Pengaruh performa layanan Cloud Storage Google Drive terhadap tingkat kepuasan pengguna menggunakan metode regresi linear
Abstract
In the era of information technology, Cloud Storage services, particularly Google Drive, play a crucial role in storing and managing data. This research aims to analyze the impact of Google Drive’s performance on user satisfaction. Performance factors focused on include service response time, data transfer speed, and service availability. Using the linear regression method, this study measures the relationship between independent and dependent variables. The research employs a quantitative approach with linear regression to analyze the impact of Google Drive’s performance on user satisfaction. Data were obtained through an online survey with a structured questionnaire assessing user perceptions of service performance and their satisfaction levels. The results show no significant multicollinearity issues, and the residual distribution tends to be normal. Residual Plot and Q-Q Plot confirm homoscedasticity and normality of the residual distribution. The linear regression model indicates that service response time, data transfer speed, and service availability collectively contribute to user satisfaction. This research is expected to contribute to the development of Cloud Storage services and provide a better understanding of user needs.
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