Intelligent Decision Support System for Tourism Planning Using Integration Model of K-Means Clustering and Topsis
A tourism issues are most competitive issue among countries, because the tourists arenít 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