Analisis Faktor Kualitas Informasi Aplikasi SAMBARA Pajak Kendaraan Bermotor di Jawa Barat

Rizka Hayya, Nelsi Wisna, Irman Hariman
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Abstract

The high level of motor vehicle tax achieved in West Java is closely linked to public awareness in paying their vehicle tax. However, tax revenues still face issues. This research investigates the impact of the Sambara application's quality on the quality of information provided. The information quality variable is crucial as it ensures users receive accurate, relevant, and timely information, affecting the overall user experience. The research aims to examine the correlation between the level of Sambara application information and the application's overall quality and measure how information quality influences the application's overall assessment. Data was acquired by administering a questionnaire using a basic random sample technique based on the motor vehicle population in West Java. The research is conducted with simple linear regression calculations to produce predictive answers and hypotheses. Results indicate a correlation of a favorable nature between the application's quality and the information quality provided. Improving the Sambara application's quality enhances the information quality received by users. The R²-Score of 0.67798 shows that approximately 67.798% of the variability in information quality assessment can be explained by the application's quality
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西爪哇机动车税 SAMBARA 应用程序信息质量的因子分析
西爪哇省的机动车辆税收水平较高,这与公众缴纳车辆税的意识密切相关。然而,税收收入仍然面临问题。本研究调查了 Sambara 应用程序的质量对所提供信息质量的影响。信息质量变量至关重要,因为它能确保用户获得准确、相关和及时的信息,从而影响整体用户体验。本研究旨在考察 Sambara 应用程序信息水平与应用程序整体质量之间的相关性,并衡量信息质量如何影响应用程序的整体评估。数据的获取采用了基于西爪哇机动车人口的基本随机抽样技术,通过发放调查问卷的方式进行。研究通过简单的线性回归计算得出预测性答案和假设。结果表明,应用程序的质量与所提供的信息质量之间存在良好的相关性。提高 Sambara 应用程序的质量可以提高用户接收信息的质量。0.67798 的 R² 值表明,约 67.798% 的信息质量评估变异可以用应用程序的质量来解释
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