Optimizing the Functions of Immigration Intelligence and Immigration Assisted Villages in the Prevention of Trafficking in Persons: An Integrative Approach to Enhancing Community Resilience in Indonesia - A Systematic Literature Review

Authors

  • Wisda Purnamasari Universitas Indonesia
  • Arthur Josias Simon Runturambi Universitas Indonesia

DOI:

https://doi.org/10.46799/ajesh.v4i1.504

Keywords:

Crime Prevention, Early Warning System, Immigration Assisted Village, Immigration Intelligence, Trafficking in Persons

Abstract

Trafficking in Persons (TP) is a serious threat to national security and human rights in Indonesia. The complexity of this crime has increased over time, with an evolving modus operandi, especially in border areas and vulnerable communities. This research aims to analyze the optimization of the immigration intelligence function and the Immigration Assisted Village program in preventing TP, with an integrative approach based on technology and community empowerment. The research uses the systematic literature review (SLR) method to compile a comprehensive synthesis of related literature in the 2010-2024 period. The results of this research show that the integration of immigration intelligence functions, Early Warning Systems (EWS), and the Immigration Assisted Village program is proven to be able to increase the effectiveness of preventing TP. Big data technology and artificial intelligence play a key role in analyzing TP patterns and trends, while community empowerment through education and job training increases community resilience to this crime. However, the implementation of these strategies faces challenges, such as limited resources and inter-agency coordination. Implications This research recommends a multidisciplinary approach involving technology investment, community empowerment, and continuous evaluation to strengthen Indonesia's position in combating TP as well as increase community resilience to this threat.

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Published

2025-01-24