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Cyberbullying Detection on TikTok using Association of Chief Police Officers

by Pangestika Rona Leonsa, Imam Riadi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 3
Year of Publication: 2024
Authors: Pangestika Rona Leonsa, Imam Riadi

Pangestika Rona Leonsa, Imam Riadi . Cyberbullying Detection on TikTok using Association of Chief Police Officers. International Journal of Computer Applications. 186, 3 ( Jan 2024), 6-13. DOI=10.5120/ijca2024923359

@article{ 10.5120/ijca2024923359,
author = { Pangestika Rona Leonsa, Imam Riadi },
title = { Cyberbullying Detection on TikTok using Association of Chief Police Officers },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2024 },
volume = { 186 },
number = { 3 },
month = { Jan },
year = { 2024 },
issn = { 0975-8887 },
pages = { 6-13 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2024923359 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T01:29:35.945410+05:30
%A Pangestika Rona Leonsa
%A Imam Riadi
%T Cyberbullying Detection on TikTok using Association of Chief Police Officers
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 3
%P 6-13
%D 2024
%I Foundation of Computer Science (FCS), NY, USA

Along with increasingly rapid technological developments, the growth of social media users is also increasing, as is cybercrime activity. Social media applications in Indonesia, such as TikTok are ranked second with the most users in the world. So this application is vulnerable to cyber crimes such as cyberbullying. This research aims to investigate the TikTok application in cases of cyberbullying. The research object that will be discussed in this research is the Tiktok application which runs on Android-based smartphones. This research uses the Association of Chief Police Officers (ACPO) method which has four research stages: planning, collection, analysis, and presentation. The tools used in this research are MOBILedit Forensic Express, Magnet AXIOM, and DB Browser for SQLite. The research results show that the MOBILedit Forensic Express forensic tool obtained forensic accuracy calculation results with a percentage of 85%. AXIOM Magnet obtained forensic accuracy calculation results with a percentage of 91%. DB Browser for SQLite obtained forensic accuracy calculation results with a percentage of 87%. Based on research results, the tool can retrieve evidence in the form of application information, usernames, messages, contacts, and deleted messages.

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Index Terms

Computer Science
Information Sciences


ACPO Cyberbullying Forensics Mobile TikTok.