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Competitive Jurnal Akuntansi dan Keuangan
Published by Universitas Muhammadiyah Tangerang
ISSN : 2615255X     EISSN : 2549791X     DOI : http://dx.doi.org/10.31000/
Core Subject : Economy,
Economics, Econometrics & Finance
Subjek area COMPETITIVE meliputi: Auditing, Perpajakan, Akuntansi Keuangan, Akuntansi Syariah, Akuntansi Keperilakuan, Akuntansi Lingkungan, Akuntansi Manajemen, Sistem Informasi Akuntansi, Good Corporate Governance, Corporate Social Responsibility, Corporate Sustainability, dan Manajemen Keuangan.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 283 Documents
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ARTIFICIAL INTELLIGENCE (AI), AUDIT, FORENSIC ACCOUNTING; LITERATURE REVIEW Ghozali, Dimas M.; Hayati, Nur
COMPETITIVE Vol 9, No 1 (2025): Competitive Jurnal Akuntansi dan Keuangan
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/competitive.v9i1.10039

Abstract

Artificial intelligence has become a very useful prima donna in all business activities, especially in the world of accounting and auditing. This can be achieved by automating work processes in real time that prioritize reliability and accuracy. This study aims to map research in the field of artificial intelligence related to auditing and forensic accounting. This research uses a descriptive-qualitative method with a literature review approach. Data sources were collected from articles and journals indexed by Scopus and Sinta, totaling 47 journals with multiple pages such as Emerald, Science Direct, and Google Scholar. The objective of this research mapping is to focus on the application, challenges, opportunities, and strengths of artificial intelligence in fraud prevention and detection. The mapping results show that artificial intelligence related to auditing and forensic accounting is very useful in preventing and detecting financial fraud, with indicators of accuracy, reliability of data, information, and audit evidence. On the other hand, the implementation of artificial intelligence poses serious challenges that will erode the workforce, both in terms of layoffs and income inequality and data security.
WHAT DRIVES CAPITAL STRUCTURE? EVIDENCE FROM PROPERTY AND REAL ESTATE COMPANIES Pramesti, Shasa; Tubastuvi, Naelati; Purwidianti, Wida; Haryanto, Totok
COMPETITIVE Vol 9, No 1 (2025): Competitive Jurnal Akuntansi dan Keuangan
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/competitive.v9i1.14593

Abstract

Capital structure is the ratio or composition of debt and equity used to finance a company's operational activities. Capital structure reflects long-term decisions related to funding sources and is an important factor in determining a company's risk and return. This study examines the influence of profitability, liquidity, company size, and asset structure on capital structure in the property and real estate sector listed in Indonesia. The population in this study consists of 94 companies in the property and real estate sector listed on the Indonesia Stock Exchange from 2021 to 2023. Data collection was conducted using the secondary method, employing purposive sampling and unbalanced data, resulting in a sample of 58 companies with 139 observations. The data were analyzed quantitatively using descriptive statistics. The results of this study indicate that profitability and asset structure do not influence capital structure. Liquidity has a negative impact on capital structure. Company size has a positive impact on capital structure. Based on the research findings, property and real estate companies should not rely on profitability and asset structure to determine their capital structure. Companies should focus on liquidity and company size, as higher liquidity reduces dependence on debt financing.
DETERMINANT AUDIT FACTOR AND ACCEPTANCE OF GOING CONCERN OPINIONS Wiranti, Adelia Putri; Amalia, Firda Ayu
COMPETITIVE Vol 9, No 1 (2025): Competitive Jurnal Akuntansi dan Keuangan
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/competitive.v9i2.12917

Abstract

This study aims to empirically test the effect of financial distress, auditor switching, and previous year's audit opinion on the receiving of going concern opinion. This study uses a purposive sampling technique with a sample size of 138 companies. Secondary data in the form of financial reports of property and real estate companies listed on the indonesia stock exchange in 2021-2022 are used as data sources. The data analysis technique is logistic regression. the results of this study indicate that the first hypothesis was rejected, with the variable financial distress having no effect on the variable of accepting the going concern audit opinion. the second hypothesis was rejected, with the auditor switching variable having no effect on the variable of accepting audit opinion going concern. the third hypothesis was accepted, with the previous year's audit opinion variable influencing the variable of receiving audit opinion going concern. 

Page 29 of 29 | Total Record : 283

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