Development Of Machine Learning Algorithms For Fraud Detection In Digital Transactions

Heskyel Pranata Tarigan

doi:10.37676/jki.v3i1.571

Authors

Heskyel Pranata Tarigan Universitas Dehasen Bengkulu

DOI:

https://doi.org/10.37676/jki.v3i1.571

Keywords:

Machine Learning Algorithms, Fraud Detection, Digital Transactions

Abstract

This article discusses the development of machine learning algorithms to detect fraud in digital transactions. With the increasing use of online transactions, fraud detection becomes crucial to maintain security. The proposed algorithm uses deep learning techniques to identify anomalous patterns in transaction data. The results show that the algorithm is able to improve the accuracy of fraud detection compared to conventional methods.

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