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AML/CFT Journal The Journal of Anti Money Laundering and Countering the Financing of Terrorism
Published by Pusat Pelaporan dan Analisis Transaksi Keuangan
ISSN : 2963220X     EISSN : 2964626X     DOI : https://doi.org/10.59593/amlcft
Core Subject : Economy, Social,
Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice
AML/CFT Journal: The Journal of Anti Money Laundering and Countering the Financing Terrorism published by the Indonesia Financial Transaction Report and Analysis Center (INTRAC) or in Bahasa "Pusat Pelaporan dan Analisis Transaksi Keuangan (PPATK)", contains publication on the research and studies on issues related to Anti Money Laundering and Countering the Financing of Terrorism. The scope of articles for AML/CFT Journal shall focus on Anti-Money Laundering and Prevention of the Financing of Terrorism in which coverage includes but is not restricted to: 1. Money Laundering from Predicate Crimes; 2. Green financial crime; 3. Organized crime and Financing of Terrorism; 4. Money laundering using financial technology; 5. Development in financial crime investigations; 6. Trends in mode and typology of financial crimes; 7. Tracing and recovering assets; 8. Supervision of compliance with anti-money laundering and countering the financing terrorism programs; 9. Proliferation of mass destruction; 10. Crimes in Banking system.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Keuangan
Articles 75 Documents
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Kebaikan atau Ancaman? Model Analytic Hierarchy Process untuk Penilaian Risiko Pendanaan Terorisme Wardhana, I Made Wisnu
AML/CFT Journal : The Journal Of Anti Money Laundering And Countering The Financing Of Terrorism Vol 4 No 1 (2025): Pencucian Uang dan Pendanaan Terorisme: Risiko, Teknologi, dan Regulasi
Publisher : Pusat Pelaporan dan Analisis Transaksi Keuangan (PPATK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59593/amlcft.2025.v4i1.266

Abstract

Non-profit organisations (NPOs) in Indonesia remain highly vulnerable to exploitation for terrorism financing despite the existence of legal and regulatory frameworks. Both registered and unregistered entities are often misused under humanitarian, religious, or educational fronts, exposing significant gaps in oversight. This study develops an Analytic Hierarchy Process (AHP)-based framework to systematically assess the terrorism financing risks of NPOs. Eight key indicators identified from prior qualitative research are categorised into two dimensions (internal and external) and weighted according to their relative significance. Eleven verified case studies of NPOs involved in terrorism financing were analysed using this model. The analysis produces quantifiable risk scores that are visualised in a two-dimensional matrix, classifying NPOs into low, moderate, or high-risk categories. Findings reveal that high-risk NPOs are typically unregistered, utilise personal bank accounts, and maintain direct or ideological links with domestic and transnational terrorist networks. The proposed AHP model provides an objective and operational tool for intelligence and regulatory authorities to prioritise supervision and allocate resources effectively, thereby strengthening Indonesia’s risk-based approach to counter-terrorism financing and offering potential adaptability within broader regional frameworks.
Deteksi Tipologi Pencucian Uang Berbasis Graph Analytics dan Neural Network Alham, Lalu Garin; Tsabitah, Nadia; Zaman, Yusuf Muhammad Nur
AML/CFT Journal : The Journal Of Anti Money Laundering And Countering The Financing Of Terrorism Vol 4 No 1 (2025): Pencucian Uang dan Pendanaan Terorisme: Risiko, Teknologi, dan Regulasi
Publisher : Pusat Pelaporan dan Analisis Transaksi Keuangan (PPATK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59593/amlcft.2025.v4i1.269

