Klasifikasi Tingkat Keberhasilan Produksi Ayam Broiler di Riau Menggunakan Algoritma Naïve Bayes

 Syahbudin Hamwar (Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia)
 (*)Alwis Nazir Mail (Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia)
 Siska Kurnia Gusti (Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia)
 Iwan Iskandar (Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia)
 Fitri Insani (Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia)

(*) Corresponding Author

Submitted: November 24, 2023; Published: December 22, 2023

Abstract

Livestock is becoming one of the important animal protein source providers, along with the fisheries sector, to meet the protein needs of the community at large. One type of livestock business that is popular is the maintenance of broiler chickens because of the potential for meat yield. Today, many breeders run a partnership pattern with large companies where breeders play the role of the main supplier and the company as the core. This step helps maintain the stability of production and income of farmers. The success of farmers in broiler chicken production can be measured by looking at the performance index (IP), if the performance is not good then coaching from the core company is needed. The large amount of data obtained from farmers makes it difficult for core companies to model the success rate of farmer production, this can make it difficult for core companies to choose farmers who need coaching. The application of data mining methods using the Naïve Bayes algorithm classification model has the potential to provide solutions to this problem. The purpose of this study was to predict how much success rate of broiler chicken production in Riau region by utilizing the Naïve Bayes Classifier algorithm. This study utilizes a production data set involving 952 broiler chicken farmers in Riau, with 3 scenarios dividing the data ratio of 90:10, 80:20, and 70:30. The results of the analysis showed that through the evaluation of the confusion matrix, it was best found in a data ratio of 90:10 with accuracy results reaching 89,58%, precision reaching 89,89%, and recall reaching 90,16%.

Keywords


Broiler Chicken; Data Mining; Production Success; Classification; Naïve Bayes

Full Text:

PDF


Article Metrics

Abstract view : 233 times
PDF - 58 times

References

E. D. Putri, C. Cepriadi, And F. Restuhadi, “Analysis Of Production Efficiency Broiler Chicken Farm On Pattern Partnership Of Contract Farming In Kampar District,” J. Agribus. Community Empower., Vol. 3, No. 1, Pp. 60–70, 2020, Doi: 10.32530/Jace.V3i1.94.

M. A. Ngaku, E. Marhaeniyanto, And A. T. Murti, “Analisis Kelayakan Usaha Ayam Pedaging Pola Kemitraan Dan Pola Mandiri Di Kecamatan Dau Kabupaten Malang (Studi Kasus Di Desa Gang Siranputuk Desa ….” 2021, [Online]. Available:Http://Rinjani.Unitri.Ac.Id/Handle/071061/481%0ahttp://Rinjani.Unitri.Ac.Id/Bitstream/Handle/071061/481/Maria Alfonsa Ngaku-Pdf.Pdf?Sequence=2&Isallowed=Y.

D. Maryani, E. Herawati, T. Kusmayadi, T. Rohayati, And T. Nurhayatin, “Analisis Faktor Pendorong Minat Masyarakat Terhadap Usaha Peternakan Ayam Broiler Dengan Pola Kemitraan Di Kecamatan Karangpawitan Kabupaten Garut,” Janhus J. Ilmu Peternak. J. Anim. Husb. Sci., Vol. 5, No. 1, P. 98, 2020, Doi: 10.52434/Janhus.V5i1.1117.

J. Jojo, H. Harianto, R. Nurmalina, And D. B. Hakim, “Integrasi Pasar Ayam Broiler Di Sentra Produksi Dan Pasar Indonesia,” J. Pangan, Vol. 30, No. 1, Pp. 31–44, 2021, Doi: 10.33964/Jp.V30i1.526.

Bps, “Produksi Daging Ayam Ras Pedaging Menurut Provinsi (Ton), 2020-2022,” Badan Pusat Statistik, 2022. Https://Www.Bps.Go.Id/Indicator/24/488/1/Produksi-Daging-Ayam-Ras-Pedaging-Menurut-Provinsi.Html (Accessed Nov. 22, 2022).

Sri Ayu Kurniati And Sisca Vaulina, “Analisis Ekonomi Peternakan Ayam Broiler Di Kota Pekanbaru,” Din. Pertan., Vol. 37, No. 3, Pp. 267–272, 2022, Doi: 10.25299/Dp.2021.Vol37(3).8936.

N. A. Setianto And V. Armelia, “Analisis Ekonomi Peternakan Ayam Broiler Pada Perusahaan Kemitraan Di Kabupaten Kebumen Provinsi Jawa Tengah Economic Analysis Of Broiler Farming Under Company-Farmer Integration Partnership In Kabupaten Kebumen, Central Java Province,” J. Ilmu Dan Teknol. Peternak. Trop., Vol. 9, No. 1, Pp. 287–292, 2022, Doi: 10.33772/Jitro.V9i1.20604.

A. Amam, “Sebuah Evaluasi Keberhasilan Usaha Ternak Ayam Broiler Sistem Kemitraan Inti Plasma,” J. Pangan, Vol. 31, No. 3, 2022, Doi: 10.33964/Jp.V31i3.608.

