Open AccessInvestigating Cyberbullying on WhatsApp Using Digital Forensics Research Workshop
Author(s) -
Imam Riadi,
Sunardi Sunardi,
Panggah Widiandana
Publication year - 2020
Publication title -
jurnal resti (rekayasa sistem dan teknologi informasi)
Language(s) - English
Resource type - Journals
ISSN - 2580-0760
DOI - 10.29207/resti.v4i4.2161
Subject(s) - digital forensics , digital evidence , instant messaging , social media , cosine similarity , digital media , computer science , computer forensics , identification (biology) , value (mathematics) , internet privacy , procurement , similarity (geometry) , psychology , computer security , world wide web , artificial intelligence , pattern recognition (psychology) , business , machine learning , botany , image (mathematics) , biology , marketing
Cyberbullying in group conversations in one of the instant messaging applications is one of the conflicts that occur due to social media, specifically WhatsApp. This study conducted digital forensics to find evidence of cyberbullying by obtaining work in the Digital Forensic Research Workshop (DFRWS). The evidence was investigated using the MOBILedit Forensic Express tool as an application for evidence submission and the Cosine Similarity method to approve the purchase of cyberbullying cases. This research has been able to conduct procurement to reveal digital evidence on the agreement in the Group's features using text using MOBILedit. Identification using the Cosine method. Similarities have supported actions that lead to cyberbullying with different levels Improved Sqrt-Cosine (ISC) value, the largest 0.05 and the lowest 0.02 based on conversations against requests.