ANALISIS PEMBUATAN SISTEM ANTIFRAUD PADA STARTUP FINTECH, KHUSUSNYA PEER-TO-PEER LENDING
DOI:
https://doi.org/10.56127/juit.v2i3.1188Keywords:
Predictive Analytics, Fintech, Antifraud, Golang, Peer to peer LendingAbstract
Fintech startups, especially those in the peer-to-peer lending model, have major challenges regarding security risks and fraud. Therefore, this research aims to analyze the creation of an effective antifraud system to increase transaction security on peer-to-peer lending platforms. By understanding the characteristics of possible fraud and applying advanced technology, it is hoped that this system can provide better protection against security risks.
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