C. B. D. P. Mahardika, W. Y. Pello, And M. Pallo, “Performa Usaha Kemitraan Ayam Ras Pedaging,” Partner, Vol. 25, No. 1, P. 1270, 2020, Doi: 10.35726/Jp.V25i1.450.

H. Setiawan, “Indikator Keberhasilan Usaha Peternakan Ayam Broiler,” Agroindustrie, 2020. Https://Www.Agroindustrie.Id/2020/03/Indikator-Keberhasilan-Usaha-Peternakan.Html (Accessed Nov. 12, 2022).

P. M. Z. A. J., I. W. Sukanata, And M. Wirapartha, “Analysis Of Production Performance And Financial Viability Of A Broiler Chicken Farming Business In A Closed House System (Case Study At Ud. Pande In Pejeng Village, Tampaksiring Sub-District, Gianyar District),” Maj. Ilm. Peternak., Vol. 24, No. 3, P. 105, 2021, Doi: 10.24843/Mip.2021.V24.I03.P01.

A. Aziiz, H. Kirono, I. Asror, Y. Firdaus, And A. Wibowo, “Klasifikasi Tingkat Kualitas Udara Dki Jakarta Menggunakan Algoritma Naive Bayes,” Eproceedings …, Vol. 9, No. 3, Pp. 1962–1969, 2022, [Online]. Available: Https://Openlibrarypublications.Telkomuniversity.Ac.Id/Index.Php/Engineering/Article/View/18002%0ahttps://Openlibrarypublications.Telkomuniversity.Ac.Id/Index.Php/Engineering/Article/View/18002/17631.

P. S. Zakaria, R. Julianto, And R. S. Bernada, “Implementasi Naive Bayes Menggunakan Python Dalam Klasifikasi Data,” Bul. Ilm. Ilmu Komput. Dan Multimed., Vol. 1, No. 1, Pp. 126–131, 2023, [Online]. Available: Https://Jurnalmahasiswa.Com/Index.Php/Biikma/Article/View/124.

A. Basit, “Implementasi Algoritma Naive Bayes Untuk Memprediksi Hasil Panen Padi,” J. Tek. Inform. Kaputama 2020, Vol. 4, No. 2, Pp. 208–213, 2020.

D. Gustian, “Sistem Pakar Sistem Pakar Dengan Algoritma Naive Bayes Untuk Prediksi Hasil Produksi Ayam Broiler Plasma (Studi Kasus : Pt.Sekawan Sinar Surya),” J. Ris. Sist. Inf. Dan Teknol. Inf., Vol. 1, No. 3, Pp. 31–42, 2019, Doi: 10.52005/Jursistekni.V1i3.12.

H. F. Putro, R. T. Vulandari, And W. L. Y. Saptomo, “Penerapan Metode Naive Bayes Untuk Klasifikasi Pelanggan,” J. Teknol. Inf. Dan Komun., Vol. 8, No. 2, 2020, Doi: 10.30646/Tikomsin.V8i2.500.

A. Aqillah Fadia Haya, Reynaldi Azhar, Muhamad Khandava Mulyadien, And Betha Nurina Sari, “Klasifikasi Minat Beli Pelanggan Terhadap Udang Vaname Menggunakan Algoritma Naïve Bayes,” J. Ilm. Betrik, Vol. 13, No. 1, Pp. 59–65, 2022, Doi: 10.36050/Betrik.V13i1.452.

A. Firdaus, M. Walid, And Anwari, “Klasifikasi Kasus Covid-19 Menggunakan Model Naive Bayes Classifier,” Jati J. Mhs. Tek. Inform., Vol. 6, No. 2, Pp. 583–588, 2022, [Online]. Available: Https://Ejournal.Itn.Ac.Id/Index.Php/Jati/Article/View/5333/3371.

S. Linawati Et Al., “Perbandingan Algoritma Klasifikasi Naive Bayes Dan Svm,” J. Swabumi, Vol. 8, No. 1, Pp. 71–75, 2020.

S. J. S. Tyas, M. Febianah, F. Solikhah, A. L. Kamil, And W. A. Arifin, “Analisis Perbandingan Algoritma Naive Bayes Dan C.45 Dalam Klasifikasi Data Mining Untuk Memprediksi Kelulusan,” J. Teknol. Inf. Dan Komun., Vol. 8, No. 1, Pp. 86–99, 2021, [Online]. Available: Https://Jurnal.Plb.Ac.Id/Index.Php/Tematik/Article/View/576/365.

Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Klasifikasi Tingkat Keberhasilan Produksi Ayam Broiler di Riau Menggunakan Algoritma Naïve Bayes

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Alwis Nazir, Syahbudin Hamwar, Siska Kurnia Gusti, Iwan Iskandar, Fitri Insani

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Jurnal Sistem Komputer dan Informatika (JSON)
Dikelola oleh STMIK Budi Darma
Sekretariat : Jln. Sisingamangaraja No. 338 Telp 061-7875998
email : jurnal.json@gmail.com


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.