Penggunaan Algorithma Apriori Data Mining Untuk Mengetahui Tingkatkesetiaan Konsumen (Brand Loyality) Terhadap Merek Kenderaan Bermotor (Studi Kasus Dealer Honda Rumbai)

Abstract

The algorithm is commonly used in the process of finding frequent itemset (data that most often comes up) is Apriori. But the Apriori algorithm has a disadvantage that has take a long time in the process of finding frequent itemset. By utilizing the data consumer transactions associated with patterns of consumer loyalty to the brand Yamaha motor vehicles then their relationship patterns through data mining techniques, association rule. Professional category, gender consumers and brand of motor vehicles on the parameters measured by the level of consumer interest in the brand vehicles are at present. The algorithm used is a priori algorithm, the information displayed in the form of support and confidence values of each category.

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