Estimasi Hasil Panen Ayam Pedaging Menggunakan Algoritma Regresi Linear Berganda


Authors

  • Ahyani Junia Karlina Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
  • Muhammad Irsyad Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
  • Fitri Insani Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
  • Jasril Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
  • Eka Pandu Cynthia Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia

DOI:

https://doi.org/10.30865/klik.v3i6.920

Keywords:

Data Mining; Estimation; Chickens; Multiple Linear Regresion

Abstract

Data mining is the process of collecting and managing information that aims to extract important data from data. Currently data mining is used by companies to manage data but there are still many companies engaged in the livestock sector that have not used data mining to manage data. One of these companies is PT.PX which is a broiler company located in Riau, precisely in Sungai Pagar. The ever-increasing need for broiler chickens makes it difficult for chicken breeders to produce chicken according to market demand in each period. Unpredictable demand for broiler chickens makes breeders confused to determine how many chicks to produce. PT.PX still manages data using Microsoft Excel so the process is still very long and it is not certain to get accurate results. PT.PX also does not have a system for predicting broiler yields to find out how many chicken populations there will be in the next period. The existence of this data mining can help breeders to find out the number of populations to be produced for the next period. In predicting broiler yields, estimation methods can be used using multiple linear regression algorithms. Multiple linear regression was used to determine the relationship between feed, weight and age of chickens and chicken population. The information used in this research is information on harvested chickens obtained from 2019 to 2022. The results of multiple linear regression calculations at PT.PX obtained broiler yields of 12,217 populations

Downloads

Download data is not yet available.

References

M. Lase, D. Saripurna, and V. W. Sari, “Estimasi Penjualan Ice Cream Walls Menggunakan Metode Regresi Linear Berganda,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 1, no. 5, p. 625, 2022, doi: 10.53513/jursi.v1i5.5146.

K. Erwansyah and J. Halim, “Penerapan Data Mining Untuk Mengestimasi Penjualan Udang Tambak Dengan Metode Regresi Linier Berganda Pada UD. Tambak Kusuma Jaya Pangkalan Susu,” J. Cyber Tech, no. April, 2022, [Online]. Available: https://ojs.trigunadharma.ac.id/index.php/jct/article/view/611%0Ahttps://ojs.trigunadharma.ac.id/index.php/jct/article/download/611/1187

S. Depi Napitupulu, P. Sari Ramdhan, M. Iswan Perangin-angin, P. Studi Mahasiswa, S. Triguna Dharma, and P. Studi Dosen Pembimbing, “Implementasi Data Mining Untuk Mengestimasi Penjualan Barang Pada Store Perlengkapan Camping Dengan Menggunakan Metode Regresi Linier Berganda,” J. CyberTech, vol. 1, no. 2, pp. 307–314, 2018, [Online]. Available: https://ojs.trigunadharma.ac.id/

R. Somya, A. Ardaneswari, D. A. Saputro, and H. D. Purnomo, “Perancangan Sistem Pemantauan Pertumbuhan Ayam Pada Peternakan Ayam Broiler Dengan Pola Kemitraan,” Semin. Nas. Teknol. Inf. dan Multimed. 2015, pp. 1–5, 2015.

R. H. Fani et al., “26957-75676590763-2-Pb,” vol. 6, no. 4, pp. 150–156, 2018.

R. Ratnasari, W. Saregat, and A. Setiadi, “Analisis Pendapatan Peternak Ayam Broiler Pada Sistem Kemitraan Di Kecamatan Gunung Pati Kota Semarang,” Ejournal3.Undip.Ac.Id, vol. 4, no. April, p. 49, 2015.

K. D. Ariani, “Penerapan Algoritma Regresi Linier Berganda pada Data Pabrik Gula Rendeng Kudus,” Fak. Ilmu Komput. UDINUS, no. 5, 2015.

T. N. Padilah and R. I. Adam, “Analisis Regresi Linier Berganda Dalam Estimasi Produktivitas Tanaman Padi Di Kabupaten Karawang,” FIBONACCI J. Pendidik. Mat. dan Mat., vol. 5, no. 2, p. 117, 2019, doi: 10.24853/fbc.5.2.117-128.

P. Purwadi, P. S. Ramadhan, and N. Safitri, “Penerapan Data Mining Untuk Mengestimasi Laju Pertumbuhan Penduduk Menggunakan Metode Regresi Linier Berganda Pada BPS Deli Serdang,” J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. 18, no. 1, p. 55, 2019, doi: 10.53513/jis.v18i1.104.

