International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Oct. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 79
Paper Published : 1191
No. of Authors : 2992
  Journal Paper

Paper Title
Intelligent Decision Support System For Tourism Planning Using Integration Model Of K-Means Clustering And Topsis

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


Author - Ahlihi Masruro, Ferry Wahyu Wibowo

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| Published on 2016-01-30
   
   
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