Applying Path Analysis on Service Quality to Users’ Satisfaction and Intensity Using Delone and Mclean Method at Jember Paru Hospital in 2017
Dony Setiawan Hendyca Putra, Ady Soesetijo, Saiful Bukhori · International Journal of Innovative Research and Development · 2017
The management information system of hospital denotes an attempt to provide accurate, timely, and apt information so as to support managerial functions and decision making in providing health service at hospital. Manual data management is fraught with downsides, due to not only requiring long time, but also hardly acceptable accuracy as it error margin is so huge. Problems faced by the user of hospital management information system were obtained from interview results, inter alia, 1) service quality: users found it difficult to input data; 2) users' and system users' intensity: users did not implement hospital management information system using tablet (Android smartphone) provided by hospital management; 3) users' satisfaction: the researcher's survey finding as seen from the subjectivity of system users, from which 9 heads of installation voiced their opinion; 4 persons stated satisfaction, and 5 persons indicated disatisfaction. The present study was projected to analyze the influence of system quality to users' satisfaction and intensity. The study was quantitative analytical in nature, which was coupled with cross-sectional approach. It delved into determining hypothesis concerning where there was direct influence of exogenous variable, system quality, to endogenous variable, users' intensity. The findings evinced that service quality exerted significant influence to users' satisfaction as corroborated by black figure of 5.22. Users' satisfaction significantly influenced users' intensity, indicated by black figure of 3.28. As a result, the study concludes that information quality is directly influential to users' intensity. Backgrounded by the research findings, the hospital is recommended to retain the service quality of its management information system for optimal service to patients.