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All Journal Jurnal Teknik Informatika C.I.T. Medicom Engagement: Jurnal Pengabdian Kepada Masyarakat
Bambang Saras Yulistiawan
Universitas Pembangunan Nasional Veteran Jakarta
Religion Arts Humanities Computer Science & IT Education Social Sciences

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A Conceptual Framework for Autonomous AI Governance in Smart Digital Ecosystems Bambang Saras Yulistiawan
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 3 (2023): July: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The rapid advancement of autonomous Artificial Intelligence (AI) technologies has significantly transformed smart digital ecosystems across sectors such as smart cities, healthcare, fintech, autonomous transportation, Internet of Things (IoT), and Industry 4.0. While autonomous AI offers substantial benefits in automation, efficiency, and intelligent decision-making, its increasing adoption also creates complex governance challenges related to algorithmic bias, lack of transparency, cybersecurity threats, privacy violations, accountability ambiguity, and long-term societal risks. This study aims to develop a conceptual framework for autonomous AI governance in smart digital ecosystems by integrating ethical, technical, regulatory, adaptive, and human-centered governance dimensions into a unified governance architecture. This study employs a qualitative conceptual research approach using theory-building methodology and literature synthesis. Data were obtained from academic journals, conference proceedings, AI governance reports, international regulations, policy documents, and institutional publications related to autonomous AI, responsible AI, cybersecurity, and digital governance. The analysis was conducted using systematic literature review, thematic analysis, comparative framework analysis, conceptual mapping, and governance modeling techniques. The findings indicate that autonomous AI governance requires a multidimensional and interconnected governance structure capable of addressing ethical, legal, technical, organizational, and sustainability challenges simultaneously. The proposed framework consists of six governance dimensions: ethical governance, regulatory governance, technical governance, data governance, adaptive governance, and human-AI collaboration governance. These dimensions collectively support fairness, transparency, accountability, cybersecurity, privacy protection, ecosystem resilience, and human oversight within autonomous AI environments. This study concludes that integrated and adaptive governance mechanisms are essential for ensuring responsible, transparent, secure, and sustainable AI implementation in smart digital ecosystems while supporting trustworthy and resilient digital transformation.
Toward an Integrated Intelligent Data Governance Architecture for Decision-Centric Digital Systems Bambang Saras Yulistiawan
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 3 (2023): July: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The rapid advancement of artificial intelligence (AI), big data analytics, cloud computing, Internet of Things (IoT), and autonomous digital technologies has transformed modern digital ecosystems into highly interconnected and decision-centric environments. However, the widespread adoption of intelligent systems has also introduced significant governance challenges, including fragmented data governance, cybersecurity risks, interoperability limitations, privacy concerns, algorithmic bias, lack of transparency, and weak accountability mechanisms. Existing governance frameworks often operate independently across data governance, AI governance, cybersecurity, and decision-support systems, making them inadequate for managing dynamic and intelligent digital infrastructures. This study aims to propose an integrated intelligent data governance architecture that supports adaptive, secure, transparent, and decision-centric digital systems. This study employs a qualitative-conceptual methodology using Design Science Research (DSR), Systematic Literature Review (SLR), and framework development approaches. Secondary data were collected from scientific journals, conference proceedings, governance frameworks, industry reports, and international standards such as ISO, OECD AI Principles, NIST AI RMF, GDPR, COBIT, and DAMA-DMBOK. Data analysis was conducted using thematic analysis, comparative analysis, architectural analysis, and governance layer modeling. The findings reveal that intelligent digital ecosystems require integrated governance mechanisms combining data governance, AI governance, cybersecurity, explainable AI, interoperability, decision intelligence, and adaptive feedback systems. The proposed architecture consists of seven interconnected layers that collectively improve governance transparency, accountability, operational resilience, digital trust, and decision quality. The study concludes that integrated intelligent governance architectures are essential for supporting sustainable, secure, and trustworthy digital transformation in modern AI-driven environments.
A Unified Theoretical Model of AI-Driven Governance for Adaptive Digital Transformation Bambang Saras Yulistiawan
Jurnal Teknik Informatika C.I.T Medicom Vol 16 No 2 (2024): May: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The rapid advancement of artificial intelligence (AI), Internet of Things (IoT), cloud computing, big data analytics, and autonomous systems has accelerated digital transformation across various sectors, creating increasingly interconnected and intelligent digital ecosystems. However, the widespread adoption of AI technologies also generates complex governance challenges related to transparency, accountability, cybersecurity, data privacy, interoperability, and ethical compliance. Existing AI governance frameworks remain fragmented, sector-specific, and insufficiently integrated to address the adaptive and dynamic nature of modern digital environments. Therefore, this study aims to develop a unified theoretical model of AI-driven governance for adaptive digital transformation. This research employs a qualitative conceptual approach using a systematic and integrative literature review methodology. Relevant literature, governance frameworks, policy documents, and digital transformation studies were analyzed through thematic analysis and conceptual synthesis to identify the core dimensions of effective AI governance. The study integrates governance principles, ethical considerations, organizational structures, and technological mechanisms into a comprehensive multi-layered framework. The findings of the study propose a unified AI governance model consisting of interconnected dimensions, including transparency and explainability, accountability mechanisms, data governance and privacy, cybersecurity resilience, interoperability across systems, and adaptive feedback mechanisms. Compared to existing governance models, the proposed framework provides a more integrated and adaptive approach by bridging fragmented governance perspectives into a single coherent structure. In conclusion, the proposed unified AI governance model contributes theoretically to governance and AI ethics literature while providing practical guidance for governments, organizations, and technology developers in implementing responsible, transparent, and sustainable AI governance systems to support adaptive digital transformation.
Digital Transformation Through the Go Digital MSME Application as a Sales and Service Efficiency Solution Erly Krisnanik; Ati Zaidiah; Catur Nugrahaeni Puspita Dewi; Bambang Saras Yulistiawan; Supriyanto
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 10 No. 1 (2026): February 2026
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v10i1.2221

Abstract

Background: MSMEs in Serang Regency face significant barriers to growth, including challenges in digital marketing, inventory management, and product distribution. These operational gaps limit competitiveness and local economic development. This community service initiative addresses these issues by focusing on digital transformation through the implementation of the UMKM Go Digital System (UGODIS). Purpose of the Study: The purpose is to enhance the digital readiness and operational efficiency of MSMEs. The objectives are to improve participants' digital literacy, business management capabilities, and proficiency in online sales processes using the UGODIS platform. Methods: The program employed a learning by doing approach, which included system implementation, hands-on training, ongoing mentoring, and structured evaluation through pre-test and post-test assessments. Results: The activity resulted in significant skill improvements across all measured areas: business planning (+46%), financial management (+71%), digital marketing (+67%), online store creation (+68.5%), and real-time sales monitoring (+66%). The UGODIS system effectively enhanced MSME competitiveness, expanded market access, and contributed to building a sustainable local digital ecosystem.
Co-Authors Catur Nugrahaeni Puspita Dewi Erly Krisnanik Supriyanto Zaidiah, Ati