@thesis{thesis,
		author={FAJRI  REZKY and farah  rahma and palupiningsih  pritasari},
		title ={IMPLEMENTASI ALGORITMA APRIORI UNTUK 
PENENTUAN POLA KOMBINASI PRODUK PADA DATA 
PENJUALAN DI KOPI KULO CABANG GREEN LAKE},
		year={2023},
		url={http://156.67.221.169/5653/},
		abstract={This study discusses a priori algorithms for determining product combination patterns
in the sales transaction data of kulo coffee green lake branch. This study used the 
APRIORI algorithm to process the data. In APRIORI, having the stages of converting
the data format into a tabular format then looking for the support value of 1 item and 
trimming the item with a support value below the minimum then merging into a 2-
itemset and recalculating the support value and trimming it again and so on. This study
aims to determine the pattern of purchasing products simultaneously at the Green Lake
City Branch of Kulo Coffee which is expected to be used for its own marketing
strategy. By creating your own marketing strategy and not relying on marketing
strategies by the center. The data used is consumer purchase transaction data totaling
1,912 total transactions for 40 days starting from September 1, 2022 to October 10, 
2022. In this study, 3 experiments were used with data categorized into 3 based on the
day of purchase, namely all data, weekend data and weekday data. The results obtained
for all three experiments were a minimum support of 1%, 2% and 3% each data
resulted in 5 product combinations, 9 product combinations, 5 product combinations.
Of all the product combinations created, 3 rules from weekend data have an elevator
ratio value of >1. The rule that passes the lift ratio test that can be recommended to the
owner / administrator of Kulo Coffee Green Lake City Branch as a package menu or in
determining future business strategies is a combination of Kulo Coffee and Yakult 
Berry, Matcha Latte and Chocolate, Yakult Berry and Lemon Yakult.}
		}