Uji Validitas dan Reliabilitas Pengukuran Kepuasan Pengguna RME dengan Metode EUCS
DOI:
https://doi.org/10.55606/jurrikes.v4i2.5255Keywords:
User satisfaction, Electronic Medical Record, Validity, Reliability, EUCSAbstract
This study aims to examine the validity and reliability of user satisfaction measurement for the Electronic Medical Record (EMR) system using the End User Computing Satisfaction (EUCS) approach. The five dimensions analyzed include content, accuracy, format, ease of use, and timeliness. Data were collected from 55 respondents, who were medical records staff at Dr. Moewardi General Hospital. The results show that all dimensions have Cronbach's Alpha values above 0.80, indicating a high level of reliability. The corrected item-total correlations also confirm strong construct validity. These findings demonstrate that the instrument used to measure user satisfaction with the EMR system is both valid and reliable, and can serve as a basis for continuous evaluation and development of health information systems.
Downloads
References
Abu-Dalbouh. (2013). A questionnaire approach based on the technology acceptance model for mobile tracking on patient progress applications. Journal of Computer Science, 9(6), 763–770. https://doi.org/10.3844/jcssp.2013.763.770
Ajami, S., & BagheriTadi, T. (2013). Barriers for adopting electronic health records (EHRs) by physicians. Acta Informatica Medica, 21(2), 129–134. https://doi.org/10.5455/aim.2013.21.129-134
Alasmary, W., El Metwally, A., & Househ, M. (2020). The association between the use of health information technology and the quality of care. Healthcare, 8(1), 1–7.
Alshibly, H. H. (2014). Evaluating E-HRM success: A validation of the information systems success model. International Journal of Human Resource Studies, 4(3), 107–124. https://doi.org/10.5296/ijhrs.v4i3.6015
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12(2), 259–274. https://doi.org/10.2307/248851
Ghozali, I. (2018). Aplikasi analisis multivariate dengan program IBM SPSS 25. Badan Penerbit Universitas Diponegoro.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Kilsdonk, E., Peute, L. W., & Jaspers, M. W. M. (2017). Factors influencing implementation success of guideline-based clinical decision support systems: A systematic review and gaps analysis. International Journal of Medical Informatics, 98, 56–64. https://doi.org/10.1016/j.ijmedinf.2016.12.001
Kuo, Y. F., Yang, C. Y., Wu, C. H., & Lin, C. C. (2011). The use of mobile EMR for doctor-patient relationship and its impact on medical service quality. Technological Forecasting and Social Change, 78(4), 610–620.
McHaney, R., Hightower, R., & Pearson, J. M. (2002). A validation of the end-user computing satisfaction instrument in Taiwan. Information & Management, 39(6), 503–511. https://doi.org/10.1016/S0378-7206(01)00120-4
Nguyen, L., Bellucci, E., & Nguyen, L. T. (2014). Electronic health records implementation: An evaluation of information system impact and contingency factors. International Journal of Medical Informatics, 83(11), 779–796. https://doi.org/10.1016/j.ijmedinf.2014.06.011
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236–263. https://doi.org/10.1057/ejis.2008.15
Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 50–69. https://doi.org/10.1287/isre.13.1.50.96
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). Wiley.
Sugiyono. (2021). Metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Zhang, X., & Wan, G. (2017). Factors influencing physicians’ attitudes toward electronic medical records: A systematic review. Health Informatics Journal, 23(4), 287–297. https://doi.org/10.1177/1460458216646750
Zhang, L., Liu, R., Jiang, S., Luo, G., & Liu, H.-C. (2019). Identification of key performance indicators for hospital management using an extended hesitant linguistic DEMATEL approach. Healthcare, 8(1), 7. https://doi.org/10.3390/healthcare8010007
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 JURNAL RISET RUMPUN ILMU KESEHATAN

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
_001.jpg)




