Optimization of ideal temperature using Mamdani fuzzy logic alogorithm on tunnel flow type chicken cage for brooding period

Consumption of meat, particularly chicken meat, is increasing in Indonesia year after year, resulting in an increase in chicken meat output. The first step in improving the quality of chicken meat production is to boost success during the brooding stage, with one of the most critical stages being the achievement of the appropriate temperature requirement throughout the brooding period. Good broiler performance will result from uniform cage temperature during brooding. Too-cold temperatures will cause chicks to cuddle close to the heater and be too lethargic to conduct activities such as feeding and drinking. Chickens suffer from stunted growth as a result of this condition. A temperature that is excessively high, on the other hand, will force the chicks to flee the heater and seek a cooler location with better airflow. A fuzzy algorithm is an alternate way for temperature regulation that can maintain the temperature requirement of chicks during brooding. The Mamdani fuzzy approach utilized has the advantage of producing better results than other fuzzy methods. The findings of a temperature management system designed utilizing the Mamdani fuzzy approach with a tunnel flow cage design, a 100-watt bulb heater, two cooling pads, and three fans were able to maintain the appropriate temperature for 14 days in this investigation.

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