Penerapan Algoritma Naïve Bayes Untuk Perhitungan Nilai Point Of Sales (Pos) Dari Penjualan Produk Fashion (Studi Kasus : CV. Sumber Makmur)

 (*)Popi Ariska Mail (Universitas Budi Darma, Medan, Indonesia)
 Nelly Astuti Hasibuan (Universitas Budi Darma, Medan, Indonesia)
 Bister Purba (Universitas Budi Darma, Medan, Indonesia)

(*) Corresponding Author

DOI: http://dx.doi.org/10.30865/komik.v4i1.2717

Abstract

Competition in the business world has created stiff competition between agencies and each other. Because of the high level of sales of fashion products, it can provide benefits for the company. Therefore, the company should be able to determine policies related to sales activities conducted by the company. The problem facing the Company in the sales process is that, less early on the company handles the problems that exist in sales because the company can not predict the ups and downs of sales, resulting in the ons and outs of capital and the buildup of goods resulting in losses on the Company. Naïve Bayes algorithm to provide solutions in reducing the capital costs of overly large goods and stabilizing the stock of goods according to consumer needs, as well as predicting sales on the CV. Smber Makmur. Naïve Bayes is a simple probabilistic classification that calculates a set of probabilities by summing the frequency and combination of values from the dataset provided This application can accommodate the process of making transactions and reports faster and easier, the process of checking goods in realtime

Keywords: Prediction, Naïve Bayes Algorithm, Sales

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