The Optik Nasional is one of the most important optik in Tasikmalaya. Many of his everyday sales transactions, even longer sales, will increase as a result of his activities through the process of purchasing and selling glasses with diverse brands. If left to its own devices, sales transaction data devolves into useless junk. With the help of technological advancements, the ability to collect and process data is improving. Data mining is the process of extracting information and expertise from large amounts of data. Transaction data may be used and analysed to generate helpful information for improved sales and promotional goods, in addition to serving as an archive for the firm. The author utilises the Apriori algorithm to obtain information on the most popular and in-demand goods in a database transaction at a national optical firm, so that the results may be utilised to improve the growth of eyeglass sales and marketing.
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