Batik sales product recommendation system on E-Commerce Website using FP-Growth Algorithm

Bob, Foster and Muhamad, Deni Johansyah (2020) Batik sales product recommendation system on E-Commerce Website using FP-Growth Algorithm. Opción,, 36 (91). pp. 197-212. ISSN 2477-9385

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Abstract

The study aims to investigate the Batik sales product recommendation system on E-Commerce Website using the FP-Growth Algorithm. In this case, the sale of batik cloth is website-based. The website system is made in the PHP programming language. As a result, the process of implementing product recommendations that can be categorized as a best seller product, the product will appear directly on the main page of the website, product recommendations will change according to needs. From this research, it can be concluded that the application of a product recommendation system on e-commerce websites selling batik can be implemented

Item Type:	Article
Subjects:	H Social Sciences > HB Economic Theory
Divisions:	Fakultas Ekonomi dan Bisnis > Manajemen
Depositing User:	lppm Universitas UNIBI
Date Deposited:	21 Jun 2021 02:37
Last Modified:	22 Oct 2021 11:29
URI:	http://repository.unibi.ac.id/id/eprint/229

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