Enthusiastic : International Journal of Applied Statistics and Data Science
Volume 4 Issue 1, April 2024

Analyzing Tourist Satisfaction Using Factor Analysis and Text Mining: An Ecotourism Study in Girpasang Village

Kariyam (Unknown)
Tasya Apriliana (Unknown)
Nur Aulia Maknunah (Unknown)
Hafis Muhammad Nizam (Unknown)
Rizky Mardhatillah (Unknown)
Nova, Rahma Fatwa (Unknown)



Article Info

Publish Date
28 Apr 2024

Abstract

In the second half of 2022, the tourism industry started recovering from the vast impacts of the COVID-19 pandemic. Tourism is one of the most feasible sources of income for the small, rural village of Girpasang, situated at the heights of Mount Merapi. Tourist satisfaction has been attributed to the success of tourist destinations and is, therefore, a benchmark for their development. This study aimed to explain the factors that affected tourist satisfaction and other underlying aspects that call for improvement, using confirmatory factor analysis and text mining. The data used was collected from a total of 102 respondents at Girpasang Village within two days. The results showed that there were five common factors affecting tourist satisfaction: staff attitude, reliability of tourist facilities, comfort of tourist facilities, comprehensiveness of facilities provided, and tangible condition of the environment. Based on text mining results of tourist critics, it was found that access roads were the most profound complaint.

Copyrights © 2024






Journal Info

Abbrev

ENTHUSIASTIC

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics

Description

ENTHUSIASTIC is an international journal published by the Statistics Department, Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia. ENTHUSIASTIC publishes original research articles or review articles on all aspects of the statistics and data science field which should be ...