Group Decision Support System to Selection Tourism Object in Bali Using Analytic Hierarchy Process (AHP) and Copeland Score Model

Abstract

This paper purpose to combine the GDSS framework with AHP and Copeland Score Model. The framework model is used to ranking popular tourism object in Bali. Tourism became one of the main factors in the development of an area. One of the famous tourist destinations in Indonesia is the province of Bali. Bali becomes a world tourism destination because of its culture and there are hundreds of tourism objects in Bali spread in every district. Each tourist object has beautiful characteristics and panoramas but not all tourist object have a high level of visits. There is an deferences between one tourist objects with the other, affecting the number of tourist visits. To overcome these problems by knowing the characteristics each tourism object that is done through the ranking process. The assessment and ranking process involves various parties related to tourism objects such as tourism, community, academia, government, and entrepreneurs. The model used is the Analytic Hierarchy Process (AHP) algorithm, which is used to rank tourism objects individually and combine ranking results, using the Copeland score model. In the Copeland score model, each object has a weight that is different from each other. The next ranking becomes a reference for improving the assessment criteria of each tourism object. The results showed that the tourism object of Uluwatu is the first rank, with an assessment of 8.1 and Taman Ayun obtaining the last rank with a value of 1. Analysis of sensitivity and risk by changing the characteristic weights on the criteria by giving a high point has an impact on ranking changes.