Electrical Engineering
DOI: 10.21070/jeeeu.v4i1.310
Published: 2020-04-26

Design of Temperature and Humidity Control Systems in Quail Puppies Cages Using Fuzzy Logic Method


Perancangan Sistem Kendali Suhu dan Kelembaban pada Kandang Anakan Burung Puyuh Menggunakan Metode Logika Fuzzy

Universitas Islam Kadiri
Indonesia
Universitas Islam Kadiri
Indonesia
https://orcid.org/0000-0002-8259-8012
Temperature Humidity Fuzzy Logic DHT11

Abstract

After the quail eggs hatch, quail chicks need a warm place as a substitute for the mother to maintain body temperature. The temperature needed by quail chicks is approximately 37°C in the first week and each following week the temperature is lowered to room temperature of 28°C. This research applies the control of temperature and humidity of quail chicks based on fuzzy logic Tsukamoto method. As a detector of temperature and humidity on drums used DHT11 sensor. This temperature and room control system is designed to reduce mortality in quail chicks. The average temperature and humidity reading error for quail puppages by using the DHT 11 sensor is 1% of the temperature reading and 2% of the humidity reading. The results of the implementation of fuzzy logic control are able to maintain the stability of temperature and humidity in quail chicks cages at 32°C – 38°C with humidity between 40% RH – 70% RH.

References

  1. K. Ismawati and A. Nurhidayat, “KAJIAN EKONOMI ALIH TEKNOLOGI MELALUI REKAYASA MESIN PENETAS OTOMATIS TERNAK PUYUH,” INCONTECSS| ISBN 978-623-92318-1-1, no. 16 November, pp. 289–294, 2019.
  2. R. K. Listiyowati E, Beternak Puyuh. Yogyakarta: Citra Aji Pratama, 2004.
  3. N. El Maidah, A. E. Putra, and R. Pulungan, “Perancangan Perangkat Keras Pengendali Fuzzy Berbasis Mikrokontroler ATmega32 sebagai Pengendali Suhu dan Kelembaban,” 2012.
  4. I. Faktaria, “PRODUKTIVITAS BURUNG PUYUH UMUR 8-12 MINGGU YANG DIPELIHARA PADA TINGKAT KEPADATAN KANDANG YANG BERBEDA,” Universitas Islam Negeri Sultan Sarif Kasim Riau, 2014.
  5. A. Rahmadiansyah, E. Orlanda, M. Wijaya, H. W. Nugroho, and R. Firmansyah, “Perancangan Sistem Telemetri Untuk Mengukur Intensitas Cahaya Berbasis Sensor Light Dependent Resistor Dan Arduino Uno,” JEEE-U (Journal Electr. Electron. Eng., vol. 1, no. 1, pp. 15–21, 2017.
  6. A. Mallik, S. A. Hossain, A. Bin Karim, and S. M. Hasan, “Development of LOCAL-IP based Environmental Condition Monitoring using Wireless Sensor Network,” Int. J. Sensors Wirel. Commun. Control, vol. 9, no. 4, pp. 454–461, 2019.
  7. M. Meriadi, S. Meliala, and M. Muhammad, “PERENCANAAN DAN PEMBUATAN ALAT PENGERING BIJI COKLAT DENGAN WADAH PUTAR MENGGUNAKAN PEMANAS LISTRIK,” J. Energi Elektr., vol. 7, no. 2, pp. 47–53, 2018.
  8. C. W. De Silva, Intelligent control: fuzzy logic applications. CRC press, 2018.
  9. G. Turesna, Z. Zulkarnain, and H. Hermawan, “Pengendali intensitas lampu ruangan berbasis Arduino UNO menggunakan metode fuzzy logic,” J. Otomasi Kontrol dan Instrumentasi, vol. 7, no. 2, p. 73, 2017.
  10. R. Dewi, “Efek Duty Cycle Pwm pada Pengendalian Kecepatan Motor BLDC 3 Phasa,” J. Electr. Power Control Autom., vol. 1, no. 1, pp. 14–19, 2018.
  11. A. Budijanto, “PENGATURAN KECEPATAN MOTOR DC PADA ROBOT LINE FOLLOWER MENGGUNAKAN PULSE WIDTH MODULATION (PWM),” in Seminar Nasional Sistem Informasi (SENASIF), 2018, vol. 2, no. 1, pp. 1162–1169.
  12. Y. Ferdiansyah and N. Hidayat, “Implementasi Metode Fuzzy-Tsukamoto Untuk Diagnosis Penyakit Pada Kelamin Laki Laki,” J. Pengemb. Teknol. Inf. dan Ilmu Komput. e-ISSN, vol. 2548, p. 964X, 2018.