Joutica : Journal of Informatic Unisla
Vol 2, No 1 (2017): Jurnal Informatika UNISLA

PENERAPAN ALGORITMA COLABORATIVE FILTERING UNTUK PEMBERIAN REKOMENDASI PADA PRODUK KAIN TENUN (Studi Kasus Kain Tenun Parengan)

Miftahus Sholihin (Fakultas Teknik Program Studi Teknik Informatika)



Article Info

Publish Date
28 Aug 2017

Abstract

Electronic commerce (e-commerce) is a concept that can be described as a process of buying and selling goods on the internet or the process of buying and selling or exchange of products, services, and information through information networks including the Internet. In developing e-commerce should be able to provide recommendations to customers. This recommendation aims to provide an overview of information about products that are considered in accordance with the wishes of customers. The method used in this research is Item Based Collaborative Filtering, where the system will look for similarity purchase model (similarity item) With others. The system will search for ratings between items by level The similarities exist. Once the item-to-item rating is obtained, this rating will be used to calculate the value Similarity between items using the Adjusted Cosine Similarity approach. The last process is to calculate the rating prediction value that customers have never done to a particular item. This approach uses Weigted Sum formula results from predicted value will be made recommendations to customers

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Journal Info

Abbrev

informatika

Publisher

Subject

Computer Science & IT Control & Systems Engineering

Description

Topics cover the following areas (but are not limited to): Enterprise Systems (ES) Enterprise Resource Planning Business Process Management Customer Relationship Management Marketing Analytics System Dynamics E-business and e-Commerce Marketing Analytics Supply Chain Management and Logistics ...