Factor analysis satisfaction levels of users toward the JKN mobile application in the COVID-19 Era using the PIECES framework

Randa Gustiawan, Ulung Pribadi
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Abstract

This study aimed to prove the researcher's hypothesis regarding users’ factor analysis satisfaction of the Mobile JKN application in the Covid-19 era in Sungai Penuh City using the PIECES framework. The measurement variables of the PIECES framework were performance, information, economy, control, efficiency, and service. In this study, researchers used quantitative descriptive methods with data sources from questionnaires via google form with 101 respondents, and data processing was carried out using SEM-pls. The results of this study indicated the value of R square was 0.732. It can be concluded that the interpretation of the users’ satisfaction level of the application was 73.2%, which R-square identifies in the Strong/Good category. Several PIECES variables that has a significant effect on people's satisfaction with the JKN mobile application were efficiency and performance variables with P values of 0.004 and 0.033 while variables that did not have significant effect were control, economy, information and services.
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使用PICES框架对新冠肺炎时代用户对JKN移动应用程序的满意度进行因子分析
本研究旨在使用PICES框架证明研究人员关于新冠肺炎时代Sungai Penuh市移动JKN应用程序用户因素分析满意度的假设。PIECES框架的测量变量是绩效、信息、经济、控制、效率和服务。在这项研究中,研究人员使用定量描述方法,通过谷歌表单对101名受访者进行问卷调查,并使用SEM pls进行数据处理。本研究的结果表明,R平方的值为0.732。可以得出结论,用户对应用程序的满意度解释为73.2%,R-square将其确定为强/好类别。对人们对JKN移动应用程序的满意度有显著影响的几个PIECES变量是效率和性能变量,P值分别为0.004和0.033,而没有显著影响的变量是控制、经济、信息和服务。
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