ANALISIS POLA PEMBELIAN PRODUK MENGGUNAKAN ALGORITMA APRIORI (STUDI KASUS: TOKO AYU KOSMETIK)

Determining product layout is an important factor in a company's sales strategy. Determining the product layout at the Ayu Cosmetics Shop currently does not use a special strategy. This lack of strategy in product placement makes it difficult for consumers to find the items they are looking for, thereby reducing the opportunity for impulse purchases. Therefore, a data mining process is needed to process large data on Ayu Cosmetics Store sales transaction data to find purchasing patterns and optimize product layout determination which is done by processing data samples in the period January 2022 to December 2023 using an a priori algorithm to find association rules from purchasing products that are often purchased together. This form of data mining is processed using an application built using the waterfall development method which produces an interpretation of the association rules resulting from data mining analysis whose results match the data mining application that has been developed with manual calculations. With this data mining, it is hoped that it will produce information that can be used to help determine the product layout at the Ayu Cosmetics Shop.