JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI

MARKETPLACE CHINESE FOOD DENGAN SISTEM REKOMENDASI MENGGUNAKAN ITEM-BASED COLLABORATIVE FILTERING

Yanto Yanto (Unknown)
Dyah Erny Herwindiati (Unknown)
Manatap Dolok Lauro (Unknown)



Article Info

Publish Date
18 Jan 2021

Abstract

Chinese food (typical Chinese cuisine) which is one of the most popular foods in the world. Almost all over the earth, there are always residing Chinese restaurants. Along with the development of culinary in Indonesia, Chinese food restaurant owners began to carry out certain specifications on the menus on offer. As customers will definitely be confused in the choice of food, when the Restaurants have more than one menu. Therefore we need a Marketplace with a recommendation system with the Item-based Collaborative Filtering method. Marketplace is an inter-organizational information system where buyers and sellers in the market communicate information about prices, products and are able to complete transactions via electronic communication channels. There are several stages in using this method, based on first assessing the data, then entering the calculation phase of the similarity between items and then calculating the prediction of item ratings for users.

Copyrights © 2021






Journal Info

Abbrev

jiksi

Publisher

Subject

Computer Science & IT Mathematics Other

Description

Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI) diterbitkan oleh Fakultas Teknologi Informasi Universitas Tarumanagara (FTI Untar) Jakarta sebagai media publikasi karya ilmiah mahasiswa program studi Teknik Informatika dan Sistem Informasi FTI Untar. Karya-karya ilmiah yang dihasilkan berupa hasil ...