Sistem Rekomendasi Desain Website Berdasarkan Tingkat Kemiripan Menggunakan Euclidean Distance

Cahyani Ainun, Awaliyah (2022) Sistem Rekomendasi Desain Website Berdasarkan Tingkat Kemiripan Menggunakan Euclidean Distance. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.

	Text COVER.pdf Download (321kB)
	Text ABSTRACT.pdf Download (92kB)
	Text ABSTRAK.pdf Download (86kB)
	Text BAB I.pdf Download (125kB)
	Text BAB II.pdf Download (190kB)
	Text BAB III.pdf Download (114kB)
	Text BAB IV.pdf Restricted to Registered users only Download (677kB) | Request a copy
	Text BAB V.pdf Download (61kB)
	Text DAFTAR PUSTAKA.pdf Download (143kB)
	Text LAMPIRAN.pdf Restricted to Registered users only Download (167kB) | Request a copy

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 B “good”. Keywords: euclidean distance, website design, recommendation system.

Actions (login required)

View Item