Open AccessThe Main Component of Smart Tourism: A Principal Component Analysis Approach
Author(s) -
Ruci Meiyanti,
Dana Indra Sensuse,
Yudho Giri Sucahyo
Publication year - 2021
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v18i2/web18322
Subject(s) - tourism , principal component analysis , component (thermodynamics) , construct (python library) , computer science , principal (computer security) , information technology , systems engineering , knowledge management , engineering , artificial intelligence , geography , computer security , physics , archaeology , thermodynamics , programming language , operating system
. 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.