TRANSPARANSI SEBAGAI FONDASI: TINJAUAN SISTEMATIS TENTANG PERAN GOOD CORPORATE GOVERNANCE DALAM MENCEGAH MANIPULASI LAPORAN KEUANGAN

Authors

  • Sarifudin Universitas Teknologi Sumbawa
  • Ikhlasul Iman UniversitasTeknologi Sumbawa
  • Raul Kurniawan UniversitasTeknologi Sumbawa
  • Suhra Wardin UniversitasTeknologi Sumbawa
  • M. Sifri Hamsah UniversitasTeknologi Sumbawa

Abstract

Penelitian ini bertujuan untuk meninjau secara sistematis peran Good Corporate Governance (GCG) dan transparansi dalam mencegah manipulasi laporan keuangan. Dengan menggunakan pendekatan Systematic Literature Review (SLR) yang dipandu kerangka PRISMA, 25 artikel terbaru yang diterbitkan antara tahun 2020 hingga 2025 dari basis data Scopus, ScienceDirect, SSRN, Google Scholar dan ResearchGate dianalisis. Fokus kajian mencakup mekanisme governance, efektivitas audit committee, independensi dewan komisaris, kepemilikan institusional, sistem pelaporan internal, serta integrasi teknologi digital seperti blockchain dan artificial intelligence dalam meningkatkan transparansi pelaporan. Hasil tinjauan menunjukkan bahwa mekanisme GCG yang efektif secara signifikan menekan praktik earnings management dan fraudulent reporting. Independensi dewan dan audit committee terbukti sebagai fondasi pengawasan utama, sementara sistem whistleblowing dan teknologi digital mendukung deteksi dini dan meningkatkan integritas laporan keuangan. Studi ini menekankan bahwa kombinasi antara governance tradisional, transparansi, dan teknologi merupakan strategi utama untuk mencegah manipulasi laporan keuangan, dengan efektivitas yang bergantung pada konteks industri, ukuran perusahaan, dan regulasi lokal. Temuan ini memberikan kontribusi penting bagi pengembangan kebijakan governance, peningkatan kualitas pelaporan, serta penguatan kepercayaan stakeholder.

References

Adoboe-mensah, N., Salia, H., & Addo, E. B. (2023). Using the Beneish M-score Model to Detect Financial Statement Fraud in the Microfinance Industry in Ghana. 13(4), 47–57. https://doi.org/https://doi.org/10.32479/ijefi.14489.

Aftabi, S. Z. (2023). Fraud detection in financial statements using data mining and GAN models. Expert Systems with Applications, 227(120144). https://doi.org/https://doi.org/10.1016/j.eswa.2023.120144

Agustina, R. S., Marlina, L., Andani, L., & Tama, T. A. (2025). Good Corporate Governance in Indonesia Islamic Bank : A Nvivo- Based Qualitative Analysis. 8(2), 279–296. https://doi.org/https://doi.org/10.17509/rief.v8i2.87484.

Ali, A., Razak, S. A., Othman, S. H., Abdalla, T., Eisa, E., Al-dhaqm, A., Nasser, M., Elhassan, T., Elshafie, H., & Saif, A. (2022). Financial Fraud Detection Based on Machine Learning : A Systematic Literature Review. 12(19), 9637.

https://doi.org/https://doi.org/10.3390/app12199637.

Almarayeh, T. (2024). Audit committees ’ independence and earnings management in developing countries : evidence from MENA countries. https://doi.org/10.1108/JFRA-11-2023-0652.

Apristiana, A. A., & Utomo, D. C. (2025). Corporate Governance and Fraud : A Systematic Review. 9(April), 703–725. https://doi.org/10.33395/owner.v9i2.2643

Aqilah, N., Farizal, N., & Kamaluddin, A. (2021). Application of Beneish M-Score Model in Detecting Probable Earnings Manipulation in Malaysian Public Listed Companies. 5, 86–100. https://doi.org/http://dx.doi.org/10.33019/ijbe.v5i1.301.

Archanti, A. R., & Rohman, A. (2024). Addressing The Factors Causing Financial Statement Fraud : A Systematic Literature Review And Bibliometric Analysis. 4(06), 5487–5499. https://doi.org/https://doi.org/10.59188/eduvest.v4i6.1501.

