. The monitored parameters include temperature, pH, and ammonia (NH₃), with ammonia levels calculated based on temperature and pH data. Monitoring data are displayed on a web-based dashboard to facilitate remote observation. The test results show that the temperature sensor can detect temperature changes ranging from 37.7–31.5 °C, while the pH sensor responds to changes according to pH Up and pH Down treatments. Real-time testing produced temperature values of 26.2–29.1 °C, pH values of 4.01–7.57, and ammonia levels of 1.165–1.590 ppm. Overall, the system can monitor and record water quality changes periodically, supporting real-time monitoring of biofloc pond conditions.