Dominance Analysis to Determine Important Features of Visitors of A Safari Park

Abstract

Dominance analysis is a development of regression analysis that can sort the relative importance of explanatory variables. In this research, dominance analysis applied to data of visitors of a safari park in Bali with 18 explanatory variables. This research aims to sort the features that affect visitors to revisit safari park in the future. The result of this research, there are five explanatory variables that significantly affected the visitors to revisit this safari park and the ranking of the features are price, unique animals, diversity, authenticity, and excitements of features in safari park. This analysis simulates process of selecting bootstrap samples to investigate performance of inferential methods. Reproducibility value used to identify the consistency from using dominance analysis that produced from bootstrap samples. The reproducibility value indicates three priority groups, the first group is price, the second group is unique animals, and the last group is diversity, authenticity, and excitements of features in safari park.