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Normative Study of Law No. 27 of 2022 on the Protection of Personal Data and its Impact on the Fintech Industry in Indonesia Zuwanda, Zulkham Sadat; Judijanto, Loso; Khuan, Hendri; Triyantoro, Andri
West Science Law and Human Rights Vol. 2 No. 04 (2024): West Science Law and Human Rights
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wslhr.v2i04.1367

Abstract

The enactment of Law No. 27 of 2022 on Personal Data Protection marks a pivotal moment in Indonesia’s regulatory framework, particularly for industries that handle significant amounts of personal data, such as the financial technology (fintech) sector. This study provides a normative juridical analysis of the PDP Law and examines its impact on the fintech industry. The research focuses on the law’s key provisions, including consent requirements, data breach notification, and data security obligations. Additionally, the study explores the operational challenges fintech companies face in complying with the law, such as the costs of compliance, technical requirements, and the need for employee training. While the PDP Law enhances consumer trust by offering greater protection and transparency, it also presents hurdles that fintech firms must overcome to ensure compliance. The analysis concludes with recommendations for fintech companies to balance legal obligations with innovation to maintain competitiveness in Indonesia’s evolving digital economy.
The Legal Framework in Addressing Modern Slavery and Human Trafficking a Focus on Indonesia Harsya, Rabith Madah Khulaili; Zuwanda, Zulkham Sadat
The Easta Journal Law and Human Rights Vol. 2 No. 02 (2024): The Easta Journal Law and Human Rights (ESLHR)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/eslhr.v2i02.208

Abstract

The legal, sociological, and practical aspects of stopping human trafficking and modern slavery in Indonesia are examined in this study. The study uses a mixed-methods approach, combining in-depth interviews with key informants from several sectors participating in anti-trafficking operations with normative analysis. The interviews provide rich insights from legal experts, law enforcement authorities, government representatives, NGOs, judicial staff, journalists, international organizations, and social workers; the normative analysis highlights the advantages and disadvantages of Indonesia's legal system. The results highlight difficulties such as a lack of resources, problems with coordination, and socioeconomic variables that increase susceptibility. Regular evaluations of the legal framework, improved coordination, victim-centric strategies, responsible media coverage, and international cooperation are among the recommendations. This study adds to the larger conversation about preventing human trafficking by providing a thorough grasp of the complex issues and viable solutions in the Indonesian setting.
Ethical and Legal Analysis of Artificial Intelligence Systems in Law Enforcement with a Study of Potential Human Rights Violations in Indonesia Zuwanda, Zulkham Sadat; Lubis, Arief Fahmi; Solapari, Nuryati; Sakmaf, Marius Supriyanto; Triyantoro , Andri
The Easta Journal Law and Human Rights Vol. 2 No. 03 (2024): The Easta Journal Law and Human Rights (ESLHR)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/eslhr.v2i03.283

Abstract

This research examines the ethical and legal implications of deploying Artificial Intelligence (AI) systems in law enforcement, with a particular focus on potential human rights violations in Indonesia. Utilizing a normative analysis approach, the study evaluates existing ethical frameworks, legal principles, and human rights standards to assess the governance and implications of AI-driven policing. Key findings indicate significant ethical concerns, including bias, discrimination, lack of transparency, and privacy violations. The legal analysis reveals gaps in Indonesia’s regulatory framework, highlighting the need for specific legislation to address AI’s complexities. Human rights implications, such as threats to privacy, freedom of expression, and equality, are critically analyzed. Comparative case studies from other jurisdictions provide empirical insights and underscore the importance of robust ethical and legal frameworks. The research proposes several recommendations, including the establishment of clear ethical guidelines, strengthening legal frameworks, enhancing transparency and accountability, promoting public engagement, and conducting regular impact assessments to ensure responsible AI governance in law enforcement. This study aims to contribute to the development of ethical AI governance frameworks and inform policy recommendations for responsible AI deployment in law enforcement practices.