Utilising Big Data For Non-Profit Organisation In Tackling Terrorist Financing In Indonesia

Lisanawati, Go and Mandiana, Sari (2025) Utilising Big Data For Non-Profit Organisation In Tackling Terrorist Financing In Indonesia. International Journal of Legal Studies and Policy (IJLSP), 1 (1). pp. 33-60. ISSN 2617-8842; E-ISSN 2617-8850

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Abstract

The role of Big Data is essential in enforcing laws aimed at combating terrorist financing and in the operation of Non-profit organisations. The prioritisation of Big Data utilisation is essential for Non-profit organisations in addressing the challenge of Terrorist Financing. This article aims to analyse the use of Big Data by Non-profit organisations in Indonesia, which are noted for their vulnerabilities and may act as channels for terrorist funding. This article presents a conceptual framework and engages in thorough descriptive analysis. The article employs qualitative methodology with triangulation to assess the theoretical framework and identify legal gaps related to the role of Non-profit organisations in Terrorist Financing, as well as the application of Big Data to mitigate associated risks. The primary reference is grounded in Indonesian regulations pertaining to Non-profit organisations and the Anti-Terrorist Financing Law. This article illustrates how Non-profit organisations can utilise Big Data to reduce their vulnerability to threats and risks linked to terrorism financing while simultaneously improving reporting compliance, accountability, and transparency regarding their financial resources. Nonprofit organisations and reporting parties must ensure compliance with the verification and monitoring of suspicious transactions.

Item Type:	Article
Uncontrolled Keywords:	Big Data,Disclosure,Financing of Terrorism,Non-profit organisations,Terrorism
Subjects:	K Law > K Law (General)
Divisions:	Faculty of Law > Department of Law
Depositing User:	Ester Sri W. 196039
Date Deposited:	19 Aug 2025 02:43
Last Modified:	19 Aug 2025 02:43
URI:	http://repository.ubaya.ac.id/id/eprint/49423

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