DATA MINING IMPLEMENTATION FOR PRINTER SALES PREDICTION USING NAIVE BAYES METHOD AT RCA COMPUTER STORE KISARAN

Rahayu Mayang Sari, Yori Apridonal M

Abstract


Sales is an important element in business, for the sake of the smooth running of the business is expected to smooth sales and get large profits. The RCA Computer store is one of the computer shops engaged in the sale of printers in the city of Kisaran. Because of the current co-19 pandemic that hit the RCA Computer Range Store can not predict printer sales in the future. Data mining is one of the many fields of science that is growing rapidly, where data mining is able to process large data into information. Naïve Bayes predicts future opportunities based on past experience. The results of this study the Naive Bayes method can make predictions from printer sales data and provide the highest number of printer type predictions from the highest value of the type of printer based on brand attributes, type attributes, and payment attributes

Keywords: data mining; naïve bayes; prediction; printer sales


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References


R. M. Sari, V. Tasril, and Y. A. M, “Prediksi Jumlah APBD Kota Payakumbuh dengan Metode K-Means,” IPTEKS Terap., vol. 14, pp. 45–50, 2020.

Y. Apridonal M, “PENERAPAN DATA MINING MENGGUNAKAN METODE ASSICIATION RULE DENGAN ALGORITMA APRIORI UNTUK ANALISA POLA PENJUALAN BARANG,” JURTEKSI, vol. V, no. 2, pp. 193–198, 2019.

S. Syarli and A. Muin, “Metode Naive Bayes Untuk Prediksi Kelulusan (Studi Kasus: Data Mahasiswa Baru Perguruan Tinggi),” J. Ilm. Ilmu Komput., vol. 2, no. 1, pp. 22–26, 2016.

M. Sabransyah, Y. N. Nasution, and F. D. T. Amijaya, “Aplikasi Metode Naive Bayes dalam Prediksi Risiko Penyakit Jantung,” J. EKSPONENSIAL, vol. 8, no. 2, pp. 111–118, 2017.

B. M. Atmega, “Jurnal Momentum ISSN : 1693-752X PERANCANGAN TRAFFIC LIGHT Jurnal Momentum ISSN : 1693-752X,” vol. 17, no. 1, pp. 1–7, 2015.

N. Fauziah, S. Wahyuningsih, and Y. N. Nasution, “Peramalan Mengunakan Fuzzy Time Series Chen ( Studi Kasus : Curah Hujan Kota Samarinda ),” Statistika, vol. 4, no. 2, 2016.

A. Atina, “Aplikasi Matlab pada Teknologi Pencitraan Medis,” J. Penelit. Fis. dan Ter., vol. 1, no. 1, p. 28, 2019.

I. Yuliastuti, L. Rahmasari, and R. -, “Pembuatan Aplikasi Program Matlab untuk Menganalisa Sifat Lasing Kaca TZBN Yang Didadah Ion Nd3+ sebagai Bahan Material Host Laser (Halaman 97 s.d. 102),” J. Fis. Indones., vol. 18, no. 54, pp. 97–102, 2015.

Y. H. Hui et al., “PENERAPAN ALGORITMA NAIVE BAYES UNTUK MEMPREDIKSI JUMLAH PRODUKSI BARANG BERDASARKAN DATA PERSEDIAAN DAN JUMLAH PEMESANAN PADA CV. PAPADAN MAMA PASTRIES. Volume 1.,” J. Mantik Penusa, vol. 1, no. 2, pp. 16–21, 2017,

R. B. Purnama, “Perancangan Prediksi Untuk Menentukan Indeks Harga Saham Menggunakan Jaringan Syaraf Tiruan,” Kinetik, vol. 2, no. 2, p. 125, 2017.




DOI: https://doi.org/10.33330/icossit.v1i1.776

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