IMPLEMENTATION OF DATA MINING USING APRIORIC ALGORITHM IN DETERMINING SALES DATA IN SIGMA STORES

• Febie Arvielianti

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ABSTRAK

Febie Arvielianti (11160363), IMPLEMENTATION OF DATA MINING USING APRIORIC ALGORITHM IN DETERMINING SALES DATA IN SIGMA STORES.

Toko Sigma is a company engaged in the sale of smartphones or other goods, such as cellphones from sales in 2019, there are lots of sales transaction data that are not neatly arranged, causing data accumulation in the company and unknown brands of cellphones that are often sold. To determine the support and trust that will result in association rules, which can be used to determine the stock of goods that can be propagated by suppliers to increase profits between suppliers and companies. From the question above, the author wants to know what cellphone products are sold the most in 2019. The priori algorithm in helping companies find out the most sold cellphone brand information from sales data so far has not been of maximum use. With the priori algorithm, you can find the most sold oil brand products and the results that meet the minimum 60% confidence requirements such as if you buy an Oppo A52, you will buy a Samsung Galaxy A51 77.8% If you buy a Samsung Galaxy A51, you will buy an Oppo A52 87, 5%. By knowing the cellphone products that are often sold, Sigma Cell can arrange goods so that there is no accumulation of goods that cause losses.

Keywords: Apriori Algorithm, Mobile Sales, Data Mining

KATA KUNCI

Algoritma Apriori,Data Mining

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