Digital Forensic Investigates Sexual Harassment on Telegram using Naïve Bayes

The widespread use of Telegram in Indonesia has had both positive and negative effects. While the app offers strong security features, it also become a platform for digital crimes, including sexual harassment. This study aims to address need effective forensic analysis classification methods by employing National Institute Justice (NIJ) methodology Naïve Bayes classifier analyze conversations on Telegram. research evaluates performance tools effectiveness method identifying instances harassment conversation. data analyzed is about telegram application that contain Data collection involves extracting relevant subjecting them using MOBIL edit Forensic Express FTK Imager. Based test results, naïve algorithm can be used classify into value obtained from testing accuracy 91.3%, Precision 100%, Recall 90%.