Priyanto, Agung (2020) IMPLEMENTASI DATA MINING DENGAN ALGORITMA APRIORI UNTUK MENGANALISIS PENJUALAN. Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
In the business world, especially businesses that sell equipment and material needs for convection, changing conditions that often occur both from within and from outside is certainly very important to be faced. Business decision making that is fast and precise is one of the solutions so that the store can continue to grow and adapt to existing changes. Sales transaction data is one of the things that can be used for business decision making, because in sales transactions there is usually hidden information in the form of customer purchasing patterns that can help shop owners to analyze sales. Based on this incident, we need a system that can facilitate the store owner in analyzing customer purchasing patterns using the Apriori Algorithm Data Mining method with association rules. Determination of the itemset used is 1.2, and 3 product items. While the minimum support used 3 items or 9% with a minimum of 70% confidence in the transaction on April 16 2019. The results obtained were {solar yarn 20/2 => kiloan threads} with 80% confidence. {yarn and 20/2 => kilo yarn) with 75% confidence. {thaisan thread 20/2 => kiloan yarn} with 75% confidence. Keywords: Data Mining, Apriori Algorithm, analyzing, customer purchasing patterns.
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 26 Mar 2020 06:21 |
| Last Modified: | 26 Mar 2020 06:21 |
| URI: | http://eprints.uty.ac.id/id/eprint/4867 |
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