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All Journal ADI Journal on Recent Innovation (AJRI) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) BEAM
Rifqi Fahrudin
Catur Insan Cendekia University
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Library & Information Science 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.  
Video Storytelling as an Effective Strategy for College Brand Awareness Rilla Gantino; Desy Apriani; Fanani Islamia Ningrum; Rifqi Fahrudin; Kamal Arif Al-Farouqi; Bintang Nanda Henry
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 2 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i2.1303

Abstract

As digital threats to privacy and data integrity continue to rise, cybersecurity has become a critical issue in the business and financial sectors. However, existing risk mitigation strategies tend to focus primarily on technical aspects, often overlooking the ethical dimensions that are vital for governance and decision-making, especially in the development and implementation of emerging technologies such as Artificial Intelligence (AI). This study aims to explore the role of ethical principles in cybersecurity risk mitigation through a Systematic Literature Review (SLR). A total of eleven relevant articles were analyzed using the SALSA framework (Search, Appraisal, Literature Systems, Analysis). The findings indicate that ethical values such as transparency, accountability, fairness, and compliance with regulations play a significant role in enhancing the effectiveness of cybersecurity strategies. Key challenges identified include the absence of global ethical standards, limited human resources with digital ethics expertise, and ethical dilemmas in the use of AI. This review underscores the necessity of integrating ethical values into organizational policies, technologies, and cultures to establish more sustainable and trustworthy cybersecurity systems.
Developing a Green AI Governance Framework for Sustainable Digital Business Transformation Syahyono Syahyono; Rifqi Fahrudin; Tiurida Lily Anita; Nyree Ani
ADI Journal on Recent Innovation (AJRI) Vol. 8 No. 1 (2026): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v8i1.1581

Abstract

Amid the rapid growth of Artificial Intelligence (AI) adoption in business environments, concerns regarding energy consumption, carbon emissions, ethical accountability, and sustainable governance have become increasingly significant, creating the need for frameworks that align AI deployment with sustainability objectives and digital transformation strategies. This study aims to develop a green AI governance framework that supports sustainable digital business transformation by integrating environmental, governance, and technological considerations into AI implementation practices. Using a Systematic Literature Review (SLR), relevant studies published between 2020 and 2025 were identified, screened, and analyzed to synthesize key themes, governance dimensions, and sustainability principles associated with green AI adoption in organizational contexts. The findings reveal that effective green AI governance is shaped by four interconnected dimensions including environmental sustainability, ethical and regulatory compliance, operational efficiency, and stakeholder accountability. Based on these findings, a conceptual framework is proposed that links AI lifecycle management, governance mechanisms, sustainability metrics, and business transformation outcomes to promote responsible and resource efficient AI deployment. The study concludes that organizations can enhance the sustainability and long term value of digital transformation initiatives by adopting a structured green AI governance approach that balances innovation, transparency, and environmental responsibility. The proposed framework contributes to both academic literature and managerial practice by offering strategic guidance for implementing sustainable AI systems while supporting organizational competitiveness and broader Sustainable Development Goals (SDGs).
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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 Bintang Nanda Henry Desy Apriani Eka Dian Astuti Fanani Islamia Ningrum Kamal Arif Al-Farouqi Nyree Ani Royani Royani Syahyono Syahyono Tiurida Lily Anita