Data on sales transactions can be processed into information
that can be used to determine consumer behavior. This information can be used
by business actors to facilitate the process of stocking goods, analysis,
customer retention and fraud detection. The purpose of this study is to determine
the behavior of buyers in the shopping cart to find out the food menu at the
restaurant of interest. This shopping cart analysis is carried out by
implementing the a priori algorithm to find out the association rules for each
itemset, in this study it was carried out by implementing a combination of 3
itemset rules. In this study, the minimum support value is 20% and the minimum
confidence value is 50%. It was found that consumers often buy grilled carp,
kale, karedok, fried tofu (contains 5pcs), ondel tofu (contains 5pcs), garlic
chopped bean sprouts.
Laporan Turnitin
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