Image of PENERAPAN ATURAN ASOSIASI PADA DATA KERANJANG BELANJA UNTUK REKOMENDASI PRODUCT BUNDLING DI GERAI 212 MART JAKABARING PALEMBANG

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PENERAPAN ATURAN ASOSIASI PADA DATA KERANJANG BELANJA UNTUK REKOMENDASI PRODUCT BUNDLING DI GERAI 212 MART JAKABARING PALEMBANG

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Market basket analysis is one method of data mining that focuses on finding purchase patterns by extracting associations from transaction data. This research uses transaction dataset of outlet 212 Mart Jakabaring Palembang. The data processing phases in this study used RapidMiner software. The method used in the search for frequent itemset is the FP-Growth Algorithm. This study resulted in the 10 strongest item combinations with a minimum confidence value of 100% based on 19% of transaction data in the second quarter of 2020. Keywords: Market Basket Analysis, FP Growth Algorithm, Product Bundling.

Availability
Inventory Code Barcode Call Number Location Status
2107002211T54762T547622021Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T547622021
Publisher
Inderalaya : Fakultas Ilmu Komputer, Prodi Sistem Informasi.,
Collation
xiii, 160 hlm,: ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.360 7
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Informasi
Program untuk Komputer Personal-Sistem Informasi
Specific Detail Info
-
Statement of Responsibility
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No other version available

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