This study aims to examine tax policies, money laundering practices, and avoidance for cryptocurrency asset transactions in Indonesia. study's samples were investors or holders of assets who transacted on the platform East Java. this research Using sampling technique using slovin formula, a total sample 399 stakeholders was obtained. While data collection used Multiple Linear Regression Analysi...

Monitoring financial transactions is a critical Anti-Money Laundering (AML) obligation for institutions. In recent years, machine learning-based transaction monitoring systems have successfully complemented traditional rule-based to reduce the high number of false positives and effort needed review all alerts manually. Unfortunately, solutions also disadvantages: while unsupervised models can d...