SISTEM REKOMENDASI MENGGUNAKAN ALGORITMA ITEM-BASED FILTERING TOKO TAS ONLINE

TAMAHARI, OKTAVIANI NIKEN (2021) SISTEM REKOMENDASI MENGGUNAKAN ALGORITMA ITEM-BASED FILTERING TOKO TAS ONLINE. Tugas Akhir thesis, University of Technology Yogyakarta.

[img]
Preview
Text
5170411077_Oktaviani Niken Tamahari_ABSTRAK.pdf

Download (180kB) | Preview

Abstract

OKTAVIANI NIKEN TAMAHARI Department of Informatics, Faculty of Science & Technology University of Technology Yogyakarta North Ringroad St., Jombor Sleman Yogyakarta Email: nikenelj24@gmail.com ABSTRACT People go to the store and look for the bag products they want; some do not find the bag they want, so they choose to search for bags online. Nevertheless, people will find it challenging to find products of good quality. Therefore, it takes a system that can provide advice to users. The purpose of this research is to help users get a suggestion from bag products that can help users to find products according to the desired quality, in addition to being able to feel the benefits in quickly accessing the products with the highest rating value, and can easily find the product information they are looking. The method that will be used in this recommendation system is item-based collaborative filtering, which is a method that provides recommendations of a product or item to the user based on the rating, rating, and popularity of the product. Hardware devices are used laptops with 4 GB ram and MySQL and PHP software as programming languages. The result of this study is an online bag store website that provides a product recommendation to users. Keywords: recommendation system, item-based, collaborative filtering.

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 07 Sep 2021 04:24
Last Modified: 07 Sep 2021 04:24
URI: http://eprints.uty.ac.id/id/eprint/7988

Actions (login required)

View Item View Item