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Showing 74 articles found for "Regulatory"

Socialization and Training on Income Tax Article 21 Based on the Average Effective Rate (TER) for MSMEs in Watesprojo Village

Dwi Dewianawati, Erry Setiawan, Dian Indrianto, Buyung Cahya Perdana, Harjo Lukito, Ratna Agustina
Abstract: Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in the national economy; however, tax compliance, particularly related to Income Tax Article 21, remains relatively low. The main challenges faced by MSME… E actors include limited tax literacy, complexity in tax calculations, and insufficient understanding of recent regulatory changes. To address these issues, the government introduced the Average Effective Rate (TER) scheme as an administrative simplification for calculating Income Tax Article 21. Nevertheless, the implementation of this scheme has not been fully understood by MSMEs at the village level. This study aims to conduct socialization and training on Income Tax Article 21 based on the TER scheme for MSMEs in Watesprojo Village and to evaluate its effectiveness in improving tax understanding and technical capability. The research method involved initial observation, regulatory socialization, practical tax calculation training, and participant evaluation. The results indicate a noticeable improvement in MSME actors’ understanding of the legal basis of Income Tax Article 21, the changes in the calculation scheme, and the practical application of the TER mechanism without disrupting business activities. Overall, the socialization and training activities proved effective in enhancing tax literacy and supporting sustainable tax compliance among MSMEs.

Artificial Intelligence And Decision Making Processes In International Corporations

Abdul Hafid
Abstract: This paper explores the role of Artificial Intelligence (AI) in enhancing decision-making processes within multinational corporations. The primary issue addressed is how AI can be integrated effectively across diverse global… obal markets, considering factors like regulatory frameworks, cultural diversity, and market dynamics. The research proposes a framework for AI implementation that ensures both operational efficiency and ethical soundness. The study employs a mixed-methods approach, combining qualitative interviews and quantitative surveys from key stakeholders in multinational corporations. Preliminary findings suggest that AI significantly improves decision-making speed and accuracy, particularly in data analysis, market trend prediction, and consumer behavior forecasting. However, challenges remain in adapting AI systems to various cultural and regulatory environments, highlighting the need for customization and local adjustments. This study contributes to understanding how AI can be applied more effectively and ethically across international markets, offering insights for future implementations in diverse business contexts.

Consumer Protection in Live Streaming-Based Commercial Transactions

Yanti Yulianti
Abstract: The rapid evolution of digital technologies, particularly live streaming features in e-commerce platforms, has significantly transformed consumer behavior while introducing new risks to consumer protection. Live streaming… g based commercial transactions often involve real time, visually driven interactions that encourage impulsive purchasing decisions, making traditional regulatory frameworks insufficient. This study aims to analyze the primary factors influencing consumer protection in live commerce settings by examining five core variables: product transparency, platform accountability, perceived risk, consumer trust, and digital literacy. Utilizing a qualitative exploratory approach, this research conducted a comprehensive literature review of 77 international journal articles published between 2020 and 2024. The findings indicate that product transparency and platform accountability are fundamental to enhancing consumer trust and reducing perceived risks, whereas digital literacy acts as a moderating factor that empowers consumers to make informed decisions. The study proposes a conceptual framework that integrates behavioral and regulatory dimensions, offering both theoretical insights and practical implications for improving consumer protection in fast paced, interactive digital marketplaces.

Arrest and Detention in Indonesian Criminal Procedure Code under Human Rights Perspective

Arif Setiawan, Muhammad
Abstract: This paper aims to analyze the regulatory framework on arrest and detention in Indonesian Criminal Procedure Code under human rights perspective. This study employed doctrinal legal research using statute and conceptual… approaches. The findings of this research reveal that the principles of law enforcement and human rights, which include the principles of legality, necessity, and proportionality, are essentially general principles that can be used to determine whether state actions that interfere with citizens' rights and freedoms violate or do not violate human rights. The legal provisions concerning arrest and detention did not fit the human rights standpoint particularly in the context of procedure and the length of detention. The proportionality and the necessity principle have not been fully considered as the ethical basis for arresting the perpetrator of a crime. Hence, what is needed is to amend the Criminal Procedure Code considering the adoption of both necessity and proportionality principle in the arrest and detention.