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All Journal Account : Jurnal Akuntansi, Keuangan dan Perbankan
Sitanggang, Cindy Milasari
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Economics, Econometrics & Finance

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Pemanfaatan Big Data Analytics dalam Deteksi Fraud dan Prediksi Kinerja Keuangan: Kajian Literatur Sitanggang, Cindy Milasari; Simalango, Meylin; Purba, Restina; Darma, Jufri
Account: Jurnal Akuntansi, Keuangan dan Perbankan Vol. 12 No. 2 (2025): DECEMBER EDITION
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/account.v12i2.7854

Abstract

ABSTRAC The rapid advancement of digital technology has encouraged the adoption of Big Data Analytics (BDA) in various fields, including accounting and finance. This study aims to examine the utilization of BDA in fraud detection and financial performance prediction based on recent literature reviews. The research was conducted by analyzing academic articles and prior studies published since 2021. The findings indicate that BDA significantly contributes to detecting potential fraud by identifying complex data patterns that traditional methods often fail to capture. Moreover, BDA has proven effective in improving the accuracy of financial performance predictions by incorporating broader and real-time variables. This study concludes that BDA is a relevant and adaptive solution to address the challenges of fraud detection and financial forecasting in the big data era, while also providing opportunities for further research in accounting and information systems. Keywords : Big Data Analytics, fraud, financial performance
Co-Authors Jufri Darma Purba, Restina Simalango, Meylin