The rapid development of information technology coupled with an increase in public activity in electronic financial transactions has provided convenience but has been accompanied by the occurrence of fraudulent financial transactions. The purpose of this research is how to find the best model to be implemented in the banking payment system in detecting fraudulent electronic financial transactions so as to prevent losses for customers and banks. Fraud detection uses machine learning with ensemble and deep learning with SMOTE. Financial transaction data is taken from bank payment simulations built with the concept of Multi Agent-Based Simulation (MABS) by banks in Spain. To build the best model, not only pay attention to the accuracy value, but the value of precision is a value that needs attention. A precision score is very important for fraud prevention. Fraud detection gets the best results without the SMOTE process by using deep learning with an accuracy score of 99.602% and precision score of 90.574%. By adding SMOTE, it will increase the accuracy score and precision score with the best model produced in the Extra Trees Classification with an accuracy score of 99.835% and precision score of 99.786%.
| Published by | Ikatan Ahli Informatika Indonesia |
| Journal Name | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Contact Phone | +628126777956 |
| Contact Name | Yuhefizar |
| Contact Email | jurnal.resti@gmail.com |
| Location | , INDONESIA |
| Website | RESTI| http://jurnal.iaii.or.id/index.php/RESTI| |
| ISSN | ISSN : 25800760, EISSN : 25800760, DOI : https://doi.org/10.29207/resti.v2i3.606, |
| Core Subject | Science, Engineering, |
| Meta Subject | Computer Science & IT, Engineering, |
| Meta Desc | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) menerima artikel ilmiah dengan lingkup penelitian pada: Rekayasa Perangkat Lunak Rekayasa Perangkat Keras Keamanan Informasi Rekayasa Sistem Sistem Pakar Sistem Penunjang Keputusan Data Mining Sistem Kecerdasan Buatan/Artificial Intelligent System Jaringan Komputer Teknik Komputer Pengolahan Citra Algoritma Genetik Sistem Informasi Business Intelligence and Knowledge Management Database System Big Data Internet of Things Enterprise Computing Machine Learning Topik kajian lainnya yang relevan |
| Penulis | Zamachsari, Faried , Puspitasari, Niken |
| Publisher Article | Ikatan Ahli Informatika Indonesia (IAII) |
| Subtitle Article | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 2 (2021): April 2021 |
| Scholar Google | http://scholar.google.com/scholar?q=%2Bintitle%3A&… |
| View Article | https://jurnal.iaii.or.id/inde… |
| DOI | https://doi.org/10.29207/resti.v5i2… |
| DOI Number | DOI: 10.29207/resti.v5i2.2952 |
| Download Article [1] | https://jurnal.iaii.or.id/index.php/REST… |
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