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Analisis Komparasi Regulasi Registrasi Wajib Pajak Orang Pribadi di Indonesia dan Australia Siswahyudi, Siswahyudi
JKAP (Jurnal Kebijakan dan Administrasi Publik) 2008: JKAP VOLUME 12 NOMOR 1, TAHUN 2008
Publisher : Magister Administrasi Publik (MAP) FISIPOL Universitas Gadjah Mada

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in process
Kajian Sosiologis Pungutan Tapera Terhadap Buruh Siswahyudi, Siswahyudi; Arifin, Sada; Faizal, Sarman; Yuliana, Risma; Lubis, Ahmad Halim; Rahdar, A. Habib Amanatullah
Business Economic, Communication, and Social Sciences Journal (BECOSS) Vol. 6 No. 3 (2024): BECOSS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/becossjournal.v6i3.11886

Abstract

This article examines the impact of the Public Housing Savings Program (Tapera) on Indonesian workers from both legal and social perspectives. The program mandates a 3% salary deduction, shared between employees and employers. However, the policy has faced significant criticism for increasing financial burdens on workers, particularly during challenging economic conditions. The study employs a normative legal approach to analyze relevant regulations and assess the social impact of its implementation. The findings indicate that, while Tapera aims to improve workers' access to housing, it imposes additional financial strains. Furthermore, the lack of worker participation in the policy-making process exacerbates dissatisfaction. To address these issues, it is recommended that the government review the Tapera policy with active involvement from workers and labor unions. Alternative funding mechanisms, such as subsidies from the state budget or lighter installment schemes, should also be considered. A more inclusive and equitable approach could not only enhance the program's effectiveness but also foster stronger relationships between workers, the government, and employers, thereby achieving a better balance in its implementation.
The Utilization of Artificial Intelligence as a Contract Review Tool for Government Procurement of Goods and Services to Mitigate Legal Risks Siswahyudi, Siswahyudi; Suartini, Suartini; Rifai, Anis
Business Economic, Communication, and Social Sciences Journal (BECOSS) Vol. 7 No. 3 (2025): BECOSS (In Press)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/becossjournal.v7i3.13647

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This study examines the application of Artificial Intelligence (AI), specifically Natural Language Processing (NLP), as a strategic tool in reviewing government procurement contracts to mitigate legal risks. Manual contract review processes are often inefficient, prone to human error, and unable to keep up with the volume and complexity of government contracts. Using a normative-judicial legal research method, the study analyzes how AI integration can enhance legal certainty, efficiency, and accountability in public procurement. Through document digitization, standardized contract formats, and audit trail systems, AI can identify ambiguous or risky clauses, verify compliance with regulations, and provide recommendations supported by legal data and precedents. The study also investigates the current legal framework in Indonesia, identifying gaps that hinder AI implementation in administrative practices. While the ITE Law and Presidential Regulations offer a foundation for digital systems in governance, there is still no specific regulation governing AI use in legal decision support. Comparative insights from the UK, US, EU, and Morocco show that AI has improved review accuracy, reduced processing time, and strengthened public sector integrity, although concerns over transparency and algorithmic accountability persist. The study concludes that the integration of AI into procurement contract management offers significant potential for bureaucratic reform and risk mitigation, but requires robust legal frameworks, clear boundaries of responsibility, and institutional readiness. With adaptive policy support, ethical oversight, and inter-agency collaboration, AI can serve as a transformative instrument for enhancing good governance, preventing legal disputes, and protecting public officials in the execution of procurement responsibilities.