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Controlling Temperature of Chicken Egg Incubator Based on Fuzzy Logic Control Mamdani a) Department of Electrical Engineering, UIN Sunan Gunung Djati Bandung Abstract Today, the development of technology is rapidly expanding into all fields, including in the field of animal husbandry. In an effort to produce more optimal animal production, the use of technology has begun to be used with various methods and approaches, one of which can be implemented in the process of hatching eggs in the field of chicken farming. The optimal process of hatching eggs is an important process to minimize the process of failure in hatching eggs. This study described a design of a chicken egg incubator system that the temperature was control using fuzzy logic control, so that the hatching process can run optimally. The input used in this fuzzy logic system are the temperature and humidity which obtained from the LM35 sensor and the DHT22 sensor. Meanwhile, the output of these fuzzy system is the speed of the fan and the light, in order to reach the temperature that needed for the incubator system. The simulation was done and the simulation results show that using a case example it is known that the temperature value is 44 ℃ and the humidity value is 42%, the PWM value is 168 Rpm. Based on this simulation we can concluded that the model of temperature control for this incubator is quite good and could be implemented to the real system. Keywords: Egg Incubator, Fuzzy Logic, Mamdani, Temperature Control. Topic: Electrical Engineering |
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