Prediksi Pendapatan Terbesar pada Penjualan Produk Cat dengan Menggunakan Metode Monte Carlo

Prediction of the Biggest Revenue in the Sales of Cat Products Using the Monte Carlo Method

Bias Yulisa Geni, Julius Santony and Sumijan Sumijan

MPRA Paper from University Library of Munich, Germany

Abstract: Completing cat products in meeting consumer demand is something that must be addressed. Sales are very important for sales. The amount of demand for goods increases, it will get a large income. The purpose of this study is to predict the sales revenue of paint products at UD. Masdi Related, makes it easy for the leadership of the company to find out the amount of money obtained quickly. This research also makes it easy for companies to take business strategies quickly and optimally. The data used in this research is the data of paint product sales for January 2016 to December 2018 which is processed using the Monte carlo method. Income prediction will be done every year. In addition to predicting revenue, the sales data is also used to predict product demand every year. To predict the sales of paint products using the Monte Carlo method. The results of this study can predict sales revenue of paint products very well. Based on the results of tests conducted on the system used to predict sales revenue of cat products with an average rating of 89%. With a fairly high degree of accuracy, the application of the Monte Carlo method can be estimated to make an estimate of the income and demand for each paint product every year. Necessary, will facilitate the leadership to choose the right business strategy to increase sales of cat product sales.

Keywords: Modeling and Simulation; Monte Carlo; Revenue Prediction; Paint Products; Building Stores (search for similar items in EconPapers)
JEL-codes: G0 (search for similar items in EconPapers)
Date: 2019-10-14
New Economics Papers: this item is included in nep-cmp
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Published in Jurnal Informatika Ekonomi Bisnis 4.1(2019): pp. 15-20

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