DIGITAL MARKETING INFORMATION SYSTEMS FOR RECOMMENDATION PROMOTION PRODUCT USING APRIORI ALGORITHM

Abstract

The information technology currently influences the world of trade and sale and purchase transactions, in
the beginning a transaction requires a meeting place between sellers and buyers, the media is currently
ineffective because it causes sales not optimal because of limited space and promotional media, the use of
information media in the form of e-commerce media is able to provide choices of types of goods with
different categories of goods, e-commerce information systems can be used to classify the types of
products or goods most sold and able to as references and giving discounts to customers, each database of
goods sales will be analyzed using Apriori algorithm and FP-Growth, from the data the system will
automatically provide information about the most sold items that will be used as product recommendations
to be given to customers.