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SKRIPSI IMPLEMENTASI LOGIKA FUZZY PADA KANDANG AYAM CLOSED HOUSE BERBASIS IoT
The close house chicken coop is a type of cage that is widely used in the industrial era 4.0 because it has good environmental conditions. This cage can be used by broiler chickens. The environment where broiler chickens are grown has a significant effect on chicken meat productivity so it needs to be maintained properly. These environmental components include the level of ammonia gas, age of the hicken, temperature and humidity. The limitation of previous research was that it did not consider the variables of temperature, humidity, age and ammonia gas in controlling the closed cage environment at home, so that it had an impact on chicken growth. To
overcome this problem, this research applies the Sugeno fuzzy method to control ammonia, humidity and temperature based on the age of the chicken by actuating lights, fans and pumps. The test results show that the DHT11 reading sensor has a temperature reading error of 0.30% nd humidity of
0.31%, the MiCS
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5524 ammonia sensor has an error of 5.4%. Control analysis in the starter phase has a control error of 0% temperature, 0.01% humidity and 0% ammonia. The grow phase has a temperature control error of 0.04%, humidity 0% and ammonia 0.22%. The finisher phase has a temperature control error of 0.11%, humidity 4.9% and ammonia 4.43%. The results of testing the equipment for 30 days using 16 broiler chickens resulted in all of the chickens remaining alive until harvest with an average final weight of 1858.7. This result has reached the target chicken weight according to the standard with an increase of 60.7 grams.
Keywords: Chicken closed house cage, Fuzzy Sugeno, Age, Temperature, Humidity, Ammonia.
119-UN57.U1-STE-II-2025 | ELEKTRO MUN I 2025 | Ruang Skripsi (TEKNIK ELEKTRO) | Tersedia namun tidak untuk dipinjamkan - No Loan |
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