PENERAPAN DATA MINING ALGORITMA K-MEANS CLUSTERING PADA POPULASI AYAM PETELUR DI INDONESIA
Chicken eggs are a type of egg that is easy to find and favored by many people. So that the community's need for chicken eggs is needed to meet the needs of animal protein sources and their daily nutrition. This study analyzes the application of the K-Means Clustering Algorithm Data Mining on the Layering Poultry Population in Indonesia. The source of data on the population of laying hens in Indonesia is obtained and collected through the website of the National Statistics Agency. The data used is from 2016-2020 which consists of 34 provinces. The data will be grouped into 3 clusters, namely high, medium, and low population clusters. Data processing is done manually in Microsoft Excel and assisted by data mining tools, namely Rapidminer and Orange. The results of the data processing show the same results, namely 1 province for the high population cluster, 3 provinces for the medium population cluster and 30 provinces for the low population cluster. The purpose of this study is for the government and breeders to pay more attention to the number of laying hens in Indonesia based on clusters that have been carried out to maintain a balance in the number and stability of egg prices in the community.
Aldi, “Kelayakan Finansial Usaha Peternakan Ayam Ras Petelur,” Pap. Knowl. . Towar. a Media Hist. Doc., pp. 12–26, 2018.
A. A. Hamzah, “Profil Komoditas Telur Ayam Ras,” 2020. .
M. Marsono, D. Saripurna, and M. Zunaidi, “Analisis Data Mining Pada Strategi Penjualan Produk PT Aquasolve Sanaria Dengan Menggunakan Metode K-Means Clustering,” J-SISKO TECH (Jurnal Teknol. Sist. Inf. dan Sist. Komput. TGD), vol. 4, no. 1, p. 127, 2021, doi: 10.53513/jsk.v4i1.60.
M. G. Sadewo, A. P. Windarto, and D. Hartama, “Penerapan Datamining Pada Populasi Daging Ayam Ras Pedaging Di Indonesia Berdasarkan Provinsi Menggunakan K-Means Clustering,” InfoTekJar (Jurnal Nas. Inform. dan Teknol. Jaringan), vol. 2, no. 1, pp. 60–67, 2017, doi: 10.30743/infotekjar.v2i1.164.
F. I. Manek, S. Faisal, and B. Priyatna, “Penerapan K-Means Clustering untuk Mengelompokkan Pelanggan Berdasarkan Data Penjualan Ayam,” Techno Xplore J. Ilmu Komput. dan Teknol. Inf., vol. 3, no. 2, pp. 88–93, 2018, doi: 10.36805/technoxplore.v3i2.820.
Badan Pusat Statistik, “Badan Pusat Statistik,” 2017. https://www.bps.go.id/linkTableDinamis/view/id/960.
V. Miralda, M. Zarlis, and E. Irawan, “Penerapan Metode K-Means Clustering Untuk Daging Ayam Buras,” Build. Informatics, Technol. Sci., vol. 2, no. 2, pp. 91–98, 2020, doi: 10.47065/bits.v2i2.493.
S. Rustam, “Penerapan Optimasi Jumlah Kluster Pada Kmeans Untuk Pengelompokan Kelas Mata Kuliah Kosentrasi Mahasiswa Semester Akhir,” Simtek J. Sist. Inf. dan Tek. Komput., vol. 5, no. 1, pp. 1–5, 2020, doi: 10.51876/simtek.v5i1.64.
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