Jurnal Teknik Elektro Indonesia JTEIN UNP, Smart Egg Incubator Monitoring System Based on IoT and Blynk Connectivity.

The success of hatching poultry eggs is greatly influenced by the stability of temperature, humidity, and the ability to detect hatching time. Conventional incubator snot yet providing monitoring in real-time, making it vulnerable to failure. The purpose of this research is to develop a smart incubator system based on the Node MCU ESP32equipped with temperature and humidity sensors, a MAX9814 microphone, an MG996R servo motor, and an ESP32-Camandcan be monitored online via the Blynk application. Testing includes testing temperature and humidity sensors compared to with standard measuring instruments, servo motor rotation monitoring, chick sound detection, and video streaming from the ESP32-Cam. This test use 10 free-range chicken eggs for 21 days incubation period and the result, 3 eggs hatched successfully, 2 in the pipping stage, and 5 did not hatch So level success rate is 30%. This system It was able to maintain an average temperature of 37.4°C with an error of 0.27% (99.73% accuracy) and humidity of 52% with an error of 0.67% (99.33% accuracy). The system also successfully detected hatching sounds and provided real-time visual confirmation. Compared to previous research, this tool excels because it has notification features, camera visualization, and automatic sound detection. This innovation provides a practical and efficient solution to increase the success of poultry hatching, especially in areas with limited resources. power.

Keywords: DHT22; ESP32-Cam; Internet of Things (IoT); MAX9814; Node MCU ESP321