Application of Data Mining on Sales of Leather Handicrafts in Sidoarjo with Apriori Algorithm to Help Marketing Strategy

Penerapan Data Mining pada Penjualan Kerajinan Kulit Sidoarjo dengan Algoritma Apriori untuk Membantu Strategi Pemasaran

  • Muhammad Alfin Firdiansyah
  • Yulian Findawati Universitas Muhammadiyah Sidoarjo
  • Cindy Taurusta Universitas Muhammadiyah Sidoarjo
  • Ade Eviyanti Universitas Muhammadiyah Sidoarjo
Keywords: apriori algorithm, association rule, data mining, marketing

Abstract

Sidoarjo is one of the regencies that is developing in a forward direction. This is known by the increase in the tourism sector and Small and Medium Enterprises. One of them is Sidoarjo leather handicraft. UD Qory Jaya is a business actor in the leather retail industry. Orders that continue to increase make the turnover of goods uneven resulting in a buildup of stock in stores. Due to these problems the compilers took the initiative to deliver messages by carrying out a method of processing data using the Apriori algorithm. This method is used to maximize the sales potential of a combination system of goods so that the target item for sale is appropriate. From the results of research conducted by testing a minimum support of 15% and a minimum of 20% confidence, the association rules are produced if you buy a slingbag then buy men's leather shoes and vice versa. And from the test results with a minimum support of 70% and a minimum confidence of 70% an association rule is not generated because the existing data does not exceed the minimum value of support and minimum confidence. With the implementation of this method, researchers hope to have a better impact for developing future marketing strategies based on previously researched data.

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Published
2021-07-02