Yohanna Putri Prima Kania, . (2023) PEMANFAATAN PROGRAM ARTIFICIAL INTELLIGENCE DALAM MENANGKAL TINDAK PIDANA PERDAGANGAN ORANG DI INDONESIA. Jurnal Kertha Semaya, 12 (4). pp. 761-775. ISSN 2303-0569
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
2010611245_ArtikelKI.pdf Restricted to Repository staff only Download (240kB) |
Abstract
The purpose of this study is to examine the obstacles to overcoming the criminal act of human trafficking in Indonesia and the use of artificial intelligence programs as a solution in preventing this criminal act. This study uses normative legal research methods with a statutory and conceptual approach. The results of the study show that efforts to overcome the crime of trafficking in persons that have been carried out by the government and law enforcement officials through the issuance of Law Number 21 of 2007 concerning the Eradication of the Crime of Trafficking in Persons, as well as the formation of a Task Force for the Prevention and Handling of TIP are not effective enough to be implemented in Indonesia due to the problem of widespread falsification of data and documents in the passports of prospective migrant workers. In overcoming these obstacles, efforts are needed to utilize sophisticated technological innovation through the development of a data platform, an artificial intelligence program that can improve the ability of the government and law enforcement officials to detect and prevent human trafficking crimes, especially detecting falsification of data and documents in the passports of prospective migrant workers.
| Item Type: | Article |
|---|---|
| Additional Information: | [No.Panggil : 2010611245] [Pembimbing : Slamet Tri Wahyudi] [Penguji 1 : Aji Lukman Ibrahim] [Penguji 2 : Abdul Kholiq] |
| Uncontrolled Keywords: | Artificial Intelligence, Countermeasures, Human Trafficking. |
| Subjects: | K Law > K Law (General) |
| Divisions: | Fakultas Hukum > Program Studi Hukum (S1) |
| Depositing User: | Yohanna Putri Prima Kania |
| Date Deposited: | 20 Feb 2024 06:47 |
| Last Modified: | 20 Feb 2024 06:47 |
| URI: | http://repository.upnvj.ac.id/id/eprint/28641 |
Actions (login required)
 |
View Item |