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Mobile Forensic Analysis of MiChat Application in Human Trafficking Cases using National Institute of Justice Method

by Shantika Adila Putri, Imam Riadi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 37
Year of Publication: 2025
Authors: Shantika Adila Putri, Imam Riadi
10.5120/ijca2025925638

Shantika Adila Putri, Imam Riadi . Mobile Forensic Analysis of MiChat Application in Human Trafficking Cases using National Institute of Justice Method. International Journal of Computer Applications. 187, 37 ( Sep 2025), 33-40. DOI=10.5120/ijca2025925638

@article{ 10.5120/ijca2025925638,
author = { Shantika Adila Putri, Imam Riadi },
title = { Mobile Forensic Analysis of MiChat Application in Human Trafficking Cases using National Institute of Justice Method },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2025 },
volume = { 187 },
number = { 37 },
month = { Sep },
year = { 2025 },
issn = { 0975-8887 },
pages = { 33-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number37/mobile-forensic-analysis-of-michat-application-in-human-trafficking-cases-using-national-institute-of-justice-method/ },
doi = { 10.5120/ijca2025925638 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-09-23T00:35:17.156080+05:30
%A Shantika Adila Putri
%A Imam Riadi
%T Mobile Forensic Analysis of MiChat Application in Human Trafficking Cases using National Institute of Justice Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 37
%P 33-40
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research investigates the misuse of the MiChat application in facilitating human trafficking activities in Indonesia by applying the digital forensic methodology developed by the National Institute of Justice (NIJ), which consists of five phases: identification, collection, examination, analysis, and reporting. Forensic analysis of the seized devices revealed 27 MiChat contact entries, 22 chat conversations between perpetrators and victims, and a suspicious user profile named Jordan Ghazafar with the bio HRD Mandala Spa. These findings demonstrate the app’s role in enabling exploitation through anonymous communication features and highlight the effectiveness of the NIJ methodology in uncovering critical digital evidence. The results contribute to a deeper understanding of traffickers modus operandi and support the development of more effective law enforcement strategies and digital crime prevention frameworks in Indonesia.

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Index Terms

Computer Science
Information Sciences

Keywords

MiChat Application Human Trafficking Digital Forensics National Institute of Justice

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