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Evaluation of Primary Care Application Users in the First Class Clinic in Pekanbaru District on Human, Organization and Technology Factors Using the EUCS Method

机译:使用EUCS方法对Pekanbaru区第一类诊所的初级护理应用用户评估

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The success of an organization's information system depends on the implementation of the system, the ease of the system for the users, and the utilization of the technology used. Program evaluation is essential and useful, especially for decision makers. User's satisfaction of Primary Care application is a necessity to ensure the performance of service reporting to BPJS. To measure the satisfaction level of the Primary Care application, the End-User Computing Satisfaction (EUCS) method is applied. The study aims to find out the correlation between human, organization, and technology toward EUCS (End User Computing Satisfaction at First-Class Clinics, Pekanbaru). This type of research is quantitative cross sectional research with Primary Care information system as the object. The variables studied were HOT (human, organization, and technology) independent variable and EUCS dependent variable (End User Computing Satisfaction). The research subject is Primary Care information system operator with a sample of 89 pre-existing clinics in Pekanbaru district which were taken in total sampling. The result of the study shows that human has a significant positive effect on Computing Satisfaction with p value 0.000, technological factors with p value 0.001 and organizational factors with p value 0.020. Conformity between components of the HOT model is broadly appropriate, but there needs to be improvement and refinement as to increase the quantity of conformity between these components.
机译:组织信息系统的成功取决于系统的实施,为用户提供了易于使用的系统。计划评估至关重要和有用,特别是对于决策者。用户对初级保健应用的满意是确保服务报告对BPJ的表现。为了测量初级保健应用的满意度,应用最终用户计算满意度(EUC)方法。该研究旨在了解对EUC的人,组织和技术之间的相关性(在一流的诊所,Pekanbaru)的最终用户计算满意度)。这种研究是用初级保健信息系统定量横截面研究作为对象。研究的变量是热(人,组织和技术)独立变量和EUC依赖变量(最终用户计算满意度)。研究主题是初级保健信息系统运营商,PEKANBARU区的89个预先存在的诊所样本是在总抽样中进行的。该研究的结果表明,人们对计算满意度与P值0.000,P值0.001的技术因素和P值0.020的组织因素具有显着的积极影响。热模型的组件之间的符合性广义适当,但需要改善和改进,以增加这些组件之间的符合性的量。

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