<![CDATA[Currently, competition in the trading business world is very tight, especially in the fast food restaurant industry, such as Nusa Ricebowl & Burger, to attract customer interest in the food products being sold. So a strategy is needed to beat the market, especially in product sales at Nusa Ricebowl & Burger. With the right strategy, it will sell products quickly so that sales can increase to achieve maximum profit so that maximum profit is achieved which is the company's goal. By using Nusa Ricebowl & Burger transaction data, you can find out what products consumers buy the most and can also determine consumer buying patterns. The amount of sales transaction data available, of course, makes it more difficult to analyze data manually, so it must be done with the help of a system so that sales patterns are easily obtained. One common method used to analyze consumer buying patterns is basket analysis or market basket analysis (MBA). The research applies the FP-Growth algorithm in carrying out the data mining process to find consumer purchasing patterns at Nusa Ricebowl & Burger Stores. To find the frequency between items with a support value of 20% and 30% confidence. This is done by looking for a single path that is combined with the Conditional FP-Tree that has been obtained. The overall results obtained from the sales sample data are 22 rules consisting of 2 association rules that meet 20% support and 2 rules that meet 30% confidence. Of the 110 association rule transaction data that met the requirements ≥ 0.30 were: P→H 0.40 (if the consumer buys Aqua, then he buys Nusa Dua) it can be concluded that the Nusa Dua and Aqua menus are the most frequently purchased by consumers together. The rules have generated new information about consumer buying patterns that are not yet known. This can be used to help shop owners maintain good quality for consumers.]]>
