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All Journal Journal of Dinda : Data Science, Information Technology, and Data Analytics
Cahyani Ainun Awaliyah
Institut Teknologi Telkom Purwokerto
Computer Science & IT

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Sistem Rekomendasi Desain Website Berdasarkan Tingkat Kemiripan Menggunakan Euclidean Distance Cahyani Ainun Awaliyah; Agi Prasetyadi; Apri Junaidi
Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 2 No 2 (2022): August
Publisher : Research Group of Data Engineering, Faculty of Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/dinda.v2i2.543

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”.
Co-Authors Agi Prasetyadi Apri Junaidi