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Sinomika Journal: Publikasi Ilmiah Bidang Ekonomi dan Akuntansi
Published by CV. LAFADZ JAYA
ISSN : -     EISSN : 28299701     DOI : https://doi.org/10.54443/sinomika
Core Subject : Economy,
Economics, Econometrics & Finance
SINOMIKA JOURNAL merupakan jurnal ilmiah bidang Ekonomi yang terbit setiap 2 bulan (Januari, Maret, Mei, Juli, September, November. SINOMIKA JOURNAL menerima naskah hasil penelitian dan hasil kajian yang memunculkan gagasan-gagasan ilmiah dan aktual bidang Ekonomi Pembangunan, Ekonomi Islam, Manajemen, Akuntansi, Perpajakan, dan Perbankan.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2025)" : 5 Documents clear
Integration of Blockchain Technology, Artificial Intelligence, and Machine Learning in Financial Accounting: Transformation Towards Efficiency and Transparency Basu, Pooja; Jayadi, Usman
SINOMIKA Journal: Publikasi Ilmiah Bidang Ekonomi dan Akuntansi Vol. 4 No. 1 (2025)
Publisher : CV. Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sinomika.v4i1.3472

Abstract

The development of information technology has brought significant changes to the accounting world, particularly with the integration of blockchain technology, artificial intelligence (AI), and machine learning (ML). This article discusses the application of these three technologies in financial accounting, which has the potential to improve efficiency, transparency, and accuracy. Blockchain offers security and transparency in transaction recording, while AI plays a role in automating processes and detecting anomalies in financial data. Machine learning enables more accurate predictive analysis in financial planning and risk detection. Although challenges in implementation, such as regulatory issues and data quality, still exist, the potential benefits are enormous. The integration of these technologies can reduce human error, speed up the auditing process, and provide better financial management. This article also highlights the challenges faced in their application, including the need for adequate infrastructure and training. Overall, the use of blockchain, AI, and ML in accounting paves the way for a more efficient and transparent digital transformation in the accounting industry.
Climate Change Impact Assessment Model on Corporate Financial Performance: A Data-Based and Analytical Approach Akkapin, Supaphorn; Achmad Doradjat, Tubagus
SINOMIKA Journal: Publikasi Ilmiah Bidang Ekonomi dan Akuntansi Vol. 4 No. 1 (2025)
Publisher : CV. Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sinomika.v4i1.3473

Abstract

Climate change has a significant impact on corporate financial performance worldwide. This study develops a model for assessing the financial impacts of climate change on corporate performance using a data-driven and analytical approach. The model integrates both physical and transitional risks caused by climate change and analyzes their effects on corporate financial metrics, such as profitability, operational costs, and market value. Through regression analysis, climate change scenarios, and Monte Carlo simulations, this research demonstrates that companies failing to anticipate climate change face substantial financial risks, while companies that adapt, such as those investing in low-carbon technologies, can reap long-term benefits. This study provides valuable insights for companies to manage climate risks and capitalize on opportunities arising from the transition to a low-carbon economy. Thus, it offers an approach that can help businesses plan and take strategic actions to mitigate the financial impacts of climate change.
Impact of Quantum Computing on Accounting Information Systems: Challenges and Opportunities Kasheem, Majdy; Shalghoum, Najimudin; Abdullah, Mahmoud
SINOMIKA Journal: Publikasi Ilmiah Bidang Ekonomi dan Akuntansi Vol. 4 No. 1 (2025)
Publisher : CV. Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sinomika.v4i1.3474

Abstract

Quantum computing (QC) is an emerging technology that has the potential to revolutionize various industries, including accounting. This paper explores the impact of quantum computing on Accounting Information Systems (AIS), focusing on the challenges and opportunities it presents. With the exponential growth of data and increasing complexity in financial transactions, traditional AIS face limitations in processing power, speed, and data security. Quantum computing, with its ability to process vast amounts of data simultaneously and perform complex calculations, offers a solution to these challenges. By leveraging quantum algorithms, AIS could enhance data processing efficiency, improve financial modeling, and strengthen data security, particularly through quantum-safe encryption. However, the integration of QC into AIS also raises significant challenges, including the technical limitations of current quantum hardware, the potential disruption of existing cryptographic methods, and the lack of expertise in quantum technologies within the accounting profession. This paper examines these issues and discusses how accounting professionals and organizations can prepare for the future integration of QC into AIS. As quantum computing continues to evolve, its application to AIS holds promise for transforming the accounting industry by improving the accuracy, speed, and security of financial systems.
Application of Agent-Based Model in Financial Risk Assessment: A New Perspective in Risk Management Rudi Alhempi, Raden; Rattanapun, Supot
SINOMIKA Journal: Publikasi Ilmiah Bidang Ekonomi dan Akuntansi Vol. 4 No. 1 (2025)
Publisher : CV. Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sinomika.v4i1.3475

Abstract

Financial risk management plays a crucial role in ensuring the stability and resilience of financial markets. Traditional models, such as Value at Risk (VaR) and Monte Carlo simulations, have been widely used to assess risks; however, they often fail to account for complex, dynamic interactions between market participants. This paper explores the application of Agent-Based Models (ABMs) as an innovative approach to financial risk assessment. ABMs simulate the interactions between heterogeneous agents, such as investors, banks, and regulators, providing a more realistic representation of financial systems. The study highlights the strengths of ABMs in capturing systemic risks, non-linear dynamics, and emergent phenomena like market crashes, herd behavior, and contagion. The results demonstrate that ABMs can enhance the understanding of financial risk by modeling individual behaviors and their impact on market stability. Through simulation experiments, the paper shows how ABMs can complement traditional risk management tools by providing deeper insights into the systemic nature of financial crises. The findings suggest that ABMs offer valuable advantages over conventional models, particularly in assessing market volatility and the resilience of financial institutions. This research contributes to the growing body of literature advocating for the integration of ABMs into financial risk management frameworks.
The Role of Green Accounting in Enhancing Business Sustainability: A Case Study of Renewable Energy Companies Lukas, Amos; Cliford Fru-Ngongban, Akenji; Ali Raza, Hafiz
SINOMIKA Journal: Publikasi Ilmiah Bidang Ekonomi dan Akuntansi Vol. 4 No. 1 (2025)
Publisher : CV. Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sinomika.v4i1.3476

Abstract

This study explores the role of green accounting in enhancing business sustainability, specifically within renewable energy companies. As environmental concerns increase globally, businesses are under growing pressure to adopt sustainable practices, with green accounting serving as a critical tool in this transformation. Green accounting involves integrating environmental costs into traditional financial reporting systems, allowing companies to better track their environmental impact, improve resource efficiency, and contribute to long-term sustainability. This research investigates how renewable energy companies implement green accounting practices and assesses the impact of these practices on their sustainability performance. Using a qualitative approach, the study examines multiple case studies from companies in the renewable energy sector, highlighting both the benefits and challenges of adopting green accounting. The findings suggest that companies with comprehensive green accounting systems not only achieve better environmental outcomes but also improve their relationships with stakeholders, attract investment, and gain a competitive advantage. However, the study also identifies significant barriers, including the lack of standardized reporting frameworks and internal resistance to change. The research concludes that the widespread adoption of green accounting is essential for advancing sustainability in the renewable energy sector and offers practical recommendations for overcoming implementation challenges.

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