E. L. Putri, Y. H. Syahputra, and G. Syahputra, “Implementasi Data Mining Untuk Mengestimasi Penjualan Masker Alfamask Menggunakan Metode Regresi Linear Berganda,” J. Cyber Tech, vol. 2019, no. x, 2019, [Online]. Available: https://ojs.trigunadharma.ac.id/index.php/jct/article/view/2951%0Ahttps://ojs.trigunadharma.ac.id/index.php/jct/article/viewFile/2951/1452

T. Di and K. Rembang, “Penerapan Algoritma Linier Regression Untuk Jagung Terhadap Curah Hujan Dan Area Tambah,” 2014.

E. Rahayu, I. Parlina, and Z. A. Siregar, “Penerapan Algoritma Regresi Linier Berganda Pada Estimasi Penjualan Sepeda Motor Application of Multiple Linear Regression Algorithm for Motorcycle …,” Jupiter, vol. 1, no. 1, 2022, [Online]. Available: https://scholar.archive.org/work/plqwsgcymvb7nfq5uzq6npiuou/access/wayback/https://journal.literasisains.id/index.php/jomlai/article/download/142/29

R. A. Samosir, M. F. Rozy, and A. P. Windarto, “Penerapan Algoritma Regresi Linier Berganda dalam Mengestimasi Jumlah Perceraian di Pengadilan Agama Simalungun,” TIN Terap. Inform. Nusant., vol. 2, no. 1, pp. 16–20, 2021, [Online]. Available: https://ejurnal.seminar-id.com/index.php/tin

E. Duha, D. Rahmadiansyah, and ..., “Implementasi Data Mining Dalam Mengestimasi Hasil Penjualan Menggunakan Algoritma Regresi Linear Berganda,” J. Sist. Inf. …, vol. 1, pp. 480–486, 2022, [Online]. Available: https://ojs.trigunadharma.ac.id/index.php/jsi/article/view/5353%0Ahttps://ojs.trigunadharma.ac.id/index.php/jsi/article/viewFile/5353/1048

A. A.-F. Nur Wahyudin, A. Primajaya, and A. S. Y. Irawan, “Penerapan Algoritma Regresi Linear Berganda Pada Estimasi Penjualan Mobil Astra Isuzu,” Techno.Com, vol. 19, no. 4, pp. 364–374, 2020, doi: 10.33633/tc.v19i4.3834.

Y. Warih, Eggy Inaidi Andana; Rahayu, “Penerapan Data Mining untuk Menentukan Estimasi Produktivitas Tanaman Tebu dengan Menggunakan Algoritma Linear Regresi Berganda di Kabupaten Rembang,” Informatika, pp. 1–5, 2014.

F. Sembiring, H. Winata, and R. Kustini, “… Mining Untuk Mengestimasi Perbandingkan Keuntungan Antara Tanaman Jeruk dan Kopi di Desa Kutambelin Menggunakan Algoritma Regresi Linear Berganda,” J. Cyber Tech, vol. 1, no. 4, pp. 1–16, 2018, [Online].

A. Fikri, “Penerapan Data Mining Untuk Mengetahui Tingkat Kekuatan Beton Yang Dihasilkan Dengan Metode Estimasi Menggunakan Linear Regression,” Fak. Ilmu Komput. UDINUS, pp. 1–12, 2013.

G. N. Ayuni and D. Fitrianah, “Penerapan metode Regresi Linear untuk prediksi penjualan properti pada PT XYZ,” J. Telemat., vol. 14, no. 2, pp. 79–86, 2019, [Online]. Available: https://journal.ithb.ac.id/telematika/article/view/321

A. Fitri Boy, “Implementasi Data Mining Dalam Memprediksi Harga Crude Palm Oil (CPO) Pasar Domestik Menggunakan Algoritma Regresi Linier Berganda (Studi Kasus Dinas Perkebunan Provinsi Sumatera Utara),” J. Sci. Soc. Res., vol. 4307, no. 2, pp. 78–85, 2020, [Online]. Available: http://jurnal.goretanpena.com/index.php/JSSR


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Estimasi Hasil Panen Ayam Pedaging Menggunakan Algoritma Regresi Linear Berganda

Dimensions Badge

ARTICLE HISTORY


Published: 2023-06-24
Abstract View: 370 times
PDF Download: 305 times

Issue

Section

Articles