PENGARUH ATRIBUT PRODUK WISATA, ELECTRONIC WORD OF MOUTH DAN PROMOSI TERHADAP KEPUTUSAN BERKUNJUNG KE OBYEK WISATA BRUJUL ADVENTURE PARK KEBUMEN

S. Azizah
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Abstract

This research aims to test the effect of tourism product attributs, electronic word of mouth and promotion of tourist decision to visiting tourist attraction Brujul Adventure Park Kebumen. This research is motivated by a  in the increasing number of tourists who visited that attraction Brujul Adventure Park (BAP) Kebumen.The collection of data by using a questionnaires with a number of samples 100 respondents who visited attraction Brujul Adventure Park (BAP) and find out Brujul Adventure Park (BAP) information via internet. This research method, using the technique of non-probability sampling with purposive sampling method. Data obtained from questionnaires, then processed and analyzed using multiple linear regression analysis through the SPSS 23 software.The result of this research shows that independent variables the tourism product attributs, and electronic word of mouth has a positive and significant effect on the dependent variable that is the decision to visit by using t test. While the attributes of tourism products have no significant effect on the decision of visiting by using t test. Then through f test shows that the three independent variables are proper to examine the dependent variable. Adjusted R Square of 0,683 shows that the independent variables can explain 68,3% the dependent variable that is decision to visit, while the remaining 31,7% is explained by other variables outside of variable that used in this research.
WISATA产品、电子口碑和推广的收入关系到关于WISATA BRUJUL冒险公园KEBUMEN目标的决定
本研究旨在检验旅游产品属性、电子口碑和游客决策促进对旅游景点布鲁日尔探险公园科布门的影响。这项研究的动机是越来越多的游客参观了景点Brujul Adventure Park (BAP) Kebumen。本研究采用问卷调查的方式收集数据,问卷调查的样本数量为100份,受访者分别访问了布鲁日尔冒险公园(BAP)景点,并通过互联网了解了布鲁日尔冒险公园(BAP)的信息。本研究方法,采用非概率抽样技术结合目的性抽样方法。数据来源于问卷调查,通过SPSS 23软件进行多元线性回归分析。研究结果表明,旅游产品属性为自变量,电子口碑对旅游决策为因变量具有显著的正向影响。通过t检验,旅游产品属性对旅游决策的影响不显著。然后通过f检验表明三个自变量都是合适的,可以检验因变量。调整后的R平方为0,683,表明自变量可以解释决定访问的因变量的68.3%,而其余的31.7%是由本研究中使用的变量之外的其他变量解释的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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