Associate Professor Tutut Herawan, PhD STIKOM Tunas Bangsa, Pematangsiantar North Sumatera, Indonesia Web of Science ResearcherID: AAB-6534-2021 Scopus ID: 35085139400
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About The Authors
Siti Nurmila Saragih Mahasiswa STIKOM Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia Indonesia
M Safii AMIK Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia Indonesia
Dedi Suhendro AMIK Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia Indonesia
Implementasi Metode K-Means pada Hasil Produksi Daging Jenis Ternak
Siti Nurmila Saragih(1*), M Safii(2), Dedi Suhendro(3),
(1) Mahasiswa STIKOM Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia (2) AMIK Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia (3) AMIK Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia (*) Corresponding Author
Abstract
Meat production results should have good quantity and quality. To increase meat production, of course it is necessary to look at healthy types of livestock. Meat continues to increase in line with the increase in population, community income, education, standard of living and awareness of the nutritional value of animal production. The need for livestock meat production is one of the driving factors for the economy in Indonesia. This research can provide and input to the local government which is the leading producer of meat for the type of livestock in North Sumatra province and as a basis for making policies to increase meat production for other provinces. The method used in this research is the K-Means Algorithm. Where K-Means is one of the Algorithms in Data Mining that can be used to group data clusters. So that the data from 33 districts / cities will be divided into 2 clusters where cluster 1 is the high group, while cluster 2 is the low group. The results obtained from the study show that the results of manual calculation Algorithms and Microsoft Excel data have the same value, namely high cluster 1 and low cluster 32, and entering Microsoft Excel calculations into rapidminer has the same value as well
R. Setiawan And N. Tes, “Penerapan Data Mining Menggunakan Algoritma K-Means Clustering Untuk Menentukan Strategi Promosi Mahasiswa Baru ( Studi Kasus : Politeknik Lp3i Jakarta ),” Vol. 3, No. 1, Pp. 76–92, 2016.
N. Lihayati, R. E. Pawening, And M. Furqan, “Klasifikasi Jenis Daging Berdasarkan Tekstur Menggunakan Metode Gray Level Coocurent Matrix,” Pros. Sentia, Vol. 8, No. 1994, Pp. 305–310, 2016.
E. F. Anggara, T. W. Widodo, And D. Lelono, “Deteksi Daging Sapi Menggunakan Electronic Nose Berbasis Bidirectional Associative Memory,” Ijeis (Indonesian J. Electron. Instrum. Syst., Vol. 7, No. 2, P. 209, 2017, Doi: 10.22146/Ijeis.25489.
R. Novianto, “Penerapan Data Mining Menggunakan Algoritma K-Means Clustering Untuk Menganalisa Bisnis Perusahaan Asuransi,” Jatisi (Jurnal Tek. Inform. Dan Sist. Informasi), Vol. 6, No. 1, Pp. 85–95, 2019, Doi: 10.35957/Jatisi.V6i1.150.
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