Halimatussya'diah, . (2024) SYSTEMATIC LITERATURE REVIEW: INTEGRASI TEKNOLOGI BIG DATA PADA AUDIT FORENSIK UNTUK MENDETEKSI KECURANGAN DI SEKTOR PERBANKAN. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The development of digital transactions makes new changes and innovations in the banking sector, creating potential Security gaps that can be utilized by cyber criminals to commit fraud. The use of Big data technology is the basis for helping forensic auditors detect and prevent fraud that has the potential to threaten the integrity of the banking sector in the digital era. In this study, the method used is a systematic literature review (SLR) of 40 research articles published between 2015 and 2024 and which have been carried out in the field of fraud detection using Big data technology in the banking sector, articles are selected, synthesized, and analyzed. This research created a matrix to review the use of Big data in assisting forensic auditing for fraud detection. The articles reviewed showed that the use of Machine Learning and transaction data is most often used to detect fraud in the banking sector. The most common type of fraud detected using Big data technology is credit card fraud. This research presents the main issues, recent findings and gaps in the area of fraud detection using Big data technology in the banking sector and suggests possible areas for future research.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No. Panggil: 2010112042 [Pembimbing: Dewi Darmastuti [Penguji 1: Donny Maha Putra [Penguji 2: Andy Setiawan |
| Uncontrolled Keywords: | Big data, Fraud detection, Audit forensic, Banking |
| Subjects: | H Social Sciences > HF Commerce > HF5601 Accounting T Technology > T Technology (General) |
| Divisions: | Fakultas Ekonomi dan Bisnis > Program Studi Akuntansi (S1) |
| Depositing User: | HALIMATUSSYA DIAH |
| Date Deposited: | 20 Sep 2024 07:09 |
| Last Modified: | 20 Sep 2024 07:09 |
| URI: | http://repository.upnvj.ac.id/id/eprint/30917 |
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