An IoT-Based Water Level Control Information System with a Hysteresis Algorithm
DOI:
https://doi.org/10.59395/jitp.v6i2.222Keywords:
Information System, Internet of Things , Water Level Control, Hysteresis Algorithm, ESP32 and JSN-SR04TAbstract
Water level management in storage tanks requires a system capable of monitoring water conditions and automatically controlling the pump to prevent the tank from becoming empty or overflowing. This study aims to develop an Internet of Things (IoT)-based Water Level Control Information System using a hysteresis algorithm. The system employs an ESP32, a JSN-SR04T sensor, a relay, a pump, and Blynk Cloud. The hysteresis algorithm applies a lower threshold of 20% and an upper threshold of 80% to determine the pump condition. Testing was conducted to evaluate sensor accuracy, control response, manual operation, and IoT communication. The results showed an average sensor error of 0.877% and an accuracy of 99.123%. Hysteresis testing demonstrated that the pump operated according to the predefined control thresholds. Manual control was tested using ON and OFF commands through the Blynk App. The five tested information parameters were successfully transmitted and received, with an average response time of 128.4 milliseconds. These results demonstrate that the system can integrate monitoring, decision-making, pump control, and user interaction through an IoT platform.
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