PENGENDALIAN KECEPATAN ANGIN UNTUK KENDALI SUHU PADA PETERNAKAN AYAM DI PT VSA

Authors

  • Setyawan Ajie Sukarno Politeknik Manufaktur Bandung
  • Adhit Satyaka Politeknik Manufaktur Bandung
  • Dodi Sopana Politeknik Manufaktur Bandung
  • Isbail Ichsan M. Politeknik Manufaktur Bandung
  • Nur Iqbal Hidayatullah Politeknik Manufaktur Bandung

DOI:

https://doi.org/10.5281/zenodo.14241882

Keywords:

Control System, Fuzzy Logic, Labview, Controllino, Chicken farm

Abstract

In this era, the technology development is increasing rapidly. Especially in the field of control systems. One of the development is a controlling method known as fuzzy logic control. This method applies a simple system with reliable output. Control systems applied in various fields, including in livestock industry. In livestock industry, one of the largest end product is eggs. Eggs are a commodity that cannot be separated from everyday life. To get high quality eggs, laying hens in their cages must be kept in certain condition so they are relaxed and comfortable. One of the influencing factors is the temperature in the cage. High temperature in the chicken coop can make the chickens stressed out and uncomfortable. Based on this, a control system is made to regulate the level of temperature and air circulation in the chicken coop. The system uses temperature, humidity and wind speed sensors which control a fan motor speed. This system is built using Controllino and Labview as the main controls which implement a fuzzy control system. The results of this study are the level of accuracy of the application of the fuzzy method in controlling the temperature of the chicken coop.

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References

[1] P. Oriesta, A. Harmayanda, D. Rosyidi, and O. Sjofjan. (2016). Evaluasi Kualitas Telur Dari Hasil Pemberian Beberapa Jenis Pakan Komersial Ayam Petelur, J-PAL, vol. 7, no. 1, 2016. https://jpal.ub.ac.id/index.php/jpal/article/view/213

[2] C. G. N. Putra, R. Maulana, H. Fitriyah. (2018). Otomasi kandang dalam rangka meminimalisir heat stress pada ayam broiler dengan metode Naive Bayes. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer. Vol. 2, No. 1, hlm. 387-394, 2018. https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/831

[3] I. M. S. Yasa, I. K. Darminta, I. K. Ta. (2019). Kontrol heat stress index ruangan ayam broiler pada periode brooding secara otomatis berbasis Arduino-Uno. Jurnal Poli-Teknologi. scholar.archive.org; 2019. http://dx.doi.org/10.32722/pt.v18i2.1433

[4] E. Wiedosari, S. Wahyuwardani. (2015). Studi kasus penyakit ayam pedaging di Kabupaten Sukabumi dan Bogor. Jurnal Kedokteran Hewan, Vol. 9, No. 1, 2015. https://doi.org/10.21157/j.ked.hewan.v9i1.2777

[5] A. P. Junfithrana, I. H. Kusumah, A. Suryana, Edwinanto, M. Artiyasa, A. D. Wibowo. (2019). Identifikasi Gas terlarut Minyak Transformator dengan Menggunakan Logika Fuzzy Menggunakan Metode TDCG untuk Menentukan Kondisi Transformator 150 KV, Fidelity, vol. 1, no. 1, pp. 11-15, 2019. https://doi.org/10.52005/fidelity.v1i1.122

[6] A. A. Sri Hardini, I. N. S. Wijaya, and D. A. Setyono. (2022). Penilaian Tingkat Keberlanjutan Ekonomi Kampung Industri Di Kota Malang Dengan Pendekatan Logika Fuzzy, Jurnal Tata Kota dan Daerah (TAKODA), vol. 14, no. 1, pp. 9–20, Aug. 2022. https://doi.org/10.21776/ub.takoda.2022.014.01.2

[7] D. E. H. Purnomo, Y. A. Sunardiansyah, A. N. Fariza. (2020). Penerapan Metode Fuzzy Tsukamoto dalam Membantu Perencanaan Persediaan Bahan Baku Kayu pada Industri Furnitur. Industry Xplore, Vol 5 No 2, 2020. https://doi.org/10.36805/teknikindustri.v5i2.1125

[8] I. H. Lahay, H. Hasanuddin, J. D. Giu, M. G. Bawole. (2023). Penentuan Grade Kopra Dengan Penerapan Metode Logika Fuzzy. Jambura Journal of Electrical and Electronics Engineering, Vol 5, No 1, 2023. https://doi.org/10.37905/jjeee.v5i1.17073

[9] T. U. Azmi, H. Haryanto, T. Sutojo. (2018). Prediksi Jumlah Produksi Jenang di PT Menara Jenang Kudus Menggunakan Metode Logika Fuzzy Tsukamoto. Sisfotenika, Vol 8, No 1, 2018. http://dx.doi.org/10.30700/jst.v8i1.176

