PEMANTAUAN DAN DETEKSI SUHU AYAM PETELUR PADA KANDANG TERTUTUP BERBASIS IOT

This research developed a prototype system for monitoring and detecting the temperature of laying hens in closed cages using the YOLOV5 model, which was then displayed via the web. This system is designed to overcome the challenges of maintaining optimal temperatures in the laying hencage, which is critical for the health and productivity of the hens. Chickens are one of the biggest contributors to these food needs. However, chicken farmers are currently still unable to develop their farms to be able to keep up with the increasing demand, this is due to the fact that many chicken farming systems have not been optimal in developing their farming systems, oneexample is monitoring the temperature of chickens which canaffect sick chickens. Manual inspections are still carried out if disease transmission occurs within a short time to other healthy chickens before handling, whichcan affect the productivity of chicken farmers. Therefore weneeda technology that is able to supervise and monitor chickens by paying attention to symptoms of disease including chicken movement by utilizing image processing with the YOLO algorithm using YOLO V5 technology, this system is able to detect chickens in real-time and measure their body temperature using an integrated infrared sensor. The temperature data obtained from each chicken is processed and analyzed to ensure that thetemperature in the cage is at a safe and comfortable level. Theresultsoftemperature detection and monitoring are then displayed via auser-friendlyweb interface, allowing farmers to access information easily andquickly.This prototype is expected to increase the efficiency of closed cage management, reduce the risk of thermal stress in chickens, and increase egg production results.