SISTEM MONITORING KUALITAS AIR BIOFLOK IKAN NILA BERBASIS IOT DENGAN FSM SEBAGAI PENDUKUNG KEPUTUSAN DAN REKOMENDASI TINDAKAN
Abstract
Abstract. Water quality is a determining factor for the success of biofloc system fish farming; however, manual monitoring is often inaccurate and inefficient. This study aims to design an Internet of Things (IoT)-based water quality monitoring system to assist farmers in monitoring pond conditions in real-time. The system was developed using an ESP32 microcontroller integrating pH, TDS, and JSN-SR04T ultrasonic sensors. The Finite State Machine (FSM) method was used as the decision-making logic to determine the system status as standby, drain, or refill based on measured parameters. The test results show that the system can detect water quality fluctuations with an average pH of 7.98, TDS of 155.5 ppm, and water level of 21.3 cm, while consistently sending warning notifications via Telegram Bot. The dominance of the drain status at 70% during testing demonstrates the system's responsiveness in detecting anomalies. In conclusion, the implementation of the FSM method in this IoT-based system effectively transforms sensor data into structured action recommendations, thereby increasing monitoring efficiency and minimizing the risk of cultivation failure.
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