The goal of the study was to find patterns in food combinations using the Apriori Algorithm. This algorithm helps identify common combinations of food items by analyzing data efficiently. The researchers used Rapid Miner 9.7 software to process the data. The algorithm focuses on high-frequency patterns and strong relationships between food items. Support measures the percentage of item combinations in the database, while Confidence indicates the strength of the relationship between items in the association rule.