PENERAPAN ALGORITMA APRIORI DAN FP GROWTH DALAM ANALISIS FREKUENSI DATA PENJUALAN SKINCARE DAN KOSMETIK DI TOKO INDAH STORE

Skincare is a skin care beauty product to maintain healthy skin, while cosmetics are treatments used to beautify the appearance of the face. Skincare and cosmetic product companies have grown so rapidly, including in the city of Sukabumi. Many companies sell products with the same brand therefore companies make the right decisions to increase sales. This research is an in-depth analysis of association rules in products using a priori and fp growth algorithms. With a total of 1182 data to find the relationship between products purchased together and see the highest support value to prove the product is often purchased. Identifying the objectives of this research, the researcher carried out an analysis process using the market basket analysis method. The research results show a high frequency with support of 0.03 for Jolly Scarlett Body Lotion. Association Rules for Maybelline Gel Eyeliner with support 0.04 and confidence 0.85. Fp Tree on Jolly Scarlett Body Lotion with purchases of 42 transactions. Implement findings for decision making. By understanding the purchasing patterns found, companies can optimize product arrangement, direct promotional strategies, and increase the effectiveness of stock.

Keywords : Sales Data Analysis, Association Rules, Apriori Algorithm, Fp Growth Algorithm, Market Basket Analysis.