Archna, & Nidhi, B. (2024). Artificial Intelligence Challenges and Its Impact on Detection and Prevention of Financial Statement Fraud: A Theoretical Study. https://doi.org/10.4018/979-8-3693-0724-3.ch004.

Auliana, R. A., Subroto, B., & Subekti, I. (2023). The effect of corporate governance on earnings management moderated by political connection. 24(3). https://doi.org/10.18196/jai.v24i3.17390.

Bui, T. H. (2024). Past , present , and future of earnings management research. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2023.2300517.

Cai, S. (2024). Explainable fraud detection of financial statement data driven by two-layer knowledge graph. Expert Systems with Applications. 246.

https://doi.org/https://doi.org/10.1016/j.eswa.2023.123126.

Darmawan Wahyu Fikri, U. U. (2025). The Effect of Good Corporate Governance , Earning Management on Firm Value. 9(1). https://doi.org/https://doi.org/10.21070/jas.v9i1.1922.

Diana Witosari, B. (2025). Corporate Governance and Financial Fraud in ASEAN: A Bibliometric Roadmap for Future Research 81–22. https://doi.org/10.31014/aior.1992.08.04.689.

Dokas, I. (2023). Earnings Management and Status of Corporate Governance under Different Levels of Corruption — An Empirical Analysis in European Countries. J. Risk Financial Manag., 16(10), 458. https://doi.org/10.3390/jrfm16100458.

Dwi, P., & Nur, A. (2025). Efektivitas Pengungkapan Anti-Korupsi dalam Meminimalkan Manajemen Laba. BehavioralAccountingJournal, 8(2),105–120. https://doi.org/10.33005/baj.v8i2.400

Emir, N., & Sarwono, A. E. (2025). Pengaruh Kualitas Laporan Keuangan , Transparansi Informasi , dan Pemahaman Publik terhadap Risiko Fraud Pertamina. 5(2), 270–278. https://doi.org/https://doi.org/10.55606/jurimea.v5i2.962.

Firdaus,Muhammad Helmi, Y. (2025). Blockchain and New Technologies for Enhanced Transparency in ESG Sustainability Reporting and Accounting. 18(2), 181–208. https://doi.org/https://doi.org/10.29259/ja.v18i2.23072.

Han, H., Shiwakoti, R. K., Jarvis, R., Mordi, C., & Botchie, D. (2023). Accounting and auditing with blockchain technology and artificial Intelligence : A literature review. International Journal of Accounting Information Systems, 48(November 2022), 100598.

https://doi.org/10.1016/j.accinf.2022.100598.

Hassaan, M., & Salah, W. (2025). Corporate governance , fi nancial transparency and currency devaluation shocks : evidence from Egypt. 23(6), 1251–1268. https://doi.org/10.1108/CG- 09-2022-0386.

Ibitomi, T., Akinleye, B. O., & Adinnu, P. O. (2024). Corporate Governance and Earnings Management Among Listed Companies in Nigeria. 12(11), 1–25. https://doi.org/https://doi.org/10.37745/ejaafr.2013/vol12n11125.

Jensen, M. C., & Meckling, W. H. (1976). Theory of the Firm: Managerial Behavior, Agency Costs and Ownership Structure. Journal of Financial Economics. https://doi.org/10.1016/0304-405X(76)90026-X.

Kunariyah, A., & Dewayanto, T. (2025). The Role Of Blockchain And Corporate Governance In Financial Reporting Quality- A Systematic Literature Review. 8(1), 99–114. https://doi.org/10.22219/jaa.v8i1.38471.

Made Yessi Puspitha, N. nyoman A. D. (2023). The ability of Beneish M-Score to predict fraudulent financial reporting. 33(02), 20.

https://doi.org/10.24843/EJA.2023.v33.i02.p20.

Mala Dani, N. A. T. (2025). Audit Committee Effectiveness And Earnings Management: Evidence From India. 28.

https://doi.org/https://www.researchgate.net/publication/389036275.

