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

• Bob Foster The University of Business and Informatics Indonesia Jl. Soekarno-Hatta No.643, Sukapura, Kiaracondong, Bandung City, West Java 40285, Indonesia
• Muhammad Deni Johansyah Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjajaran Jl. Raya Bandung-Sumedang Km 21, Jatinangor 45363, Sumedang, West Java, Indonesia

Palabras clave: Batik, Product recommendation system, E-Commerce.

Resumen

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.