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 andapplicati…
This study aims to optimize the location of the stop point of the Feeder LRT Musi Emas on the LRT Polresta-Residential OPI Station Route using the Covering Based Problem (CBP) model formulation, namely the Set Sovering Location Problem (SCLP) and Maximal Covering Location Problem (MCLP) and the Greedy Heuristic algorithm with the LINGO 13.0 software tool. The Greedy Heuristic algorithm can solv…