KNOWLEDGE BASED RECOMMENDATION MODELING FOR CLOTHING PRODUCT SELECTION RECOMMENDATION SYSTEM

One of the markets which is largest wholesaler clothing in Central Java Klewer market area and its surroundings. The Simple Inc Store one stores area. a large kiosk that sells products form various types t-shirts, shirts, jackets, sweaters pants. Sales these are still done conventionally, namely customers come directly to store choose buy products. number sold makes experience difficulties process selecting Therefore, it necessary develop recommendation system can assist choosing purpose this research create Knowledge Based Recommendation model for System Selection Clothing Products. development method used Rapid Application Development (RAD), consists stages, business modeling, data modeling modeling. knowledge based recommendation. has advantage being able set level user priority on user's needs product by calculating similarity value between customer attributes. selection provide 5 choices search attributes, brand, price, material, color size. results with 20 sample data, recommendations criteria needed attributes possessed each product. highest will be displayed as result recommendations, 0.6 obtained Maternal t-shirts. knowledge-based reference developing