Identifying Credit Card Fraud in Illegal Transactions Using …
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- DOI 10.32736/sisfokom.v12i3.1730
- OpenAlex ID W4388550696
- Type Article
- Language EN
- Published 08 Nov 2023
- Volume 12 (3)
- Pages 477–484
- Source Jurnal Sisfokom (Sistem Informasi dan Ko…
- Publisher Institut Sains dan Bisnis Atma Luhu…
- FWCI 0.27
- Countries 1
- Institutions 1
- Added 10 Oct 2025
- Updated 08 Oct 2026
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Identifying Credit Card Fraud in Illegal Transactions Using Random Forest and Decision Tree Algorithms
Article 2023 EN Gold
The use of credit cards is increasing in today's digital era. This increase has resulted in many cases of fraud which have had a negative impact on credit card owners. To overcome this, many financial institutions have developed credit card fraud detection systems that can identify suspicious transactions. This study uses a classification method, namely random forest and decision tree to identify…
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8 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Indah Werdiningsih | Universitas Airlangga (ID) | |
| 2 | Endah Purwanti | Universitas Airlangga (ID) | |
| 3 | Gede Rangga Wira Aditya | Universitas Airlangga (ID) | — |
| 4 | Auliya Rakhman Hidayat | Universitas Airlangga (ID) | — |
| 5 | R. Sulthan Rafi Athallah | Universitas Airlangga (ID) | — |
| 6 | Virda Adisty Sahar | Universitas Airlangga (ID) | — |
| 7 | Tio Satrio Wibisono | Universitas Airlangga (ID) | — |
| 8 | Darren Febriand Nura Somba | Universitas Airlangga (ID) | — |
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