Webology, Volume 18, Number 2, December, 2021 295 http://www.webology.org The Main Component of Smart Tourism: A Principal Component Analysis Approach Ruci Meiyanti Faculty of Computer Science, University of Indonesia, Jakarta, Indonesia. E-mail: ruci.meiyanti@ui.ac.id Dana Indra Sensuse Faculty of Computer Science, University of Indonesia, Jakarta, Indonesia. Yudho Giri Sucahyo Faculty of Computer Science, University of Indonesia, Jakarta, Indonesia. Received March 23, 2021; Accepted July 20, 2021 ISSN: 1735-188X DOI: 10.14704/WEB/V18I2/WEB18322 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. Keywords Principal Component Analysis, Main Component, Model, Smart Tourism. Introduction Smart tourism is one of the strategies used to increase the number of tourist visitors and state revenue through the tourism sector with the support of technological advances. The