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All Journal Ilomata International Journal of Tax and Accounting Jurnal Magister Akuntansi Trisakti
Haryono Umar
Perbanas Institute Jakarta
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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THE INFLUENCE OF COMPENSATION JUSTICE FACTORS, GOVERNMENT INTERNAL CONTROL SYSTEMS, AND ORGANIZATIONAL ETHICS ON CORRUPTION IN THE GOVERNMENT SECTOR WITH LAW ENFORCEMENT AS A MODERATING VARIABLE Alexander Mychael Silaban; Haryono Umar
Jurnal Magister Akuntansi Trisakti Vol. 10 No. 1 (2023): Maret
Publisher : LEMBAGA PENERBIT FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS TRISAKTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jmat.v10i1.10390

Abstract

This study aims to examine The Influence of Compensation Justice, Government Internal Control Systems, and Organizational Ethics Factors, Against Corruption in The Government Sector with Law Enforcement as a Moderating Variable. The object of research is the work unit within the Human Resources Development Agency of Transportation by the number of respondents as many as 101 people were deliberately selected employees who handle financing activities, budgeting activities, assets management, and human resource departments. The type of data used is primary data and using multiple regression analysis was processed using SPSS 26.0. This study was designed using descriptive causal analysis and test the hypothesis by taking a test unit at the Human Resources Development Agency of Transportation. Data obtained through questionnaires, the sample is selected with the specific purpose (purposive sampling) and the data were analyzed using multiple linear regression. The results showed that the Organizational Ethics, and Government Internal Control System moderated by Law Enforcement give effect to Corruption, while the Compensation Justice, Government Internal Control System and Compensation Justice, Organizational Ethics moderated by Law Enforcement do not affect the Corruption. Based on the results, the training, education,  and develop the code of ethics can improve the quality of human resources of The Government Internal Supervisory Apparatus.  
Cloud Accounting, Artificial Intelligence, and Machine Learning in Digital Financial Applications: Implications for MSME Accounting Information in South Sumatra Lesi Hartati; Haryono Umar; Lilis Puspitawati; Raja Haydar Alibi
Ilomata International Journal of Tax and Accounting Vol. 7 No. 3 (2026): July 2026
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijtc.v7i3.2416

Abstract

Many MSMEs still do not understand the use of digital financial applications as a widespread issue and require optimal implementation of features available in artificial intelligence and machine learning to become drivers of accounting practices. Referring to the Technology Acceptance Model (TAM) theory, how someone accepts and uses information technology is influenced by two main factors, namely Perceived Usefulness, namely the belief that the use of technology will improve performance, productivity, effectiveness, and work results, second, perceived ease of use, namely the belief that technology can be used easily without requiring great effort, this requires cloud-based accounting to strengthen digital payments. This study was designed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The empirical results of this study confirm that Cloud accounting has an impact of (β = 0.42) on digital financial applications, followed by Artificial Intelligence (β = 0.35) and Machine Learning (β = 0.28). Digital financial applications have a positive and significant impact on accounting information quality (β = 0.28). This suggests that digital financial applications can improve perceived usefulness and ease of use through automated transaction recording, real-time financial analysis, and fast and accurate financial reporting. These findings demonstrate that technology investment relies heavily on employee understanding and skills to improve organizational performance and enhance collaboration between users. This study has limitations due to its dynamic nature, which follows the development of digital financial applications, which are subject to change along with technological innovation, feature updates, and changes in user behavior, as well as the ability to predict future financial analysis.
Co-Authors Alexander Mychael Silaban Lesi Hartati Lilis Puspitawati Raja Haydar Alibi