Data Mining Penjualan Produk Terlaris Mengunakan Metode K-Means Pada PT. Charoen Pokhpand Medan

Abstract

PT. Charoen Pokhpand Medan is a company engaged in the sale of frozen food and animal feed. Every day PT. Charoen Pokhpand Medan received several product sales transactions and in one day sales data recorded hundreds of sales which were quite rapid. Sales transaction data will continue to grow every day so that there is often a buildup of products in the warehouse. The more transaction data stored causes a very large data storage. Usually the product sales transaction data is only used as an archive and it is not known what the benefits of this data will be in the future. In this very large data set, there is hidden information. The data set can be processed to produce useful information that can be used to make decisions and to gain knowledge. The various types of products that are sold, of course, not all of them are very popular, those that are in demand, and those that are not in demand. The data on sales, purchases of goods and unexpected expenses at this company are not well structured, so that the data only serves as an archive for the company and cannot be used for developing marketing strategies. The available data should be used as a decision-making system for business solutions as well as infrastructure support in the field of technology which is the cause of the emergence of a technology, namely data mining.