The Implementation of Mamdani’s Fuzzy Model for Controlling the Temperature of Chicken Egg Incubator

Today, development of technology is rapidly growing in many fields, including in animal husbandry. This technology could be applied in the process of hatching eggs in chicken farms. Since the process of hatching egg was become an important process that correlated with the failure rate in hatching eggs. In order to get an optimal process of hatching eggs, temperature must be controlled as closely as an ideal temperature, which is around 37-40 Celsius. This study builds the prototype of chicken egg incubator system whose temperature was controlled using a Mamdani logic fuzzy control, so it's can run optimally. We use DFTII sensor to get the temperature and humidity of incubator as an input of fuzzy logic. Using a fuzzy logic to control the temperature, the output of this system is the speed of fan (PWM). Furthermore, we use 2 lamps to make the temperature warmer, so that the temperature of this incubator could be control in an ideal temperature. We do software testing and overall system performance testing. Software testing is carried out to see whether the implemented fuzzy logic is in accordance with the expected, by comparing the results obtained from a system built with manual calculations and simulation calculations. Based on the test results, it is found that the fuzzy system has been implemented successfully with 47.36% success. While the results of the overall system performance test show that the system being built has worked well.