GEBYOK PRODUCT RECOMMENDATION INFORMATION SYSTEM BASED ON CONSUMER PREFERENCES IN ARTZAK FURNITURE MSMES USING THE ITEM-BASED COLLABORATIVE FILTERING METHOD

Abstract

This research aims to develop a gebyok product recommendation information system based on consumer preferences by applying the Item-Based Collaborative Filtering method. UMKM Artzak Furniture as a research object faces challenges in understanding customer preferences in depth, considering that the products sold are items with rarely repeated purchase cycles. The system being developed is expected to be able to provide product recommendations that are more in line with consumer preferences based on previous transaction data. The research results show that the Item-Based Collaborative Filtering method is able to provide product recommendations with a good level of accuracy, helping MSMEs improve customer experience and sales potential. Keywords: Product Recommendations, Item Based Collaborative Filtering, Information Systems, MSME Furniture, Gebyok