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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmiah Ekonomi Islam Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Journal of Economicate Studies Jurnal Mantik Akurasi : Jurnal Studi Akuntansi dan Keuangan Jurnal Maps (Manajemen Perbankan Syariah) Jurnal Accounting Information System (AIMS) International Journal of Business, Economics, and Social Development Jurnal Dimamu Jurnal AbdiMU Jurnal Accounting Information System (AIMS)
Suyatna, Nano
Fakultas Komputer, Universitas Ma’some
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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AI-DRIVEN SHARIAH COMPLIANCE DETECTION AND REAL-TIME MONITORING IN ISLAMIC FINANCE ACCOUNTING INFORMATION SYSTEMS Suyatna, Nano; Nur'aeni, Nur'aeni; Firmansyah, Irman
Akurasi : Jurnal Studi Akuntansi dan Keuangan Vol 8 No 2 (2025): Akurasi: Jurnal Studi Akuntansi dan Keuangan, Desember 2025
Publisher : Faculty of Economics and Business University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/akurasi.v8i2.807

Abstract

The research is motivated to develop an Artificial Intelligent-Based Accounting System (AI- AIS) using machine learning and natural language processing methods; isolation forest algorithm for anomaly detection, BERT classification framework to automize Shariah compliant monitoring in the financial statements. This study performs systematic review of literature as well development of functional prototyping. Key findings:(1)Detection of non-compliant transactions — riba, gharar detected in real-time 92% accurate over manual audits; (2)Shariah compliance screening for financial documents automated end to end; and, (3)Pre-validation on accounting entries prior to posting. This helps to shorten verification time from days to seconds and confirms compliance with AAOIFI regulations. The AIS uses cutting-edge AI technology that deals with some of the core issues in Islamic accounting, including but not limited to data integrity, reconciliation efficiency and transparency. It involves a system of accounting that uses the guiding principles laid out in Maqasid al-Shariah, eradicating financial risks based on balance. Further empirical and clinical attention to the integration of legacy systems, that their exegeses adjust themselves with contemporary Islamic jurisprudence on financial instruments; enabling a security design dabble compatible with off-the-shelf boards while developing an automated python script or the likes for identifying Shariah prohibitions may allow prevention.
Co-Authors Ahmad Naim Che Pee Ali Aminulloh Alipia Nurjanah An-Nisa Aina Nurwaida Bambang Siswoyo Firdaus, Muhammad Adam Irman Firmansyah Komalasari, Rita Lenny Yanthiani Mu’minin, Ayi Mi’razul Murti, Arti Arsiati Nur'aeni, Nur'aeni Nurrohman Nurrohman Rivaldy, Javier Siti Zayyini Hurun In Sri Yulianti Udin Komarudin Vega Ferdiawan Widya Sari Zuraida Abal Abas