Implementasi Kontrol PID dan Logika Fuzzy untuk Optimasi Regulasi Suhu Kandang Day Old Chick (DOC) Berbasis Internet of Thing

Abstract

This research aims to maintain the temperature stability of a Day-Old Chicken (DOC) coop through the implementation and performance analysis of PID control and Fuzzy Logic methods in an IoT-based coop temperature optimization system. The system was designed using an ESP32 microcontroller as the central controller, a DHT22 sensor as the temperature reader, an AC light dimmer as the actuator, and a heating lamp as the heat source. The PID method uses the Kp, Ki, and Kd parameters to determine output stability, while the Fuzzy Logic method uses COLD, WARM, and HOT membership functions to determine the ON/OFF condition of the heating lamp. The PID implementation is integrated with a Telegram Bot for system monitoring and control, while the Fuzzy Logic method is connected to a Cloud API and Google Sheets for real-time data storage and retrieval. Sensor calibration was performed by comparing the temperature readings of the DHT22 sensor with a GEA wood thermometer, yielding a measurement difference of 0.1°C–0.8°C. PID control testing showed that the 33.5°C setpoint was the most stable and precise operating point compared to the other setpoints, with the lowest overshoot (2.39%) and a steady-state error of 0%. In testing with the Fuzzy method, the results showed that the temperature remained within the optimal range of 32.8°C–35.0°C, with an average temperature of 34.04°C. Based on the research results, the implementation of PID and Fuzzy Logic is able to improve coop temperature stability automatically, responsively, and efficiently to support the health and growth of DOC chickens during the early rearing phase in an enclosed coop environment.

Keywords: Coop temperature, DOC, ESP32, Fuzzy Logic, IoT, PID