Mushobirina, Madhitya Gusta (2020) IMPLEMENTASI ASSOCIATION RULE MENGGUNAKAN ALGORITMA APRIORI UNTUK MENGETAHUI POLA PEMBELIAN PRODUK JIMS HONEY (STUDI KASUS EL JIMS HONEY SEMARANG). Undergraduate thesis, Universitas Stikubank.
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Abstract
El Jims Honey merupakan sebuah toko offline dan online store yang bergerak dibidang fashion wanita maupun pria.Els Jims Honey menyediakan beberapa jenis barang tas,dompet,jam tangan dengan brand produk lokal dari Jims Honey.Toko Offline El Jims Honey terletak di Jl.Griya Dempel Baru Cluster A No 16,Tlogosari,Pedurungan,Semarang dan untuk toko Online bisa diakses melalui Instagram dan Shopee @elsjimshoneysmg.Ownwer dari El Jims Honey Pada implementasi Toko El Jims Honey ini menggunakan metode association rule (aturan asosiasi),yaitu teknik data mining untuk menemukan aturan asosiasi suatu kombinasi item dengan algoritma apriori yang dapat membantu owner untuk proses analisa pola pembelian di El Jims Honey untuk mengetahui barang apa saja yang sering dibeli konsumen secara bersamaan,cara bersamaan El Jims Honey is an offline shop and online shop engaged in women's and men's fashion. El Jims Honey provides various types of goods, wallets, jams with local product brands from Jims Honey. El Jims Honey's Offline Store is located at Jl. Griya Dempel Baru Cluster A No 16, Tlogosari, Pedurungan, Semarang and for online stores can be accessed via Instagram and Shopee @elsjimshoneysmg In the implementation of El Jims Honey Store, it uses the association rule method, which is a data mining technique to find the association rules of a combination of items with a priori algorithm that can help the owner to analyze the purchase pattern in El Jims Honey to find out what items are often purchased simultaneously, the same way
Item Type: | Thesis (Undergraduate) |
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Additional Information: | NIM.16.01.53.0075 SKR.I.05.01.1916 |
Uncontrolled Keywords: | Data Mining,Apriori,Aturan Asosiasi,JimsHoney Data Mining,Apriori,AssociationRule,JimsHoney |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Faculty / Institution: | Fakultas Teknologi Informasi > Program Studi Teknik Informatika |
Depositing User: | H Hayati |
Date Deposited: | 11 Sep 2020 07:53 |
Last Modified: | 11 Sep 2020 07:53 |
URI: | https://eprints.unisbank.ac.id/id/eprint/7085 |
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