Implementasi Algoritma C 5.0 Pada Analisa Data Potensi Pertanian dan Perternakan
The problems faced in UPPT in each region in the form of productive land changing functions into residential areas, industries, and business centers can result in a lack of land area for farming and livestock and bad weather conditions. One way to analyze the data is to apply or use data mining techniques. Where data mining is the process of analyzing large data into information to determine the pattern of the conclusions of the data being analyzed. The application of the C. 50 method which will later explore existing data and will form a decision tree, By analyzing the data on agricultural and livestock potential, the UPPT provides counseling in which areas are the types of farming and livestock business so that it does not have an impact on people's income and also reduces losses in trying to farm and raise livestock
Ridawati Manik, Pristiwanto, and Kennedi Tampubolon, "Prediksi Kolektibilitas Kredit Anggota Dengan Algoritma C5.0 (Studi Kasus: CU Damai Sejahtera Medan)," Jurnal Riset Komputer (JURIKOM), vol. 5, no. 2, pp. 151-160, 2018.
Eko Prasetyo, Data Mining Konsep dan Aplikasi Menggunakan Matlab, 1st ed., Nikodemus WK, Ed. Yogyakarta: CV. Andi Offset, 2012
Eko Prasetyo, Data Mining Mengolah Data Menjadi Informasi Dengan Menggunakan MATLAB. Yogyakarta: CV. Andi Offset, 2014.
Kamus Besar Bahasa Indonesia. [Online]. https://kbbi.kata.web.id/pertanian/ [Accessed 18 Mei 2019]
[Online]. Available: http://www.pengertianku.net/2016/04/pengertian-pertanian-secara-umum.html. [Accessed 10 Mei 2019]
"Kamus Besar Bahasa Indonesia," [Online]. Available:https://kbbi.kata.web.id/perternakan/. [Accessed 18 Mei 2019]
B. S. D. Oetomo, Perencanaan dan Pengembangan Sistem Informasi, Yogyakarta: CV. Andi Offset, 2002.
A. Preantoko, Jago Microsoft Excel 2010, Jakarta: Kawan Pustaka, 2010.
D. Aprilla D. A. Baskoro, L. Ambarwati, and I. W.S. Wicaksana, Belajar Data Mining Dengan Rapid Miner., 2013.
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