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All Journal Nomico Scientica Education Journal (SEJ) Journal of Dialogos Dhana Aksioma Education Journal Al Ilmu TechTalent & Business Review
Siyamsih, Dwi
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Religion Biochemistry, Genetics & Molecular Biology Chemistry Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Dhana

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ANALISIS PENGARUH CORPORATE GOVERNANCE, PROFITABILITAS, DAN CAPITAL INTENSITY TERHADAP PENGHINDARAN PAJAK (TAX AVOIDANCE)(Studi Empiris Pada Perusahaan Sektor Pertambangan Yang Terdaftar Di Bursa Efek Indonesia Periode 2012-2016) Siyamsih, Dwi
Dhana Vol. 1 No. 2 (2024): DHANA-JUNE
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/evnf8542

Abstract

The aim of this research is to determine the influence of corporate governance, profitability and capital intensity both partially and simultaneously on tax avoidance. This type of research is quantitative research, and the research object is mining sector companies listed on the Indonesia Stock Exchange for the 2012-2016 period. The sample in this research consisted of 11 companies by testing the hypothesis through the classical assumption test, t test, and f test. The results of this research state that corporate governance, which is proxied by the audit committee and audit quality and capital intensity, partially has no effect on tax avoidance, while partial profitability has a significant effect on tax avoidance. Corporate governance as proxied by the audit committee and audit quality, profitability and capital intensity simultaneously have a significant effect on tax avoidance.
The Impact of Using Artificial Intelligence In The Process of Preparing Financial Statements Siyamsih, Dwi; Mayndarto, Eko Cahyo
Dhana Vol. 2 No. 2 (2025): DHANA - JUNE
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/hyrypj41

Abstract

This study explores the impact of Artificial Intelligence (AI) on the preparation of financial statements and its influence on the quality of financial reporting. The research applies a quantitative descriptive-explanatory method, using a purposive sampling technique involving 60 accounting and finance professionals from organizations that implement AI-based systems in their reporting processes. Data were collected through structured questionnaires and analyzed using multiple linear regression to examine the relationship between AI usage and the quality of financial statements, measured through indicators such as reliability, relevance, and comparability. The findings show that AI has a positive and statistically significant effect on financial reporting quality. This indicates that greater integration of AI tools in accounting processes can enhance the accuracy, consistency, and decision-usefulness of financial information. The results not only confirm the practical benefits of AI in streamlining financial tasks but also contribute to the theoretical understanding of how digital technologies are reshaping the foundations of accounting practices. By positioning AI as a transformative force in the evolution of financial reporting theory, this study provides a basis for future research to explore the broader implications of AI adoption, particularly in areas such as audit automation, ethical standards, and the development of digital accounting frameworks.
Co-Authors Afandi, Muhamat Arif Faradina, Anggia I Nengah Simpen Ihsan Suri Mayndarto, Eko Cahyo Noviya, Anis Tasya, Amalia Widodo, Hadi