Sales Data Analysis Using Apriori and Single Exponential Smoothing Algorithm in Pharmaceutical Companies

One of the pharmaceutical industry companies in processing sales data using computers and storing sales data using a database, so that transaction data can be processed into useful information for the company. Sales transaction data every day will always increase, so that the volume of data becomes large, but if left alone the sales data will only become meaningless junk. One way to manage sales transaction data is to use Data Mining techniques. The purpose of this study is to look for patterns of relationships between products in a sales transaction using a priori algorithm and predict the number of sales in the next period using a single exponential smoothing. After the sales data is realized, it produces 5 association rules with a minimum support value of 10% and a minimum trust of 70% with a positive lift ratio value of more than 1. While for forecasting the next period, n