产品种类繁多,位置美不胜生

Talitha Marta Ainillah, Erie Hidayat Sukriadi, A. Muchtar
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引用次数: 0

摘要

本研究旨在确定产品多样性和地理位置对万隆De'Tuik Resto & Resort万隆旅游兴趣的影响。本研究采用描述性分析和验证性分析相结合的定量方法。数据收集技术采用问卷调查的方式,向100名受访者分发问卷。分析方法有效度检验、信度检验、多元线性回归分析、相关系数、决定系数、t检验和F检验。使用SPSS 20进行假设检验。本研究的结果表明,所有的陈述项目都是有效和可靠的。多元线性回归检验结果表明,旅游兴趣即产品多样性和地点多样性变量对旅游兴趣有显著的正向影响。相关分析结果表明,各变量之间的相关性为强。此外,从F检验中得出Fhitung 207,432大于Ftabel 3.09,因此Ho被拒绝,Ha被接受意味着产品和地点的可变多样性显著影响了参观De'Tuik Resto & Resort的兴趣。决定系数(R²)的计算结果为0.810。结果表明,产品和地点的多样性(自变量)对游客兴趣(因变量)的影响为81%,其余19%受到本研究未研究的其他变量的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pengaruh Keragaman Produk dan Lokasi Terhadap Minat Berkunjung di De’tuik Resto & Resort Bandung
This research aimed to determine the effect of product diversity and location both partial and simultaneous on the interest in visiting De'Tuik Resto & Resort Bandung. The research used quantitative methods with descriptive analysis and verificative analysis. Data collection technique employed a questionnaires by distributing questionnaires to a sample of 100 respondents. The analytical methods used are Validity Test, Reliability Test, Multiple Linear Regression Analysis, Correlation Coefficient, Determination Coefficient, t Test and F Test. Hypothesis testing using SPSS 20 for Windows. The results of this research indicate that all statement items are valid and reliable. Multiple linear regression test results have a significant and positive effect on visiting interests, namely variables in product and location diversity. The results of correlation analysis showed that the relation between variables was categorized as strong. In addition, from the F test produced Fhitung 207,432 is greater than Ftabel 3.09 so that Ho was rejected, Ha accepted means that the variable diversity of products and locations significantly affects the interest in visiting De'Tuik Resto & Resort. The calculation of the coefficient of determination (R²) resulted in a value of 0.810. The values showed that together the diversity of products and locations (independent variables) had an effect on visiting interests (dependent variables) by 81% and the remaining 19% were influenced by other variables not studied in this research.
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