PROTOTIPE SISTEM MONITORING DAN KONTROL SUHU RUANGAN BATERAI BASAH BERBASIS LOGIKA FUZZY MAMDANI

Extreme temperatures can impair the performance and shorten the lifespan of wet batteries. This research develops an automatic temperature monitoring and control system based on ESP-32 with Mamdani Fuzzy Logic and IoT for battery storage. The system uses a DHT22 sensor for temperature, a PIR sensor for motion, a DC fan, and a light, with data sent in real-time via MQTT to a web dashboard. The software implements Mamdani Fuzzy Logic with 15 rules to control the fan and light. The accuracy testing of the DHT22 sensor shows a Mean Absolute Error (MAE) of 0.54 °C and a Root Mean Squared Error (RMSE) of 0.599 °C. The system is tested at temperatures of 20°C (light on), 35°C (fan on), and 40°C (both on). Fuzzy validation shows a difference in average error of less than 5%, and a PIR response time of less than 1 second. Implementation has proven the system's effectiveness in maintaining temperature stability, reducing the risk of overheating, and improving operational efficiency automatically, energy-efficiently, and sustainably.
Keywords: Battery Room, Temperature Monitoring, Temperature Control, Fuzzy Mamdani, IoT, ESP-32.