PENERAPAN METODE ASSOCIATION RULE DALAM MENGANALISA DATA PENJUALAN SPARE PART MOTOR MENGGUNAKAN ALGORITMA FP-GROWTH (STUDI KASUS : PT. ALFA SCORPII MEDAN)

AMELIA TAMARA, VIVIAN WIJAYA, JOSEPHINE, DAVIN KURNIAWAN (2021) PENERAPAN METODE ASSOCIATION RULE DALAM MENGANALISA DATA PENJUALAN SPARE PART MOTOR MENGGUNAKAN ALGORITMA FP-GROWTH (STUDI KASUS : PT. ALFA SCORPII MEDAN) , SKRIPSI, UNIVERSITAS PRIMA INDONESIA

ABSTRAK

PT. Alfa Scorpii is one of the showrooms that sells Yamaha branded motorbikes, servicing and selling vehicle parts, the showroom also serves the purchase of spare parts that are not specifically serviced. Showroom of PT. Alfa Scorpii has a lot of transactions every day, transaction data in our showroom is the same as in other showrooms in general. With this knowledge, the Showroom collaborated using the Association Rule method with the FP Growth algorithm. In applying the FP Growth algorithm to analyze spare parts sales data on Shoorum, obtain 7 samples of rules from hundreds of rules by applying minimum support> 30 and 70% confidence of applications or programs that have been run. Determined rules If you buy Wheel spare parts to buy Brake & Accessories spare parts with a confidence value = 75% and if you buy Inner Tires then buy Outer Tires with a value = 83% and if you buy Accessories then buy Brake Shoes with a value = 86% and if you buy Outer Tires then buy Brake Shoes with a value = 71% and if you buy Lights then buy Brake Shoes with a value = 78% and if you buy Oil to buy Brake Shoes with a value = 70% and if you buy Oil & Shock then buy Brake Shoes with value = 100%

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