CONTROL SYSTEM OF CHICKEN EGG INCUBATOR USING FUZZY LOGIC METHOD
DOI:
https://doi.org/10.31961/positif.v9i2.2037Keywords:
incubator, fuzzy logic, mamdani, temperature controlAbstract
Technology is currently developing very rapidly, one of which is the technology of hatching eggs in chicken farms. The technology used is a chicken egg incubator why do farmers need an incubator in hatching because many farmers experience hatch failure, so that crop failure does not occur, this incubator is designed to achieve an ideal temperature of 37-40 0C, this ideal temperature is a good temperature in hatching chicken eggs, if it is too hot it will cause the quality of the eggs to decrease and even cause death. Controlling the temperature in this incubator uses the fuzzy mamdani and the DS18B20 sensor. The DS18B20 sensor is used to get the temperature in the incubator as input for fuzzy logic, the output of this system is the fan speed (PWM) and lights to make the temperature warmer. Based on the simulation results using fuzzy logic at a normal temperature of 39.5 0C with a total of 25 eggs the fan speed reaches normal, namely 160 PWM.
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F. Peprah, S. Gyamfi, M. Amo-Boateng, E. Buadi, and M. Obeng, “Design and construction of smart solar powered egg incubator based on GSM/IoT,” Sci. African, vol. 17, p. e01326, 2022, doi: 10.1016/j.sciaf.2022.e01326.
A. A. Sunday, O. A. Ogunbode, E. Godwin Babatunde, and A. Muyideen Olalekan, “Design and Construction of Automated Eggs Incubator for Small Scale Poultry Farmers,” Int. J. Tech. Res. Sci., vol. 5, no. 8, pp. 1–9, 2020, doi: 10.30780/ijtrs.v05.i08.001.
A. Uno, R. Microcontroller, H. E. A. Street, and N. Citangkil, “The Prototype Design of Duck Egg Incubator Machine Using,” JTKSI (Jurnal Teknol. Komput. dan Sist. Informasi), vol. 6, no. 2620–3030, pp. 102–106, 2023.
B. Kommey, D. Akudbilla, G. Doe, and C. O. Amponsah, “A low-cost smart egg-incubator,” vol. 4, no. 1, pp. 22–33, 2022.
J. Riset, S. Teknologi, M. Yasir, M. Maulidi, M. I. T. Ibrahim, and M. Faisal, “Jurnal Ristech Uji Kinerja Alat Penetas Telur Dengan Kapasitas 30 Butir Telur Bebek,” vol. 4, no. 1, pp. 39–44, 2023.
A. Alimuddin, R. Arafiyah, I. Saraswati, R. Alfanz, P. Hasudungan, and T. Taufik, “Development and performance study of temperature and humidity regulator in baby incubator using fuzzy-pid hybrid controller,” Energies, vol. 14, no. 20, 2021, doi: 10.3390/en14206505.
D. Zakaria et al., “Egg Incubator Control System: A Review,” vol. 05, no. 1, pp. 33–37, 2023.
G. C. N. S. Borneo Satria Pratama, Alfiqriansyah, Nilanda Ayu Az-Zahra, Arya Dwicahya S, “Tampilan Fuzzy Neo_ A Novel Method for Batch Liquid Temperature Control System Using Simpler Fuzzy Rule and Inference.pdf.” 2023.
V. Dubos, A. St-Hilaire, and N. E. Bergeron, “Fuzzy logic modelling of anadromous Arctic char spawning habitat from Nunavik Inuit knowledge,” Ecol. Modell., vol. 477, no. January, 2023, doi: 10.1016/j.ecolmodel.2022.110262.
I. N. Lestari, E. Mulyana, and R. Mardi, “The implementation of mamdani’s fuzzy model for controlling the temperature of chicken egg incubator,” Proc. - 2020 6th Int. Conf. Wirel. Telemat. ICWT 2020, 2020, doi: 10.1109/ICWT50448.2020.9243647.
E. Nurazizah, M. Ramdhani, and A. Rizal, “Rancang Bangun Termometer Digital Berbasis Sensor Ds18B20 Untuk Penyandang Tunanetra,” e-Proceeding Eng., vol. 4, no. 3, p. 3294, 2017.
P. Dutta and N. Anjum, “Optimization of Temperature and Relative Humidity in an Automatic Egg Incubator Using Mamdani Fuzzy Inference System,” Int. Conf. Robot. Electr. Signal Process. Tech., pp. 12–16, 2021, doi: 10.1109/ICREST51555.2021.9331155.
N. Khairina, LOGIKA FUZZY UNTUK MENENTUKAN IDEALITAS SUHU DAN, vol. 9, no. 1. 2019.
A. W. Syahroni and S. Rachmatullah, “Sistem Pendukung Keputusan Pemilihan Laptop pada Toko Online dengan Metode Fuzzy Tahani,” Sinkron, vol. 3, no. 1, pp. 1–10, 2018.
B. Y. Prawira et al., “Efisiensi Pencahayaan Ruangan Perkuliahan dengan Logika Fuzzy,” J. Tek. Elektro dan Komput., vol. 7, no. 1, pp. 33–44, 2018, [Online]. Available: https://ejournal.unsrat.ac.id/index.php/elekdankom/article/view/19183/24547
A. E. Setiawan, R. Mardiati, and E. Mulyana, “Design of automatic under water robot system based on mamdani fuzzy logic controller,” Proc. - 2020 6th Int. Conf. Wirel. Telemat. ICWT 2020, no. 1, 2020, doi: 10.1109/ICWT50448.2020.9243615.
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