DOIONLINE

DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-3734

Publish In
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN
Journal Home
Volume Issue
Issue
Volume-4,Issue-1  ( Jan, 2016 )
Paper Title
Intelligent Decision Support System For Tourism Planning Using Integration Model Of K-Means Clustering And Topsis
Author Name
Ahlihi Masruro, Ferry Wahyu Wibowo
Affilition
Informatics Engineering Department, STMIK AMIKOM Yogyakarta, Indonesia
Pages
52-57
Abstract
A tourism issues are most competitive issue among countries, because the tourists aren’t only international tourists, but also domestic tourists. To organize and forecast the visiting of the tourists using some criteria could implement intelligent decision support system (IDSS). The IDSS is the inter-discipliner major such as information systems, artificial intelligence, and decision science. In this paper the criteria which have been chosen to obtain optimization on the tourism planning is processed using two methods that are K-Means clustering and Technique for Order of Preference by Similarity to Ideal Solution abbreviated as TOPSIS method. For the validity of the measurement value is tested using partition coefficient (PC) and modified partition coefficient (MPC). Keywords- Decision Support System, Intelligent, K-Means, TOPSIS, Tourism
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