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All Journal AL WASATH Jurnal Ilmu Hukum The Journal of Anti Money Laundering and Countering The Financing of Terrorism (AML/CFT Journal)
Makmur, Kartini Laras
Unknown Affiliation
Humanities Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Social Sciences

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CAN RELIGION PREVENTS CORRUPTION? THE INDONESIAN EXPERIENCE Makmur, Kartini Laras
AL WASATH Jurnal Ilmu Hukum Vol 1 No 1 (2020): AL WASATH Jurnal Ilmu Hukum
Publisher : Prodi Ilmu Hukum Universitas Nahdlatul Ulama Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/alwasath.v1i1.24

Abstract

Researches on Anti-Corruption have found that politics, economics, and culture have a relation to corrupt practices. However, what about the influence of religion on corruption? Recently, there is an increasing interest in understanding the relationship between religion and corruption; could religion prevent corruption? This paper discusses the effect of religiosity on bureaucratic corruption in Indonesia. The results show that corrupt practices are negatively associated with religious heritage, signifying that religious culture takes a positive role in delimiting corrupt practices of government officials since religion has an influence on the normative anti-corruption paradigm. This paper also finds the negative relationship between religion and corruption is weaker for people who had experience requested by an official to paid illicit payment, which identifies the substitution chance of religious ethic and law enforcement in curbing corruption. Given the very few studies and limited data resources in the context of Indonesia, this paper is only a tentative study to contributes to the discussion of religion and corruption relations.
AML Berbasis AI: Kepatuhan Cerdas atau Ancaman HAM Tersembunyi? Makmur, Kartini Laras
AML/CFT Journal : The Journal Of Anti Money Laundering And Countering The Financing Of Terrorism Vol 3 No 2 (2025): Membongkar Lapisan Baru Kejahatan Keuangan: Integrasi Kajian Hukum, Sosial, dan T
Publisher : Pusat Pelaporan dan Analisis Transaksi Keuangan (PPATK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59593/amlcft.2025.v3i2.251

Abstract

Artificial intelligence (AI) is increasingly used by banks to detect and prevent money laundering; however, the adoption of AI-based anti-money laundering (AML) frameworks raises significant concerns regarding human rights protection. This paper examines the ways in which AI enhances AML efforts in the banking sector, the ethical and human rights challenges that arise from its implementation, and the extent to which these strategies comply with the proportionality test under Indonesian human rights law. Using a structured document analysis of relevant regulations and secondary literature, this study finds that AI applications must respect privacy and be proportionate in addressing money laundering offences, as affirmed by the Indonesian constitution and regulatory framework. The findings highlight the urgent need for comprehensive legal frameworks to guide the development and use of AI in AML, ensuring fairness, accountability, and transparency while safeguarding human rights.
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