Volume 18, No. 2, 2021
The Main Component of Smart Tourism: A Principal Component Analysis Approach
Ruci Meiyanti, Dana Indra Sensuse and Yudho Giri Sucahyo
Abstract
Introduction: The establishment of a smart tourism model is indispensable for the effectiveness of tourism development and management supported by advances in information and communication technology. The successful implementation of smart tourism is determined by the smart tourism model. Determination of the main components has a significant role in building an effective model. The purpose of this study: To determine the main components forming a smart tourism model using Principal Component Analysis (PCA). PCA is used to compress variables by reducing the number of dimensions, without losing much information. Method: This research method is a quantitative method using SPSS software version 22. Result: The result obtained 9 main components, namely stakeholders, infrastructure, goals, resources, activities, challenges, innovation in various applications, strategies, and use of information and communication technologies. Conclusion: Those main components are expected to construct a smart tourism model with components that are comprehensive, interrelated, and adaptable.
Pages: 295-307
DOI: 10.14704/WEB/V18I2/WEB18322
Keywords: Principal Component Analysis, Main Component, Model, Smart Tourism.