<![CDATA[This study aims to analyze consumer habits in buying products simultaneously at one time by utilizing market basket analysis with a priori algorithms on sales transactions. The research method uses quantitative methods and the type of data used is the type of primary data by making direct observations to the first minimarket. The data is analyzed by Market Basket Analysis which is one of the methods or techniques that is often used and the most useful for the marketing environment. The results of this study indicate that Data Mining can be implemented to predict itemset sales promotion items at the Permata Mini market. The use of the Market Basket Analysis (MBA) method can find trends in the pattern of item sets combinations so that they can be used as very valuable information in the sales process. Then from the results of the calculations that have been carried out, there are 19 Rule Associations that meet the minimum confidence value.]]>
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