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Normah Normah
STMIK Nusa Mandiri Jakarta Program Studi Teknik Informatika
Computer Science & IT

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Penerapan Algoritma Apriori Terhadap Data Penjualan Di Swalayan Koperasi Bappenas Jakarta Pusat Siti Aisyah; Normah Normah
Paradigma Vol 21, No 2 (2019): Periode September 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (47.595 KB) | DOI: 10.31294/p.v21i2.6205

Abstract

Supermarkets are a place to supply daily necessities ranging from nine basic commodities to household needs. Every day there are several sales transactions, which that data will increase continue. Usually these sales data are only used as store archives, actually in sales data there are information that can be used to find out the most sales simultaneously so that a method is needed to find out which products has selling well using apriori algorithm and tools rapid miner help. From the results of analyzing the sales data, consumers who conduct basic needs product transactions obtained from the purchase of dominating item combinations are a combination of Indocafe Jar 200g and Kapal Api 165g items with the highest support value of 0,213. Then, the buyers of item combination which dominates Max Creamer 450gr item and Kapal Api 165gr confidence value are 0,958 and the buyrs combination of Gulaku Kuning and Kapal Api 165g support value are 0,259 From these results, concluded every consumer buys Indocafe Jar 200g there is an indication that consumers will also buying Api Kapal Api 165gr as well as Gulaku Kuning with Kapal api 165g and Max Creamer 450gr and Kapal Api 165gr. 
Algoritma Apriori Sebagai Solusi Kontrol Persediaan Suku Cadang Mobil PT. Buanasakti Aneka Motor Jakarta Normah Normah; Bakhtiar Rifai; Pita Sari
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (46.066 KB) | DOI: 10.31294/p.v22i2.6530

Abstract

PT. BuanaSakti Aneka Motor is one of the car distributor agents located at warung buncit raya street No. 109 Duren Tiga, South Jakarta. Everyday the data piles is increase more and longer. PT. BuanaSakti Aneka Motor sometimes has difficulty to knowing how many spare parts occur in one transaction, so data or new stock information is difficult to find sometimes experiencing errors. To find out which products have the most sales and how they relate to one another, a priori algorithm method and the help of Rapidminer Tools are needed to produce associative rules. From the results of the discussion and analysis of the data it can be concluded that the application of a priori algorithm in determining the combination of itemset with a minimum support of 25% and a minimum of 60% confidence found 2 association rules, where the highest value of support and confidence is a radiator with a minimum stop lamp support of 26.92% while the minimum confidence is 64.65% and the oil filter with the minimum stop light support is 35.32% while the minimum confidence is 61.58%. 
Co-Authors Bakhtiar Rifai Pita Sari Siti Aisyah