PERANCANGAN DAN IMPLEMENTASI WEBSITE SISTEM REKOMENDASI PEMILIHAN SEPATU MENGGUNAKAN ALGORITMA FILTERING DAN ALGORITMA SAW (SIMPLE ADDITIVE WEIGHTING) (Studi Kasus : Toko Sepatu Gita Boots, Yogyakarta)

Keliwulan, Louis (2019) PERANCANGAN DAN IMPLEMENTASI WEBSITE SISTEM REKOMENDASI PEMILIHAN SEPATU MENGGUNAKAN ALGORITMA FILTERING DAN ALGORITMA SAW (SIMPLE ADDITIVE WEIGHTING) (Studi Kasus : Toko Sepatu Gita Boots, Yogyakarta). ["eprint_fieldopt_thesis_type_tugasakhir" not defined] thesis, University of Technology Yogyakarta.

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Abstract

At this time, there are still many people who search for shoes manually by going around looking for shoe stores. This resulted in a waste of time and transportation costs for the community. One solution in overcoming this problem is to create a shoe product recommendation website that can be accessed by netizens so that before they buy the shoes to be purchased, the netters can check the shoe products that match the desired criteria. Website-based system was chosen because of its broad market share, open source, easily accessible anytime and anywhere as long as smartphones and other electronic devices such as laptops and portable computers are connected to the internet network. The recommendation system using the Simple Additive Weighting (SAW) method can recommend items / products of choice to the user based on the desired consideration criteria by looking at the positive rating of the item. The criteria used in shoe product recommendations include popularity, price, quality and size / comfort. The results of the application are made that can provide recommendations for the best shoe products based on the suitability of user criteria making it easier for users to choose the desired shoe product without the need to spend time and transportation costs as well as increasing consumer reach and revenue. global. Keywords: Recommendations, SAW, Website, Efficiency.

Item Type: Thesis (["eprint_fieldopt_thesis_type_tugasakhir" not defined])
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 01 Nov 2019 05:03
Last Modified: 01 Nov 2019 05:03
URI: http://eprints.uty.ac.id/id/eprint/4090

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