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All Journal INFORMAL: Informatics Journal Economic Reviews Journal
Astari Retnowardhani
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Computer Science & IT Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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User Technology Readiness and Acceptance of Mobile Human Resources Information Application Nia Kurnia Mawaddah; Astari Retnowardhani
INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i1.35540

Abstract

The Mobile Human Resource Application was developed to provide convenience for users. However, in the implementation phase, they have not been used by all users. There are several reasons users do not use the application, namely, employees often forget because they are not ready to use new applications, employees often fail to absent because there are some bugs at the beginning of implementation where the support team is not ready to help users and the employees’ insecurity when making a presentation using the face and location. The purpose of this study is to conduct empirical testing of the factors that influence the readiness and acceptance of users of the Mobile Human Resources Application. The Technology Readiness and Acceptance Model (TRAM) integrates technology readiness with technology acceptance into one model. TRAM is used to determine the effect of technology readiness on acceptance of the perceived ease of use factor and perceived usefulness will affect the intention to use. The result of the study showed that the Innovativeness and Perceived Ease of Use significantly influenced user technology readiness and acceptance of mobile human resources information application. Innovativeness dimensions of technology readiness have positive and significant effects on perceived ease of use. Perceived ease of use dimensions of technology acceptance has positive and significant effects on perceived usefulness and intention to use Mobile Human Resources.
Optimization of Application Testing in Financial Companies Using Robotic Process Automation (RPA) Finsyen Ilham Erdi; Astari Retnowardhani
Economic Reviews Journal Vol. 3 No. 4 (2024): Economic Reviews Journal
Publisher : Masyarakat Ekonomi Syariah Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mrj.v3i4.595

Abstract

In the rapidly evolving era of digitalization, financial companies face the challenge of enhancing efficiency and accuracy in application testing processes. Manual testing, which is time-consuming and prone to human error, is a major obstacle in ensuring the reliability of applications. This study aims to optimize the application testing process in financial companies by implementing Robotic Process Automation (RPA) as a tool for automated testing. The methodology used includes the analysis of testing requirements, selection of the appropriate RPA tools, and the implementation and performance evaluation of the RPA system. The results of the study indicate that the implementation of RPA can reduce testing time and improve error detection accuracy. For the partner application, there are a total of 6 test sets, 31 test cases, 31 scenarios, and 112 test steps. Meanwhile, for the sales application, 6 test sets, 29 test cases, 29 scenarios, and 115 test steps were identified. Using RPA, the duration of manual testing, which was previously limited to 8 hours per day, significantly increased to 24 hours per day, allowing continuous testing without human intervention. The number of test cases handled increased from 7 cases per day to 63 cases per day, indicating a significant improvement in efficiency. The number of test steps also increased from 328 steps per day to 2952 steps per day. The implementation of RPA also positively impacted accuracy by reducing human errors that frequently occur in manual testing. Overall, this study demonstrates that the application of RPA in testing applications at AMF Finance significantly improves the capacity, efficiency, and accuracy of the application testing process.
Co-Authors Finsyen Ilham Erdi Nia Kurnia Mawaddah