-
Support system of self-assessment and gap analysis for new normal tourism standards
- Back
Document Title
Support system of self-assessment and gap analysis for new normal tourism standards
Author
Prachayagringkai S. Buranarach M. Wuttidittachotti P.
Affiliations
Department of Information Technology Faculty of Information Technology and Digital Innovation King Mongkut抯 University of Technology North Bangkok Bangkok Thailand; Department of Data Science and Analytics Research Group National Electronics and Computer Technology Center Pathum Thani Thailand; Department of Digital Network and Information Security Management Faculty of Information Technology and Digital Innovation King Mongkut抯 University of Technology North Bangkok Bangkok Thailand
Type
Article
Source Title
Indonesian Journal of Electrical Engineering and Computer Science
ISSN
25024752
Year
2023
Volume
29
Issue
1
Page
384-395
Open Access
All Open Access Gold Green
Publisher
Institute of Advanced Engineering and Science
DOI
10.11591/ijeecs.v29.i1.pp384-395
Abstract
Tourism after the outbreak of the emerging epidemic of COVID-19 has drastically changed. Tourist attractions will be certified with Green National Park and New Normal Standards. Starting in the year 2021 onwards Thailand s national parks are important tourist destinations of which 155 nationwide will be subject to complying with such standards to ensure safety hygiene and environmentally friendly service starting in the year 2021 onwards. This research aims to develop a support system for self-assessment and gap analysis based on Smart Self-Assessment for New Normal Tourism Standards to enable the national parks to assess themselves and be prepared for future actual assessments. The system development focuses on user data import design and report output system performance test self-assessment score percentage difference tests and system performance evaluation by the experts. The percentage difference of self-assessment scores is found at 0.0 for all items after adding details in some of the work lists based on the experts� opinions whereas the performance testing indicates that the system developed is applicable and highly efficient (= 4.40 S.D.= 0.54). ? 2023 Institute of Advanced Engineering and Science. All rights reserved.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
License
CC BY-SA
Rights
Institute of Advanced Engineering and Science
Publication Source
Scopus