Priska Maulidina Ayu Ananta
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Unraveling Bankruptcy: A Detailed Analysis of the PT Pazia Retailindo Case Priska Maulidina Ayu Ananta
The Digest: Journal of Jurisprudence and Legisprudence Vol. 5 No. 2 (2024): The Digest, December 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/digest.v5i2.19044

Abstract

Decision Number 44/Pdt.Sus-Pailit/2020/PN Niaga Jkt.Pst. discusses the bankruptcy process of PT Pazia Retailindo, initiated by two petitioners, PT Dana Kaya and Ambar Bawono. This study aims to identify the legal relationships among the parties involved and analyze the evidence submitted to support the bankruptcy petition. The method used is normative legal writing, focusing on the provisions of Law Number 37 of 2004 concerning Bankruptcy and Suspension of Debt Payment Obligations. The analysis shows that all requirements for the bankruptcy petition have been met, including the existence of more than one creditor, debts that have fallen due, and facts that can be proven simply. The judge decided to grant the bankruptcy petition, appointing a curator to manage the debtor's assets, and emphasized the importance of simple evidence in the bankruptcy legal process. This decision underscores the protection of creditor rights and fairness in the management of bankruptcy assets, reflecting the implications of the debtor's failure to fulfill its obligations.
Operationalizing Copyright for AI Visuals in Clinical Legal Education Priska Maulidina Ayu Ananta; Kholis Roisah
The Indonesian Journal of International Clinical Legal Education Vol. 7 No. 3 (2025): September
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ijicle.v7i3.42639

Abstract

The rapid expansion of generative artificial intelligence in visual content production has intensified legal debates on authorship, originality, and the permissible boundaries of stylistic imitation under copyright law, as large-scale automated generation increasingly blurs the distinction between protected expression and unprotected style. This article examines the doctrinal ambiguity surrounding AI-generated visual works, particularly with regard to stylistic emulation, market substitution, and the potential erosion of creators’ economic and moral interests. Employing a doctrinal-normative legal method complemented by comparative and policy-oriented analysis, the study formulates operational criteria to distinguish lawful stylistic inspiration from infringing expressive replication by translating core copyright principles, including the idea–expression dichotomy, originality, and substantial similarity, into practical analytical tools. The findings indicate that, while existing copyright doctrine remains normatively relevant, it requires methodological operationalization to address the scale, speed, and distributive impacts of generative technologies on creative labor markets. The article further proposes integrating these doctrinal and policy considerations into clinical legal education through problem-based learning models to strengthen students’ doctrinal competence, technological literacy, and normative sensitivity. It argues that effective governance of AI-generated visual works demands a holistic framework combining doctrinal clarification, impact-oriented policy evaluation, and educational reform in order to foster a more adaptive and socially responsive copyright regime in the age of generative artificial intelligence.