Data Mining is used for extracting important information that is hidden from large datasets. With data mining, you will get a jewel of knowledge in a large amount of data collection. In this study an analysis of data by Data Mining will be conducted using the Apriori Algorithm Method to increase sales at the Canteen of Tanri Abeng University. This analysis is expected to help sellers in the Tanri Abeng University Canteen to plan the sales strategy of the products offered on the food menu for sale. A priori algorithm is one part of the analysis of the association, this algorithm was chosen to produce an association rule from the results of food sales transactions at the Canteen of Tanri Abeng University. In determining the association rules, identification of items needs to be done to combine several menus that may be purchased by consumers. This determination starts from one item to several items, then the item set will produce association rules and trust values. Through the calculations contained in the association rules, it can be concluded that there are only a few food products purchased with a high probability in the sample of food sales transactions in the Canteen of the Tanri Abeng University. Thus, the analysis of this association can help prepare what types of food stocks are needed in the future so as to reduce the level of food loss that is less desirable.
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