Samsuryadi, Samsuryadi and Dian Palupi, Rini (2022) Klasifikasi Transaksi Penipuan Pada Kartu Kredit Menggunakan Metode Resampling Dan Pembelajaran Mesin #2. Jurnal Media Informatika BUDIDARMA, 6 (2). pp. 1010-1016. ISSN 2614-5278 (media cetak), 2548-8368 (media online)
![[thumbnail of Artikel]](http://repository.unsri.ac.id/style/images/fileicons/text.png) |
Text (Artikel)
ARTIKEL - Klasifikasi Transaksi Penipuan.pdf - Published Version Download (474kB) |
Abstract
The high number of credit card fraud causes a lot of losses for both users and credit service providers. Because the rate of credit card transactions is very fast, it is necessary to detect credit card fraud as early as possible. However, another challenge that is no less important is the amount of data that is imbalanced between valid and invalid transactions. One solution to the problem of data imbalance is to use a resampling method that can improve the quantity of data so that the accuracy results are good. In this study, three types of resampling methods were implemented, SMOTE, bootstrap, and jackknife. Furthermore, to validate the success of the resampling method, three types of machine learning methods were used. The machine learning methods are SVM, ANN, and random forest. From the test results, it was found that the combination of resampling SMOTE and random forest methods produced the best performance with values of accuracy, precision, recall and F1-score of 99.95%, 81.63%, 90.91% and 86.02%, respectively.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q1-295 General |
| Divisions: | 09-Faculty of Computer Science > 55101-Informatics (S2) |
| Depositing User: | Dr. Samsuryadi Sahmin |
| Date Deposited: | 14 Apr 2023 02:42 |
| Last Modified: | 14 Apr 2023 02:42 |
| URI: | http://repository.unsri.ac.id/id/eprint/96428 |
Actions (login required)
 |
View Item |