Revisit Intention Regression Model of Agritourism Destinations of Pelaga and Buyan-Tamblingan, Bali, Indonesia

Turkish Journal of Computer and Mathematics Education (TURCOMAT), 8 May 2021 Vol. 12: No. 6

9 Pages Posted: 23 Sep 2020 Last revised: 10 May 2021

Date Written: May 8, 2021

Abstract

This investigation was driven in Pelaga and Buyan-Tamblingan Area was organized using a research study that about 500 respondents for the start of 2020 and dictated by an accidental sampling method. The statistical analysis uses multiple linear regression, ANOVA, and R square to make an investigation conclusion. Main findings are simultaneously predictors variables consisting of beautiful scenery, most recently facilities, unique attractions, completeness of facilities, close distance, easy transportation, easy to reach location, and community hospitality significantly influence variable dependent intention to visit with influence strength of the determinant value at 0.539 or 53.9%. This study will enable the marketing practitioners to better understand the motivation of visitors to visit agritourism areas. Some predictor variables that significantly influence the intention to visit are the latest facilities, unique attractions, easy to reach location, and community hospitality.

Keywords: tourism, agritourism, tourist destination, unique attractions, community hospitality

Suggested Citation

Utama, I.G.B.R., Revisit Intention Regression Model of Agritourism Destinations of Pelaga and Buyan-Tamblingan, Bali, Indonesia (May 8, 2021). Turkish Journal of Computer and Mathematics Education (TURCOMAT), 8 May 2021 Vol. 12: No. 6 , Available at SSRN: https://ssrn.com/abstract=3669741

I.G.B.R. Utama (Contact Author)

Universitas Dhyana Pura ( email )

Br. Tegaljaya, Dalung, Kuta Utara
Badung, Bali
Denpasar, Bali 80351
Indonesia
+62361426450 (Phone)
+62361426452 (Fax)

HOME PAGE: http://www.undhirabali.ac.id

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
30
Abstract Views
142
PlumX Metrics