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Journal : Owner : Riset dan Jurnal Akuntansi

Pengaruh Tax Planning, Tax Avoidance dan Leverage Terhadap Firm Value Wahyuda, Daniel Artha; Falatifah, Mira; Karlinah, Lady
Owner : Riset dan Jurnal Akuntansi Vol. 9 No. 2 (2025): Artikel Riset April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/owner.v9i2.2558

Abstract

This study analyzes the effects of tax planning, tax avoidance, and leverage on firm value in Consumer Cyclicals and Non-Cyclicals companies listed on the Indonesia Stock Exchange during the period 2020–2022. The research design used in this study is a quantitative method. Data were sourced from financial statements through www.idx.co.id. The techniques of data analysis are descriptive statistics, classical assumption tests, and multiple linear regression using the Random Effect Model (REM). Hypothesis testing was conducted by using a t-test for partial effects and F-tests for simultaneous effects. The results show that, on a partial basis, tax planning and tax avoidance do not have any significant impact on firm value, while on the other hand, leverage has a positive and significant effect on firm value. Aggregately, the three independent variables comprising tax planning, tax avoidance, and leverage substantially affect firm value. The findings of this research suggest that leverage is a critical factor in enhancing a firm's value, while tax strategies, although effective in reducing tax obligations, may not be considered as a key determinant in the valuation of investors. In this regard, the findings suggest that management should exercise caution when engaging in aggressive tax strategies, because most investors are more concerned about long-term stability and good corporate governance. Keywords: Tax Avoidance; Tax Planning; Leverage; Firm Value
Systematic Literature Review : Dampak Tax Incentives terhadap Inovasi dan Pertumbuhan Ekonomi Karlinah, Lady; Sugondo, Liem Yan; Falatifah, Mira; Wahyuda, Daniel Artha
Owner : Riset dan Jurnal Akuntansi Vol. 9 No. 2 (2025): Artikel Riset April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/owner.v9i2.2678

Abstract

This study systematically reviews the impact of tax incentives on innovation and economic growth. Tax incentives, as a fiscal policy tool, have the potential to stimulate investment in research and development (R&D), fostering innovation in key sectors such as technology and manufacturing. The findings suggest that tax incentives can accelerate innovation and long-term economic growth, particularly in countries with economic stability and a private sector ready to innovate. However, the effectiveness of this policy depends on factors such as policy design, macroeconomic conditions, and supporting regulatory and socio-political factors. This study concludes that to maximize the impact of tax incentives, policies should be tailored to specific sectoral needs and supported by other holistic policies.
Persepsi Auditor Indonesia: Artificial Intelligence dan Dampaknya yang Mengubah Kualitas Audit Sari, Hotma Glorya Ika; Wahyuda, Daniel Artha
Owner : Riset dan Jurnal Akuntansi Vol. 9 No. 2 (2025): Artikel Riset April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/owner.v9i2.2689

Abstract

This study aims to examine Indonesian auditors' perceptions regarding the use of artificial intelligence (AI) in the audit process and its impact on audit quality. The study population comprises auditors employed at Public Accounting Firms in the JABODETABEK area. A purposive sampling technique was employed, resulting in a total sample of 208 auditors. This research utilizes a survey method through a questionnaire that includes items measuring the perceived ease of use and perceived usefulness of three types of AI systems: Assisted, Augmented, and Autonomous. The findings reveal that Assisted AI Systems are perceived as the easiest to use and the most beneficial, followed by Augmented AI Systems, which are considered more complex. In contrast, Autonomous AI Systems are regarded as the most challenging to use and the least advantageous. These results indicate significant differences in auditors' perceptions of the three AI system types, underscoring the importance of selecting appropriate technologies to enhance audit efficiency and quality. This study provides valuable insights for audit organizations in optimizing AI implementation while enhancing auditors' competencies to navigate challenges in the digital era.