Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
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This Author published in this journals
All Journal International Journal of Business and Quality Research
Kelibia, M. Umar
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Strengthening Legal Protection for Indonesian Fisheries Exports in International Trade Ilman, La; Kelibia, M. Umar; Raunas, Ide; Harmoko, Harmoko; Giri, Raden; Myranika, Annie
International Journal of Business and Quality Research Vol. 4 No. 02 (2026): International Journal of Business and Quality Research (IJBQR)
Publisher : Citakonsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijbqr.v4i02.3259

Abstract

This study examines the importance of strengthening legal protection for Indonesian fisheries exports within the framework of international trade. As one of the world’s largest producers of marine resources, Indonesia holds significant potential in the global fisheries market. However, the competitiveness of its fisheries exports is often constrained by complex international regulations, including sanitary and phytosanitary standards, traceability requirements, and sustainability certifications imposed by importing countries. These regulatory challenges highlight the critical role of international trade law in shaping market access and export performance. This research adopts a normative juridical approach, analyzing international legal instruments, trade agreements, and national regulatory frameworks relevant to fisheries exports. The findings reveal that while existing legal frameworks provide opportunities for market expansion, gaps in regulatory alignment, enforcement mechanisms, and institutional capacity limit their effectiveness. Additionally, issues such as illegal, unreported, and unregulated (IUU) fishing, as well as environmental compliance, pose significant legal risks for Indonesian exporters. The study emphasizes the need for harmonization between domestic regulations and international standards, as well as the strengthening of institutional governance and compliance mechanisms. Enhancing legal protection is essential to ensure sustainable fisheries practices, improve export competitiveness, and secure Indonesia’s position in the global seafood market. Keywords: International Trade Law; Fisheries Exports; Legal Protection; Indonesia; Sanitary and Phytosanitary Measures
The Effect of Artificial Intelligence on Public Service Quality in the Tax Service Sector Ilman, La; Kelibia, M. Umar; Raunas, Ide; Harmoko, Harmoko; Giri, Raden; Zulfikar, Pandri
International Journal of Business and Quality Research Vol. 4 No. 02 (2026): International Journal of Business and Quality Research (IJBQR)
Publisher : Citakonsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijbqr.v4i02.3388

Abstract

The rapid development of Artificial Intelligence (AI) has significantly transformed public sector operations, particularly in the tax service sector. This study aims to analyze the effect of AI on public service quality, focusing on efficiency, accuracy, responsiveness, and taxpayer satisfaction. Using a qualitative approach through a literature review of recent academic studies (2015–2025), this research examines how AI technologies such as machine learning, predictive analytics, and chatbots contribute to improving tax administration services. The findings indicate that AI enhances service quality by automating administrative processes, reducing human error, and enabling faster and more reliable service delivery. AI-driven systems also support data-driven decision-making, which improves transparency and accountability in tax administration. Furthermore, the use of AI-based digital platforms increases accessibility and user satisfaction by providing real-time assistance and personalized services. However, the implementation of AI also presents challenges, including data security risks, system reliability issues, and ethical concerns such as algorithmic bias and lack of transparency. These challenges highlight the need for robust governance frameworks and continuous system evaluation. Overall, AI has a significant positive impact on public service quality in the tax sector, provided that its implementation is supported by appropriate infrastructure, human resources, and regulatory policies. Keywords: Artificial Intelligence; Public Service Quality; Tax Services; E-Government
Co-Authors Annie Myranika Giri, Raden Harmoko Harmoko, Harmoko Ilman, La Raunas, Ide Zulfikar, Pandri