Customer Satisfaction Evaluation At Sapadia Guest House Through Servqual And Csi Approaches Based On Information Systems

Authors

  • Chrisdian Damanik Faculty of Technology and Computer Science, Universitas Prima Indonesia, Indonesia
  • Vicky Drago Faculty of Technology and Computer Science, Universitas Prima Indonesia, Indonesia
  • Melan Windasari Siallagan Faculty of Technology and Computer Science, Universitas Prima Indonesia, Indonesia
  • Okta Jaya Harmaja Faculty of Technology and Computer Science, Universitas Prima Indonesia, Indonesia

DOI:

https://doi.org/10.51601/ijse.v5i2.120

Abstract

This study aims to evaluate customer satisfaction levels at Guest House Sapadia by integrating the SERVQUAL method and the Customer Satisfaction Index (CSI) within an information system-based framework. The SERVQUAL method is employed to assess service quality across five core dimensions: Tangibles, Reliability, Responsiveness, Assurance, and Empathy. Concurrently, the CSI method provides a quantitative overview of overall customer satisfaction, grounded in the perception and relative importance of each service attribute. Data were collected via an online questionnaire completed by 184 respondents and processed through a web-based information system to generate interactive visualizations and automated analyses. The results indicate that Guest House Sapadia achieved a CSI score of 84.57%, which falls under the "satisfied" category, with the Assurance and Reliability dimensions receiving the highest ratings. However, the Tangibles and Responsiveness dimensions require improvement. This study offers strategic recommendations for service enhancement and demonstrates that the implementation of information technology can significantly streamline and facilitate continuous customer satisfaction evaluation.

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Published

2025-07-01

How to Cite

Damanik, C. ., Drago, V. ., Windasari Siallagan, M., & Jaya Harmaja, O. . (2025). Customer Satisfaction Evaluation At Sapadia Guest House Through Servqual And Csi Approaches Based On Information Systems. International Journal of Science and Environment (IJSE), 5(2), 213–219. https://doi.org/10.51601/ijse.v5i2.120

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