Journal of Dinda : Data Science, Information Technology, and Data Analytics
Vol 2 No 2 (2022): August

Sistem Rekomendasi Desain Website Berdasarkan Tingkat Kemiripan Menggunakan Euclidean Distance

Cahyani Ainun Awaliyah (Institut Teknologi Telkom Purwokerto)
Agi Prasetyadi (Institut Teknologi Telkom Purwokerto)
Apri Junaidi (Institut Teknologi Telkom Purwokerto)

Article Info

Publish Date
28 Jul 2022

Abstract

The more internet users, the more interest in creating websites for certain purposes. To create a website that can attract visitors, a good website design is required. Website design is an important element in making a website, because the design of a website will create its own impression and image for website users. One of the technological developments is artificial intelligence, namely the Recommendation System which is a computer technology that is able to provide recommendations for the layman, in this study a website design recommendation system based on the Euclidean distance assessment resulted in a "good" SUS (System Usability Scale) grade C “good”.

Copyrights © 2022




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Journal of Dinda : Data Science, Information Technology, and Data Analytics
Website

Abbrev

dinda

Publisher

Institut Teknologi Telkom Purwokerto

Subject

Computer Science & IT

Description

Journal of Dinda : Data Science, Information Technology, and Data Analytics as a publication media for research results in the fields of Data Science, Information Technology, and Data Analytics, but not implicitly limited. Published 2 times a year in February and August. The journal is managed by ...