Apriori Application To Pattern Profile Creditor Relationships With Credit Ceiling In Rural Bank

Abstract

Maintaining the customer to remain loyal and acquiring new clients are the successful capital for financial institutions such as the BPR. This is supported by appropriate marketing strategies. One marketing strategy is obtained from a Ddatabase which is a combination of hidden patterns of relationships between items on the profile of creditors with credit ceiling. Pattern rules creditor profile relationship with the ceiling is presented in the model Apriori application that requires two input values are minimum values and the value of frequent item set minimum confidence. Item profiles creditors and the credit ceilings that appear simultaneously on each transaction are important in finding new marketing strategies such as target new creditors. One model is the application of Apriori Datamining that can be used to process data into a meaningful pattern rules. The results of the application may present Apriori pattern profile creditor relationship with the credit ceiling with graphs the value of support and confidence as well as provide a benchmark in providing the credit limit on case that has ever happened. Keywords : Customer Profile, Credit Plafond, Marketing Strategy, The Apriori Algorithm