IDENTIFIKASI PELANGGAN POTENSIAL PRODUK ASURANSI DENGAN TEKNIK KLASIFIKASI; IDENTIFYING POTENTIAL CUSTOMERS OF INSURANCE PRODUCT WITH CLASSIFICATION TECHNIQUES

Akbar, Adhitya, Zulaela

2015 | Skripsi | FMIPA

Customer is the main success factor in the business world. Customer also as the valuable asset which has to be retained and to be increased by it’s number to get the maximum profit. To increase the number of it’s customers, a company/enterprise has to identify the people (market) who have the potential to become their new customers. Identifying the potential customers has the function to get the candidates of the new customers efficiently (acquisition). Classification is one of the data mining techniques which can do that thing. Two classification models using Decision Tree and Naive Bayes algorithm have been compared for it’s accuracy rate to predict the potential customers. This research shows Decision Tree as the classification model that better than Naive Bayes in case of the bank’s customers which have the potential to buy the insurance product.

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