The Relationship Between Customer Relationship Management (CRM) and Consumer Satisfaction at Hotel Puri Insan Asih (PIA) Pandan
Keywords:
Customer Relationship Management, Consumer SatisfactionAbstract
This study aims to examine whether there is a relationship between Customer Relations Management (CRM) and consumer satisfaction at the Puri Insan Asih (PIA) Pandan Hotel. To address this issue, a qualitative descriptive research design and quantitative analysis were used. The population of this study consists of all employees at the Puri Insan Asih (PIA) Pandan Hotel, totaling 71 individuals. Since the population is fewer than 100 people, the entire population of 71 individuals was taken as the sample. In addition to determining the sample or respondents, research informants were also selected, specifically the leadership elements within the organization. The research findings indicate that there is a relationship between Customer Relations Management (CRM) and consumer satisfaction at the Puri Insan Asih (PIA) Pandan Hotel. To verify the relationship and the influence between variables X and Y, several statistical tests were conducted. The correlation result showed a very strong correlation, with a value of 0.746. To examine the effect, the coefficient of determination was calculated to be 55.6%, which indicates that the independent variable (Customer Relations Management) influences consumer satisfaction, while the remaining 44.4% is influenced by other variables not discussed in this study, such as human resources quality, facility and infrastructure completeness, employee performance, and others. Based on the simple linear regression model, the regression equation Y = 13.250 + 0.715 (Customer Relations Management) indicates that a certain increase in the X variable (CRM) will lead to an increase in the Y variable (consumer satisfaction) multiplied by the given coefficient value. From the hypothesis test, the calculated t-value was greater than the t-table value (7.335 > 1.995), leading to the acceptance of the alternative hypothesis (Ha), meaning that the hypothesis proposed in Chapter I is supported.
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