Implementation of Fuzzy Logic Control Method for Automatic Feeding of Broiler Chickens Using Internet of Things Technology

  • Husyainus Sobri Teknologi Informasi, Universitas Jember
  • Yanuar Nurdiansyah Teknologi Informasi, Universitas Jember
  • Dwi Retno Istiyadi Teknologi Informasi, Universitas Jember
  • Ardian Infantono Prodi Teknik Aeronautika Pertahanan, Akademi Angkatan Udara, Yogyakarta, Indonesia https://orcid.org/0000-0002-0188-4819
Keywords: Broiler Chickens, Internet of Things Tecnology, Fuzzy Logic Control

Abstract

Implementation of Fuzzy Logic Control Method for Automatic Feeding of Broiler Chickens Using Internet of Things Technology; Husyainus Sobri, 172410102013, 2021, Information Technology Study Program, Faculty of Computer Science, University of Jember. Broiler chickens or also known as broilers are superior breeds resulting from crosses from chicken nations that have high productivity, especially in producing chicken meat. Broiler chickens are the result of cross-breeding and sustainable systems so that the genetic quality can be said to be good. Good genetic quality will appear optimally if the chicken is given supportive environmental factors, for example giving good feed so that chickens avoid death and lack of chicken weight. The use of technology in feeding chickens is an effective way to improve the quality of good chickens and avoid chicken mortality. The technology used can set the feeding time automatically and feed accordingly. To make technology work automatically, a decision-making method is needed. One suitable method is Fuzzy Logic Control. The Fuzzy Logic Control method can overcome the diversity of feeding parameters to make decisions.

Downloads

Download data is not yet available.

References

Adam, F., Masa, S., dan Riyan, N. 2018. Perancangan Sistem Kontrol Otomatis Lampu Menggunakan Metode Pengenalan Suara Berbasis Arduino.Jurnal TELKA Vol.2 No.2. Bandung: Universitas Sunan Gunung Djati.

Andi, A., dan Oka, H. 2013. Rancang Bangun Prototipe Elevator Menggunakan Microcontroller Arduino Atmega 328p.

Ross, Timothy J. 1995. Fuzzy Logic With Engineering Apllications. McGraw-Hill Publishing Company. New York

Andi, A., dan Oka, H. 2013. Rancang Bangun Prototipe Elevator Menggunakan Microcontroller Arduino Atmega 328p. Jurnal Teknologi Elektro ISSN : 20869479.

Thiang, R dan Wahyudi. 2000. Kendali Logika Fuzzy dengan Metode Defuzzifikasi

Dorteus Lodewyik, R. 2015. Penerapan Logika Fuzzy Metode Sugeno untuk Menentukan Jumlah Produksi Roti Berdasarkan Data Persediaan dan Jumlah Permintaan (Studi Kasus: Pabrik Roti Sarinda Ambon). Jurnal Ilmu Matematika dan Terapan Vol. 9 No. 2. Maluku: Universitas Pattimura.

Rezak, Dahnial &Hannats. 2015. Implementasi Metode Fuzzy SugenoPada Embedded SystemUntuk Mendeteksi Kondisi Kebakaran Dalam Ruangan. Jurnal Teknologi Informasi. Vol. 2 No. 2. Malang: Universitas Brawijaya
Published
2021-12-21
How to Cite
Sobri, H., Nurdiansyah, Y., Istiyadi, D., & Infantono, A. (2021). Implementation of Fuzzy Logic Control Method for Automatic Feeding of Broiler Chickens Using Internet of Things Technology. Prosiding Seminar Nasional Sains Teknologi Dan Inovasi Indonesia (SENASTINDO), 3, 179 - 190. https://doi.org/10.54706/senastindo.v3.2021.159

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.