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Analysis of the Legal Effects of Default in the Sale and Purchase Agreement for Agricultural Facilities against the Parties (Case Study of District Court Decision Source Number 30/Pdt.G/2022/PN Sbr) Rahmah Nurazizah, Maulina; Shabrinah, Luthfiyah; Mayana, Sinta; Rahman, Alip; Dikrurahman, Diky
Asian Journal of Social and Humanities Vol. 2 No. 9 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i9.326

Abstract

The legal basis for assessing a default case is Article 1238 of the Civil Code which explains that a default occurs when the debtor does not fulfill its obligations according to the agreement. A tort lawsuit is a civil lawsuit that refers to default in an agreement and is submitted through a lawsuit letter, where letter evidence has an important role in proving the claim. In the decision of this case, the court considers the evidence and suitability between the claim and the relevant legal basis for making a decision in the case. Factors such as the location of the collateral object, differences in the name of the landowner, and the clarity of the goods auctioned are the main considerations in determining the granting of the lawsuit and the rejection of the application for auction of collateral. The results showed that the Source District Court used Article 1238 of the Civil Code as a legal basis in assessing cases of default in the sale and purchase agreement of agricultural facilities, with a letter of agreement as the main evidence. The factors that caused some of the Plaintiff's claims to be granted and some of the Defendants' requests for auction of debt collateral were the discrepancy between the description of the lawsuit and the evidence of the letter submitted, especially regarding the location of the collateral object, differences in the name of the landowner, and the vagueness of the goods to be auctioned.
Regulating Ai-Generated Content: A Comparative Study of Digital Rights And Algorithmic Accountability In Indonesia Dikrurahman, Diky; Abdullah, Abdullah
Advances In Social Humanities Research Vol. 3 No. 12 (2025): Advances In Social Humanities Research
Publisher : Sahabat Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/adv.v3i12.529

Abstract

The rapid proliferation of AI-generated content poses unprecedented governance challenges globally. In Indonesia, 212 million internet users face risks from deepfakes, misinformation, and algorithmic bias, while policymakers struggle to balance innovation encouragement against digital rights protection and algorithmic accountability. This research examines Indonesia's emerging regulatory approaches to AI-generated content, analyzing how proposed and implemented policies balance freedom of expression, innovation, and harm prevention. The study employs a qualitative exploratory case study design conducted over eight weeks, utilizing semi-structured interviews with 5-8 expert stakeholders (government officials, platform representatives, civil society advocates, legal scholars) and systematic document analysis of existing laws, proposed legislation, and comparative regulatory frameworks from the EU, Singapore, and US. Key findings reveal four critical insights. First, Indonesia's regulatory landscape remains fragmented, applying multiple pre-AI laws that inadequately address generative AI challenges, creating fundamental tensions between innovation and rights protection. Second, critical accountability gaps persist throughout the AI content lifecycle due to technical opacity, distributed responsibility, and limited redress mechanisms. Third, severe implementation constraints include technical capacity deficits, inter-agency coordination failures, enforcement difficulties against foreign actors, and political economy dynamics enabling corporate influence while marginalizing vulnerable populations. Fourth, Indonesia occupies a middle ground between the EU's comprehensive regulation and US market minimalism, adapting pragmatic approaches to its distinctive context. The study concludes that effective AI governance in developing countries requires five essential elements: substantial technical capacity investment, robust coordination mechanisms, accessible accountability systems, inclusive policy development processes, and international cooperation enabling meaningful regulatory authority rather than passive acceptance of externally-designed frameworks.