In general, stores only use the data as limited to report makers. Data collected and stored sales transactions can provide useful knowledge for company management in carrying out businesses related to increased sales, for example in determining marketing strategies and to support decisions for the company. Consumers who shop at the store usually have a reason why they choose to shop at the store instead of the traditional market. Because stores can provide what they want such as comfort, cleanliness, speed and neatness of the product. Application of marketbasketanalysis techniques in the design of product layouts in stores has been carried out by several researchers, including association rule methods using Apriori algorithms to create a product placement decision support system in the shop market. & the size of the K-Means Algorithm framework has also been used to group expressigen data.
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