Data Mining Dalam Memprediksi Penjualan Produk Pada PT. Mitra Bersama Menggunakan Metode Algoritma Regresi Linear Berganda

Abstract

PT. Mitra Bersama is a company that operates in the field of selling daily necessities. However, there are several obstacles faced by the company, namely that it often happens that the process of fulfilling requests from consumers cannot be fulfilled optimally, and data on stock of goods for resale is still being checked by the warehouse department continuously. In this case, this is done to record monthly product availability, so that there are no delays in adding or supplying product stock for the next time. In this company there is also often a buildup of goods due to lack of customer interest and product sales data often does not match the transactions that have occurred and the process of fulfilling purchases from customers cannot be fulfilled in full because the stock amount is often unstable so it cannot fulfill purchases from consumers. The aim of PT. Mitra Bersama can find out the steps taken to record the product sales process so that there are no delays in stock supply, therefore there is a need for a system to predict future product stock, therefore we need data from each existing product, using data mining