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DATA MINING FOR MARKET BASKET ANALYSIS USING RULE-BASED NEURAL NETWORKS Student Name NRP Counsellor : Yuliani Puji Astuti : 1203 201 004 : DR. M. Isa Irawan, M.T. ABSTRACT In this free trade era all producers have to improve their competitiveness. Besides by upgrading product, all producers also have to pay attention to quality of service to consumer. Quality of service can be improved by watering down consumer in shopping and getting goods required. A marketing manager require the information obtained from related association rules of product from historical data. Pattern obtained referable to recognize the consumer behavior, reading tendency of appetite of future market, and also to get the new market. Data Mining, specially for Market Basket Analysis, can assist to know the related pattern the product composition bought by consumer in the form of association rules. the Association Rules can be made by determination guidance arrangement of the products to make consumer easier to get them concurrently. In this thesis, Rule-Based Neural Networks (RBNN) is used as method to get the association rules and compare it with the calculation confidence. Through training as much 3500 transaction data, RBNN succeed to get the association rules coming near calculation confidence so that applicable to Market Basket Analysis. Keywords : Data Mining, Market Basket Analysis, Association Rules, Rule-Based Neural Networks 11