ANALISIS DATA MINING UNTUK MENENTUKAN STRATEGI PENJUALAN MENGGUNAKAN ALGORITMA FP-GROWTH (Studi Kasus: Raharjo Putra)

Fauzi, Tomi Ramadhan (2019) ANALISIS DATA MINING UNTUK MENENTUKAN STRATEGI PENJUALAN MENGGUNAKAN ALGORITMA FP-GROWTH (Studi Kasus: Raharjo Putra). Other thesis, Universitas Amikom Purwokerto.

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Abstract

Toko Raharjo Putra, whose address is in Cikondang Village, Cimanggu District, Cilacap Regency is engaged in sales. Raharjo Putra's store has not utilized the sales transaction data stored in the database which was made into the store's archive. With the existence of data mining, it can help Toko Raharjo Putra to get the information contained in the sales transaction database into new knowledge. One method of data mining is the market basket analysis (association rule) is a methodology for analyzing consumer buying habits by finding associations between several different items, the algorithm used in this study is the FP-Growth algorithm. The FP-Growth algorithm is part of the association technique in data mining. FP-Growth itself is one alternative algorithm that can be used to determine the set of data that most often appears (frequent itemset) in a set of data. The test was carried out using the Rapidminer software with a minimum support of 0.1 (10%) and a minimum confidence of 0.7 (70%), the highest yields were brown sugar and coconut malkist hatari 260g with a confidence value of 1 (100%) and a value of support 0.34 (34%) can be used to help decision-makers Raharjo Puta store to make a strategy of selling goods

Item Type: Thesis (Other)
Additional Information: Dosen Pembimbing: Kuat Indartono, S.T., M.Eng.
Uncontrolled Keywords: Data Mining, Association Rule, Algoritma FP-Growth, Minimum Support, Minimum Confidence.
Subjects: H Social Sciences > HF Commerce
T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Sistem Informasi
Depositing User: UPT Perpustakaan Pusat Universitas Amikom Purwokerto
Date Deposited: 08 Oct 2020 04:06
Last Modified: 08 Oct 2020 04:06
URI: http://eprints.amikompurwokerto.ac.id/id/eprint/281

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