Implementation of Apriori Algorithm Data Mining for Increase Sales

Authors

  • Reza Alfianzah Sekolah Tinggi Manajemen Informatika Dan Komputer Nusa Mandiri
  • Rani Irma Handayani STMIK Nusa Mandiri, Jakarta
  • Murniyati Murniyati Bina Sarana Informatika University, Indonesia

DOI:

10.33395/sinkron.v5i1.10587

Keywords:

Data Mining, Apriori Algorithm, Sales Data, Rapidminer, Association Rule

Abstract

Any company or organization that wants to survive needs to determine the right business strategy. The product sales data carried out by Lakoe Dessert Pondok Kacang will eventually result in a pile of data, so it is unfortunate if it is not re-analyzed. The products offered vary with a wide variety of products as many as 45 products, to find out the products with the most sales and the relationship between one product and another, one of the algorithms is needed in the data mining algorithm, namely the a priori algorithm to find out, and with the help of the Rapidminer 5 application, with a support value 2,4% and a confidence value 50%, products that customers often buy or are interested in can be found. This study used sales data for March 2020, which amounted to 209 transaction data. From the research, it was found that the item with the name Pudding Strawberry and Pudding Vanilla was the product most purchased by consumers. With knowledge of the most sold products and the patterns of purchasing goods by consumers, Lakoe Dessert Pondok Kacang can develop marketing strategies to market other products by analyzing the profits from selling the most sold products and anticipating running out or empty of stock or materials at a later date.

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How to Cite

Alfianzah, R., Handayani, R. I., & Murniyati, M. (2020). Implementation of Apriori Algorithm Data Mining for Increase Sales. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 5(1), 17-25. https://doi.org/10.33395/sinkron.v5i1.10587

Issue

Vol. 5 No. 1 (2020): Article Research, October 2020

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