PENERAPAN DATA MINING UNTUK MENENTUKAN POLA PEMBELIAN PRODUK PADA TOKO LS MART MENGGUNAKAN ALGORITMA ECLAT

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dc.contributor.authorMukthy, M. Luthfi
dc.contributor.supervisorElfizar, Elfizar
dc.date.accessioned2024-02-03T08:15:02Z
dc.date.available2024-02-03T08:15:02Z
dc.date.issued2023-10
dc.description.abstractAt this time, the retail sector in Indonesia continues to experience significant growth, with an increase in the number of outlets built in various locations. In sales places such as shops, sales transactions are carried out every day, and the number is increasing. The LS Mart shop is a sales place that provides household necessities, food, and people's daily necessities, which are generally sold. An effective and efficient sales strategy is needed to attract customer interest and comfort when shopping, but the sales transaction data that we have has not been used to dig up this information. It is very important to have knowledge of the required strategy. Existing sales transaction data is used to find purchasing patterns and determine sales strategy recommendations using the association rule method using the ECLAT algorithm. ECLAT is an association algorithm that identifies the most frequently repeated itemsets and is one of the association algorithms with the most effective search for frequently repeated itemsets when compared to other algorithms. The results of data processing showed that the ECLAT algorithm was successfully applied to determine product purchasing patterns. Sales transaction data processing resulted in 12 rules for 2-itemset combinations and also nine rules for 3- itemset combinations, as well as recommendations for sales strategies that can be implemented in the form of bidding strategies, packages, and product placement strategies.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/11292
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectRetailen_US
dc.subjectBuying Patternsen_US
dc.subjectAssociation Ruleen_US
dc.subjectECLAT Algorithmen_US
dc.titlePENERAPAN DATA MINING UNTUK MENENTUKAN POLA PEMBELIAN PRODUK PADA TOKO LS MART MENGGUNAKAN ALGORITMA ECLATen_US
dc.typeArticleen_US

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