Nurul Syahbela
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

TRANSFORMASI DIGITAL DAN ADOPSI ARTIFICIAL INTELLIGENCE DALAM PRAKTIK AUDIT LAPORAN KEUANGAN: SEBUAH SYSTEMATIC LITERATURE REVIEW Muhammad Prans Panca Renta; Nurul Syahbela; Amirul Bahar
Jurnal Studia Akuntansi dan Bisnis (The Indonesian Journal of Management & Accounting) Vol 13 No 2 (2025)
Publisher : Universitas La Tansa Mashiro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55171/jsab.v13i2.1500

Abstract

Indonesian-language abstracts were written using Times New Roman-10. Spacing between lines 1 space. Abstracts contain 150-250 words and consist of a maximum of 1 paragraph, which contains background and purpose (is the core of the preliminary explanation), research methods, and research results. The development of digital transformation and the application of Artificial Intelligence (AI) have shifted the paradigm of financial statement audits toward a more intelligent and data-driven system. However, the level of readiness of the auditor profession and the effectiveness of its implementation still vary across contexts. This study seeks to delineate research trends concerning AI in digital audits from 2020 to 2025, evaluate the methodologies and principal findings of current studies, and formulate a conceptual framework for future research trajectories. The method used is a Systematic Literature Review (SLR) based on 13 relevant international journal articles, accompanied by bibliometric analysis using VOSviewer software to map themes and relationships between research topics. The results show that research on AI-based audits has evolved from a conceptual approach to empirical analysis that assesses the impact of technology on audit quality, efficiency, and organizational governance. Three key dimensions that determine the success of digital audits are technology, human competency, and organizational governance, which are then integrated in the Digital–AI–Audit Integration Framework (DAA-IF) conceptual model. This study provides a theoretical contribution by outlining the research development map and offering new research directions to strengthen audit governance in the era of artificial intelligence.
Analisis Komparatif Kinerja Keuangan Perusahaan Sektor Energi Sebelum dan Sesudah Implementasi Kebijakan Energi Hijau Tabah Rizki; Nurul Syahbela
Jurnal Penelitian Ekonomi Akuntansi Vol 9 No 2 (2025)
Publisher : Program Studi Akuntansi Fakultas Ekonomi Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/jensi.v9i2.13302

Abstract

This study aims to comparatively analyze the financial performance of energy sector companies before and after the implementation of the green energy policy in Indonesia in 2022, as part of the national commitment to transition toward clean energy. The research employs a comparative quantitative approach using financial ratio analysis, including Return on Assets (ROA), Return on Equity (ROE), Debt to Equity Ratio (DER), and Current Ratio (CR), for energy companies listed on the Indonesia Stock Exchange (IDX) during the 2018–2024 period. The results of the comparative statistical tests using the Paired Sample t-Test and descriptive analysis indicate significant changes in most financial performance indicators following the adoption of the green energy policy. ROA and ROE increased significantly, reflecting improved efficiency and profitability, while DER decreased significantly, indicating a shift toward a healthier and more sustainable capital structure. Meanwhile, CR increased but was not statistically significant. These findings align with legitimacy theory, which explains that companies seek to obtain and maintain social legitimacy by aligning their policies and strategies with external environmental expectations. The implications suggest that the green energy policy plays a crucial role in strengthening corporate legitimacy in the eyes of the public and stakeholders, enhancing investor confidence, and supporting long-term financial sustainability. The limitations of this study lie in the relatively short observation period (2022–2024), which may not fully capture the long-term effects of the green energy policy on financial performance, and in the exclusive focus on financial indicators without considering non-financial factors such as governance quality, green investment intensity, and clean technology adoption. Future research is recommended to extend the observation period to five or ten years to capture long-term impacts, integrate quantitative and qualitative approaches through sustainability report analysis, ESG policy evaluation, and investor perception studies, and conduct cross-subsector comparisons to provide deeper insights into adaptation dynamics and competitiveness within the energy industry under the green energy transition toward a sustainable economy.