Fuzzy-Clustering Taiwanese University Websites

Suryadi, Dedy; Tesavrita, Ceicalia; Darmawan, Agus

dc.contributor.author	Suryadi, Dedy
dc.contributor.author	Tesavrita, Ceicalia
dc.contributor.author	Darmawan, Agus
dc.date.accessioned	2023-01-31T04:22:50Z
dc.date.available	2023-01-31T04:22:50Z
dc.date.issued	2011
dc.identifier.isbn	979-545-053-0
dc.identifier.other	maklhsc704
dc.identifier.uri	http://hdl.handle.net/123456789/14312
dc.description	Makalah dipresentasikan pada International Conference on Industrial Engineering and Service Science (IESS) 2011. Solo, 20-21 September 2011. p.553	en_US
dc.description.abstract	University website is one of the main sources for prospective international students to gain information at the preliminary stage before deciding to study abroad. This research aims to cluster university websites –specifically Taiwanese university websites, based on several criteria. The clustering is done by Fuzzy C-Means Clustering Method, where the number of clusters is 4. Among sixteen universities, the best cluster contains CYCU and STUT. They provide almost everything on the very first page of the website in a clear and concise terms. The worst cluster contains NTU, NTIT, and FCU. They generally have rather confusing layout with row and column menus, as well as the usage of confusing terms. Apparently, the Big-4 (NTU, NTHU, NCTU, NCKU) does not have superior websites compared to the other universities.	en_US
dc.language.iso	en	en_US
dc.publisher	2011 IESS	en_US
dc.subject	Clustering	en_US
dc.subject	Fuzzy	en_US
dc.subject	Website	en_US
dc.title	Fuzzy-Clustering Taiwanese University Websites	en_US
dc.type	Conference Papers	en_US