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All Journal ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) BEAM
Royani Royani
Universitas Ichsan Satya
Humanities Social Sciences

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Impact of Outcome-Based Education on Graduate Readiness in the Era of Globalization through International Benchmarking: Pengaruh Outcome-Based Education (OBE) terhadap Kesiapan Lulusan di Era Globalisasi Studi Benchmarking Internasional Royani Royani; Rifqi Fahrudin; Audira Freya Syatifa; Eka Dian Astuti
ADI Pengabdian Kepada Masyarakat Vol 5 No 2 (2025): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v5i2.1215

Abstract

Outcome Based Education (OBE) is an educational approach that emphasizes the achievement of clear and measurable learning outcomes to ensure graduates possess competencies relevant to industry needs and global challenges. This study aims to analyze the impact of OBE implementation on graduate readiness to compete in the global arena through an international benchmarking study. The research method employed is a comparative study, examining OBE implementation in several countries, such as Australia, Singapore, and Finland, and comparing it with the current situation in Indonesia. Data were collected through literature reviews, education policy reports, and interviews with academics and industry professionals. The findings indicate that countries with well-established OBE practices tend to produce graduates who are more competitive in the global job market. Key factors contributing to the success of OBE include curriculum flexibility based on industry demands, competency-based assessments and strong collaboration between higher education institutions and the workforce. In contrast, Indonesia faces several challenges in implementing OBE, such as limited infrastructure, lack of training for educators, and a gap between higher education and industry requirements. Therefore, a more structured strategy is needed, including curriculum reform, improved teaching quality and strengthened partnerships with industry sectors. This study offers insights for policymakers and educational institutions to optimize OBE practices in order to enhance graduate competitiveness in the era of globalization.  
Human-Centered Generative AI for Ethical andSustainable Media Broadcasting Asher Nuche; Rifqi Fahrudin; Royani Royani
Bridging of Emerging AI and Media Broadcasting (BEAM) Vol. 1 No. 2 May (2026): Bridging of Emerging AI and Media Broadcasting
Publisher : Sundara Publishing

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Abstract

The rapid expansion of generative artificial intelligence has transformed media broadcasting by enabling automated content creation, synthetic personalities, real-time production, and personalized audience interaction within decentralized digital ecosystems. However, this transformation also raises critical concerns regarding ethical accountability, audience trust, algorithmic transparency, energy consumption, and the sustainability of AI-driven broadcasting infrastructure. This study aims to examine how human-centered generative AI can support ethical and sustainable media broadcasting while maintaining creativity, journalistic integrity, audience engagement, and environmental responsibility. The method research employs a qualitative conceptual approach based on a structured literature review of recent studies on generative AI, digital media broadcasting, decentralized content systems, AI ethics, and green computing. The analysis is organized around key dimensions, including human-centered design, synthetic media governance, audience personalization, decentralized infrastructure, and energy-efficient AI implementation. The Result findings indicate that human-centered generative AI can enhance broadcasting innovation by improving content efficiency, adaptive storytelling, audience relevance, and interactive media experiences. At the same time, ethical safeguards such as AI labeling, provenance tracking, privacy protection, editorial oversight, and transparent algorithmic governance are essential to prevent misinformation, manipulation, and audience distrust. The study also highlights that sustainable broadcasting re- quires optimized AI models, green data centers, and responsible infrastructure management. This paper concludes that the integration of human-centered, ethical, and sustainable principles is necessary to ensure that generative AI strengthens media broadcasting ecosystems without replacing human values, creativity, and social responsibility.
Co-Authors Asher Nuche Audira Freya Syatifa Eka Dian Astuti Rifqi Fahrudin