ANALISIS KEPUASAN PENGGUNA WEBSITE ORLANSOFT MENGGUNAKAN METODE WEBQUAL 4.0

S. Nurlela, M. Ilham, S. Supriatna
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Abstract

Orlansoft website is an ERP (Enterprise Resource Planning) solution that unifies business operations into a single system that integrates and optimizes business processes and provides real-time critical information for all entities and office locations from a single source. PT Multifortuna Sinardelta, in its business processes, uses the Orlansoft website. The quality of the website greatly affects the level of user satisfaction itself. The higher the quality of a website, the more users will access the website. So far, there is no appropriate method and way to measure user quality of the Orlansoft website. This research examines the extent of user satisfaction in using website services. The Webqual 4.0 method has been successfully applied to similar research with website quality measurement and helps to understand the factors that affect user satisfaction, with three measurement categories including usability, information quality and service interaction quality. From the test results, the calculated F value = 11.536 with a significance of 0.0000011. In this study, the calculated F value is 11.536> F table 2.81 and the significance value is 0.0000011 <0.01, thus it can be concluded that variables X1 (usability quality), X2 (information quality), and X3 (service interaction quality) have a significant and positive effect on variable Y (user satisfaction). This is evidenced by the results of the analysis which gives positive results for each variable on the dependent variable.
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使用 Webqual 4.0 方法对 Orlansoft 网站进行用户满意度分析
Orlansoft网站是一个ERP(企业资源规划)解决方案,它将业务运营统一到一个系统中,整合并优化业务流程,从单一来源为所有实体和办公地点提供实时关键信息。PT Multifortuna Sinardelta 在其业务流程中使用 Orlansoft 网站。网站的质量在很大程度上影响着用户满意度本身。网站质量越高,访问网站的用户就越多。迄今为止,还没有合适的方法和途径来衡量 Orlansoft 网站的用户质量。本研究探讨了用户在使用网站服务时的满意程度。Webqual 4.0 方法已成功应用于类似的网站质量测量研究,有助于了解影响用户满意度的因素,其测量类别包括可用性、信息质量和服务交互质量三个方面。从检验结果来看,计算出的 F 值 = 11.536,显著性为 0.0000011。在本研究中,计算出的 F 值为 11.536>F 表 2.81,显著性值为 0.0000011 <0.01,因此可以得出结论:变量 X1(可用性质量)、X2(信息质量)和 X3(服务交互质量)对变量 Y(用户满意度)有显著的正向影响。分析结果证明了这一点,即每个变量对因变量的影响都是正向的。
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