Maulida, Rahmazaniati, L., Vonna, S. M., & Mahdani, S. (2024). Jurnal Aplikasi Akuntansi PENDETEKSIAN FINANCIAL STATEMENT FRAUD. 9(1), 60–76.

https://doi.org/10.29303/jaa.v9i1.432.

Mismiwati, Dara, R., & Kiri, M. (2025). Corporate Governance and Earnings Management : Empirical Study of Public Companies in Indonesia. 3(1), 25–37. https://doi.org/https://doi.org/10.70177/jmf.v3i1.2063.

Nabila, T., Sihombing, D. O., Luthfi, M. K., & Maisyarah, R. (2025). Literature Review : Implementation of Good Corporate Governance Principles in Improving Company Performance. Akuntansi, Manajemen, Dan Perencanaan Kebijakan, 2(3), 1–9.

Nguyen, Q., Kim, M. H., & Ali, S. (2024). Corporate governance and earnings management : Evidence from Vietnamese listed firms. International Review of Economics and Finance, 89(PA), 775–801. https://doi.org/10.1016/j.iref.2023.07.084.

Nuralamsah, M., & Sarwono, A. E. (2025). Studi Literatur : Pengaruh Manajemen Laba dan Good Corporate Governance ( GCG ) terhadap Pelaporan Kecurangan Keuangan ( Fraud ). 5(October), 123–130. https://doi.org/10.51903/jupea.v5i1.4519.

Putu, N., Rosalina, D., Narsa, H., & Wardhaningrum, O. A. (2021). Fraud Triangle and Earning Management Based On M-Score Modification : A Study On Manufacturing Company In Indonesia. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3994666.

Razafiarivony, M., & Hosna-janeta, M. (2022). Effects of Financial Statements Quality and Users ’ Knowledge on Decision Considerations and the Role of Satisfaction as a Potential Mediator . 5(1), 35–47. https://doi.org/10.37284/eajbe.5.1.545.IEEE.

Sahputra, R. D., Tarihoran, N. H., Ananda, R., & Husni, Z. (2025). The Impact Of Ifrs Adoption On Corporate Transparency And Investor Confidence. 6(1). https://doi.org/10.3059/insis.v0i0.23108.

Shafira Nurrahmawati, S. P. S. (2024). Meningkatkan Transparansi: Mengurai Faktor-Faktor Risiko Jangka Pendek Dalam Voluntary Disclosure. 08(02), 1–12. https://doi.org/https://doi.org/10.29040/jie.v8i2.12480.

Shahana, T.; Lavanya, V.; & Bhat, A. R. (2023). State of the art in financial statement fraud detection: A systematic review. Technological Forecasting and Social Change, 192. https://doi.org/https://doi.org/10.1016/j.techfore.2023.122527.

Soltani, M.; Kythreotis, A.; & Roshanpoor, A. (2023). Two decades of financial statement fraud detection literature review; combination of bibliometric analysis and topic modeling approach. Journal of Financial Crime. https://doi.org/https://doi.org/10.1108/JFC-09- 2022-0227.

Sonika Gupta, S. K. M. (2020). Feature Selection for Dimension Reduction of Financial Data

for Detection of Financial Statement Frauds in Context to Indian Companies.

https://doi.org/https://doi.org/10.1177/0972150920928663.

Thao Nghi Truong, V. C. N. (2024). The impact of the board of directors and the audit committee on the transparency of financial information of companies listed in a frontier market. 10(22). https://doi.org/10.1016/j.heliyon.2024.e40188.

Vahab Rostami, L. R. (2021). Corporate governance and fraudulent financial reporting. https://doi.org/10.1108/JFC-07-2021-0160.

Valaskova, K., & Fedorko, R. (2021). Beneish M-score : A measure of fraudulent financial transactions inglobal environment ? 2064. https://doi.org/https://doi.org/10.1051/shsconf/20219202064.

Zakaria. (2025). Advances in Management & Financial Reporting Analysis of Financial Reporting Errors and Their Impact on Stakeholder Trust. 3(1), 1–14. https://doi.org/https://doi.org/10.60079/amfr.v3i1.398.

Downloads

Published

2026-01-31

Issue

Section

Articles