Abstract

Money laundering accounts for an estimated 2–5% of global GDP annually with scale intensified by digital ecosystems. Conventional AML systems using primarily rule-based and transactional patterns struggle to detect relational behaviors of financial crimes. This study introduces an integrated graph-analytic framework to detect structural laundering patterns using graph-derived metrics to neural network pipeline. The paper evaluates eccentricity, degree, closeness measures, and directionality of flow to distinguish laundering activities, supported by Welch’s t-test which confirms statistically significant differences across five of six metrics (p < 0.001). A Multi-Layer Perceptron (MLP) model is further applied to classify 17 typologies with ~80% accuracy. The key contribution of this research lies in demonstrating that financial crime typologies can be extracted from network topology itself instead of sole reliance on transactional features. By linking graph metrics with laundering behaviors including placement, layering, and integration patterns the study provides a scalable, network-aware approach to AML detection. Future work should focus on real-world validation and real-time classification pipelines using graph-neural inference.
Pertanggungjawaban Korporasi dalam Transfer Teknologi Dual-Use yang Berkontribusi pada Proliferasi Senjata Pemusnah Massal Kurnia, Kana
AML/CFT Journal : The Journal Of Anti Money Laundering And Countering The Financing Of Terrorism Vol 4 No 1 (2025): Pencucian Uang dan Pendanaan Terorisme: Risiko, Teknologi, dan Regulasi
Publisher : Pusat Pelaporan dan Analisis Transaksi Keuangan (PPATK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59593/amlcft.2025.v4i1.277

Abstract

The role of transnational corporations in the transfer of dual-use technology increases the risk of the proliferation of Weapons of Mass Destruction (WMD) globally. This research aims to analyze international legal arrangements and formulate an ideal corporate liability model to be applied in Indonesia. This study uses a normative juridical method with a comparative legal approach to practice in the United States (US) and the European Union. The results of the study show that regulations in Indonesia are still sectoral and inadequate in meeting the standards of UNSCR 1540 (2004). It was concluded that Indonesia needs to establish a hybrid regulatory ecosystem through the new Strategic Trade Management (STM) Law. This ideal model requires the implementation of the Internal Compliance Programme (ICP) and Know Your End-User (KYE) due diligence as a precaution, as well as integrating rapid administrative sanctions and severe penalties as enforcement mechanisms.
Apakah Peredaran Uang Tunai Memprediksi Pencucian Uang? Bukti dari Laporan Transaksi Keuangan Mencurigakan (LTKM) Wartiningsih; Insani, Nur
AML/CFT Journal : The Journal Of Anti Money Laundering And Countering The Financing Of Terrorism Vol 4 No 1 (2025): Pencucian Uang dan Pendanaan Terorisme: Risiko, Teknologi, dan Regulasi
Publisher : Pusat Pelaporan dan Analisis Transaksi Keuangan (PPATK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59593/amlcft.2025.v4i1.278

Abstract

Understanding and anticipating money laundering risks remains a formidable challenge for financial authorities, primarily because Suspicious Transaction Reports (STRs) function as lagging indicators rather than real-time proxies for illicit activities. This disconnect necessitates the development of early warning indicators (EWIs) capable of signaling latent risks as institutional reporting behaviors unfold. This study investigates whether fluctuations in currency circulation provide predictive signals for STR volumes in subsequent periods. Drawing on cash-based money laundering theory and acknowledging detection lags inherent in compliance processes, this study argued that currency fluctuations encapsulate information regarding latent suspicious activities that manifest only after a temporal delay. Methodologically, the study employs a panel count model utilizing fixed-effects negative binomial regressions alongside extensive robustness checks, including hurdle and zero-inflated specifications, on monthly panel data from 34 Indonesian provinces spanning 2022 to 2024. The empirical analysis reveals that cash inflows and outflows significantly predict STR volumes with a lead time of two to three months. Conversely, the circulation of counterfeit currency shows no significant correlation. These findings suggest that physical currency circulation can serve as a robust EWI for monitoring financial crime risks, specifically to inform supervisory prioritization, compliance resource allocation, and macro-financial oversight in cash-dependent economies.
Corrigendum AML-CFT Journal, Admin
AML/CFT Journal : The Journal Of Anti Money Laundering And Countering The Financing Of Terrorism Vol 4 No 1 (2025): Pencucian Uang dan Pendanaan Terorisme: Risiko, Teknologi, dan Regulasi
Publisher : Pusat Pelaporan dan Analisis Transaksi Keuangan (PPATK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59593/amlcft.2025.v4i1.280

Abstract

Corrigendum to “Potential for the Misuse of Foundations’ Annual Reports in the Commission of Money Laundering Crimes” In the original publication of this article, the author submitted a correction to Table 1, as all columns in the table had been checked. This inaccuracy could potentially lead to misinterpretation. The correction was proposed to ensure data accuracy and provide information that aligns with the contents of the foundation’s annual report.

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