[10] A. A. Pratama, A. Rusdinar, and B. Setiadi. (2015). Perancangan Dan Realisasi Prototype Sistem Kontrol Otomatis Untuk Kandang Anak Ayam Menggunakan Metode Logika Fuzzy (Pemberi Pakan, Conveyor Berjalan, Kendali Suhu Dan Kelembaban). Universitas Telkom, Skripsi, 2015. https://openlibrary.telkomuniversity.ac.id/pustaka/100425/perancangan-dan-realisasi-prototype-sistem-kontrol-otomatis-untuk-kandang-anak-ayam-menggunakan-metode-logika-fuzzy-pemberi-pakan-conveyor-berjalan-kendali-suhu-dan-kelembaban-.html

[11] A. F. Tasidjawa, I. P. Saputro, and T. Ch. Suwanto. (2018). Penerapan Fuzzy Logic Tsukamoto Untuk Penentuan Suhu Ideal Pada Kandang Ayam Boiler, Jurnal REALTECH, vol. 14, no. 1, pp. 42–48, Apr. 2018. https://repo.unikadelasalle.ac.id/335/

[12] D. Y. Darmawi, G. W. Nurcahyo, and S. Sumijan. (2020). Fuzzy Sistem Fuzzy Menggunakan Metode Sugeno Dalam Akurasi Penentuan Suhu Kandang Ayam Pedaging, Jurnal Informasi dan Teknologi, Sep. 2020, doi: https://doi.org/10.37034/jidt.v3i2.95

[13] D. Somwanshi, M. Bundele, G. Kumar, G. Parashar. (2019). Comparison of fuzzy-PID and PID controller for speed control of DC motor using LabVIEW. Procedia Computer Science, Vol 152, Pages 252-260, 2019. https://doi.org/10.1016/j.procs.2019.05.019

[14] A. Rai, D. K. Das and M. M. Lotha. (2019). LabVIEW Platform based Real-time Speed Control of a DC Servo Motor With Fuzzy-PI Controller, 2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON), Aligarh, India, 2019, pp. 1-4, doi: https://doi.org/10.1109/UPCON47278.2019.8980036.

[15] J. Buele,J. Espinoza, M. Pilatasig, F. Silva, A. Chuquitarco, J. Tigse, J. Espinosa, L. Guerrero. (2018). Interactive System for Monitoring and Control of a Flow Station Using LabVIEW. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. 2018. https://doi.org/10.1007/978-3-319-73450-7_55.

[16] Controllino. “Controllino Mega – Controllino.” https://www.controllino.com/product/controllino-mega/ (accessed Feb. 03, 2022).

[17] I. Larasati, N. Y. D. Setyaningsih, M. Iqbal, Sistem Kendali Suhu Penetas Telur Ayam Berbasis Java dan Fuzzy Logic Control. Simetris: Jurnal Teknik Industri, Mesin Elektro dan Ilmu Komputer, Vol 10, No 1, 2019. https://doi.org/10.24176/simet.v10i1.2826

[18] A. A. Kasim, R. Maulana, G. E. Setyawan. Implementasi Otomasi Kandang dalam Rangka Meminimalisir Heat Stress pada Ayam Broiler dengan Metode Fuzzy Sugeno. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, Vol. 3, No. 2, hlm. 1403-1410, 2019. https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/4388

[19] R. E. Juwita, A. Selao, A. Menentukan Volume Produksi Ayam Dengan Memilih Pakan Ayam Menggunakan Metode Sugeno. Jurnal Sintaks Logika, Vol 2, No 3, 2022. https://doi.org/10.31850/jsilog.v2i3.1849

[20] D. Kurnia, J. Hendrawan. (2018). Perancangan Dan Penerapan Sistem Pengering Ikan Otomatis Menggunakan Logika Fuzzy Pada Mikrokontroller Atmega32a. Seminar Nasional Sains dan Teknologi Informasi (SENSASI), 2018. https://ijcoreit.org/index.php/coreit/article/view/73

[21] K. I. Ghozzali, Kurniawan, Taufiqurrahman, Taufik, W. T. Sesulihatien, Wahyu, R. T. Widodo, Rusminto. (2011). Perancangan Komunikasi Data Terintegrasi Pada Programmable Logic Controller Via Contoller Link Network Dan Ethernet Device, Surabaya, 2011. http://repo.pens.ac.id/id/eprint/1319

Published

2024-11-29

How to Cite

Sukarno, S. A., Satyaka, A., Sopana, D., Ichsan M., I., & Hidayatullah, N. I. (2024). PENGENDALIAN KECEPATAN ANGIN UNTUK KENDALI SUHU PADA PETERNAKAN AYAM DI PT VSA. MACHINERY Jurnal Teknologi Terapan, 5(3), 193–202. https://doi.org/10.5281/zenodo.14241882

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