IMPLEMENTASI ALGORITMA APRIORI TERHADAP DATA PENJUALAN PADA PERUSAHAAN RETAIL

  • Jordy Lasmana Putra Program Studi Magister Ilmu Komputer STMIK Nusa Mandiri
  • Mugi Raharjo Program Studi Magister Ilmu Komputer STMIK Nusa Mandiri
  • Tommi Alfian Armawan Sandi Program Studi Magister Ilmu Komputer STMIK Nusa Mandiri
  • Ridwan Ridwan Program Studi Magister Ilmu Komputer STMIK Nusa Mandiri
  • Rizal Prasetyo Program Studi Magister Ilmu Komputer STMIK Nusa Mandiri
Keywords: Apriori Algorithm, Transcation Data, Retail, Data Mining

Abstract

The development of the business world is increasingly rapid, so it needs a special strategy to increase the turnover of the company, in this case the retail company. In increasing the company's turnover can be done using the Data Mining process, one of which is using apriori algorithm. With a priori algorithm can be found association rules which can later be used as patterns of purchasing goods by consumers, this study uses a repository of 209 records consisting of 23 transactions and 164 attributes. From the results of this study, the goods with the name CREAM CUPID HEART COAT HANGER are the products most often purchased by consumers. By knowing the pattern of purchasing goods by consumers, the company management can increase the company's turnover by referring to the results of processing sales transaction data using a priori algorithm

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Published
2019-03-07
How to Cite
Putra, J., Raharjo, M., Sandi, T., Ridwan, R., & Prasetyo, R. (2019). IMPLEMENTASI ALGORITMA APRIORI TERHADAP DATA PENJUALAN PADA PERUSAHAAN RETAIL. Jurnal Pilar Nusa Mandiri, 15(1), 85-90. https://doi.org/10.33480/pilar.v15i1.113
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