The study used data mining to analyze shopping patterns at a supermarket in Medan. By applying the apriori algorithm, the researchers identified association rules between items purchased. They found a total of 29 rules over seven days, with varying numbers of rules each day. The minimum support was set at 10% and the minimum confidence at 40%.