The rapid growth of online gambling in Indonesia poses significant challenges insocial, economic, and network security aspects. This study aims to visualize networktraffic patterns of online gambling sites using machine learning approaches,specifically the K-Means and DBSCAN algorithms. Data were collected throughnetwork tapping with Wireshark during access to online gambling sites andapplicatiā¦