ANALISIS DATA PENJUALAN UNTUK REKOMENDASI PRODUK MENGGUNAKAN ALGORITMA FP-GROWTH (Studi Kasus : Griya Muslim Shofie Banyumas)

Purwati, Herlina (2020) ANALISIS DATA PENJUALAN UNTUK REKOMENDASI PRODUK MENGGUNAKAN ALGORITMA FP-GROWTH (Studi Kasus : Griya Muslim Shofie Banyumas). Other thesis, Universitas Amikom Purwokerto.

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Abstract

Griya Muslim Shofie is a retail store that meets the Muslim equipment needs of its customers. The increasing number of new businesses that are similar makes the shop owner must know the habits and behavior of customers to be right in meeting the needs of their customers. There are many ways to find out customer behavior and habits, but in this study using association rules, namely data mining techniques to find the association rules for a combination of items. By utilizing the stored transaction data, the store can find out what items are often bought and what items are bought simultaneously by the customer. The process of searching for associations uses the help of the FP-Growth algorithm to produce item combination rules as science and important information from sales transaction data. The results of this study are the rules of purchasing goods with the highest value of support and confidence . Four rules are formed with the hijab nibras product which is always a combination of the formed rules.

Item Type: Thesis (Other)
Additional Information: Dosen Pembimbing: Yuli Purwati, M. Kom., dan Adam Prayogo Kuncoro, M. Kom.
Uncontrolled Keywords: association rule, Data Mining, FP-Growth, sales transactions
Subjects: H Social Sciences > H Social Sciences (General)
T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Sistem Informasi
Depositing User: UPT Perpustakaan Pusat Universitas Amikom Purwokerto
Date Deposited: 10 Dec 2020 03:25
Last Modified: 10 Dec 2020 03:25
URI: http://eprints.amikompurwokerto.ac.id/id/eprint/449

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