Support system of self-assessment and gap analysis for new normal tourism standards

Soawanee Prachayagringkai (King Mongkut’s University of Technology North Bangkok (KMUTNB))
Marut Buranarach (National Electronics and Computer Technology Center, Pathum Thani)
Pongpisit Wuttidittachotti (King Mongkut’s University of Technology North Bangkok (KMUTNB))

Indonesian Journal of Electrical Engineering and Computer Science
Vol 29, No 1: January 2023

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).