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All Journal Data : Journal of Information Systems and Management Digitus : Journal of Computer Science Applications Novatio : Journal of Management Technology and Innovation
Yuni T, Veronika
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Computer Science & IT Decision Sciences, Operations Research & Management

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Operationalizing Responsible AI in Health Systems: Delphi Based Governance Metrics for Indonesia Puspitasari, Devi; Yuni T, Veronika
Data : Journal of Information Systems and Management Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v3i4.910

Abstract

Artificial intelligence (AI) is rapidly transforming healthcare delivery in Indonesia. However, the responsible governance of AI systems especially in clinical settings remains underdeveloped. This study aims to identify and prioritize measurable governance indicators for AI in Indonesian healthcare through a Delphi based expert consensus process. A three round modified Delphi method was employed, engaging 30 interdisciplinary experts from healthcare, IT, cybersecurity, ethics, law, and patient advocacy. The process began with 40 indicators drawn from global frameworks (WHO, EU AI Act, ISO/IEC 42001, NIST RMF) and national references (UU PDP, SATUSEHAT). Experts rated each indicator on a 1–9 Likert scale across two iterative rounds. Consensus was defined as median ≥7 and IQR ≤1.5 using RAND/UCLA criteria.Out of 40 indicators, 24 achieved consensus. High priority indicators included clinical safety metrics (e.g., AUROC), data privacy compliance (PDP Law documentation), system integration (SATUSEHAT compatibility), and cybersecurity readiness (incident response plans). Transparency related indicators (e.g., training data summaries, model cards) failed to reach consensus, suggesting institutional gaps in AI explainability. The Delphi process underscored the importance of participatory governance, stakeholder trust, and contextual adaptation of international standards. Consensus indicators reflect domains where operational familiarity and regulatory anchors already exist, while non consensus areas highlight the need for capacity building and clearer guidelines. This study delivers a validated, measurable governance framework to guide responsible AI adoption in Indonesian healthcare. It supports policymaking, institutional audits, and procurement strategies aligned with both local regulation and global standards. Future work should pilot these indicators and expand their use in health system assessments and continuous governance improvement.
Balancing Cadence and Flow: Evaluating Agile Frameworks for Optimal Software Delivery Outcomes Yuni T, Veronika
Digitus : Journal of Computer Science Applications Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i2.950

Abstract

This study compares the impacts of Scrum and Kanban on software quality, team sustainability, and project predictability within Agile project management. As Agile adoption expands across industries, organizations face the challenge of selecting methods that fit their operational needs and team dynamics. By drawing on empirical case studies and literature, this research highlights the practical differences between Scrum’s cadence-based framework and Kanban’s flow-based model. A comparative analysis was conducted using data from major implementations (e.g., Adobe, John Deere, BBC Worldwide), supported by Agile maturity studies and academic evaluations. Metrics examined include defect reduction, cycle time, velocity stability, lead time, and team stress levels. Scrum demonstrated strong outcomes in early-stage quality improvement and structured delivery. Kanban, in contrast, offered stronger long-term flow consistency and fewer customer-reported defects. Furthermore, hybrid approaches such as Scrumban emerged as practical alternatives that balance predictability with adaptability. Results indicate that both frameworks yield significant benefits when implemented with high team autonomy and cultural alignment. While Scrum enhances predictability through time boxed sprints, Kanban facilitates flexibility and continuous delivery. The study highlights the critical role of implementation quality and Agile maturity in determining success. In conclusion, method choice should reflect organizational context, with growing support for hybrid adoption. This research provides actionable insights for Agile teams and decision makers seeking to align methodology with project goals, workforce dynamics, and customer expectations.
Decentralized Identity in FinTech: Blockchain Based Solutions for Fraud Prevention and Regulatory Compliance Yuni T, Veronika; Soderi, Ahmad
Digitus : Journal of Computer Science Applications Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i3.955

Abstract

The FinTech sector is facing escalating threats from identity theft and digital fraud, with global losses exceeding US$42 billion annually. This study explores how blockchain based identity systems particularly Verifiable Credentials (VC), Decentralized Identifiers (DID), and selective disclosure protocols can enhance digital security, reduce onboarding time, and ensure compliance with evolving global standards. A qualitative and comparative methodology was applied, analyzing data from regulatory bodies (FTC, FATF, NIST), industry case studies, and technical frameworks (OpenID4VC, SD JWT, W3C). Results reveal that blockchain identity solutions reduce fraud risk by preventing synthetic identity use, while significantly improving authentication success rates through biometric and passkey based logins. Reusable KYC models integrated with VC/DID frameworks cut onboarding durations from weeks to days, demonstrating substantial operational efficiency. Furthermore, alignment with GDPR, eIDAS 2.0, and AML/CFT standards confirms the regulatory readiness of these systems. The findings suggest that decentralized identity offers a viable, scalable alternative to traditional identity verification, enabling secure, privacy preserving, and user controlled authentication. Despite challenges such as integration complexity and regulatory fragmentation, the strategic advantages in security and compliance position blockchain identity systems as essential tools for the future of FinTech.
Smart Farming Technologies for Global Food Security: A Review of Robotics and Automation Yuni T, Veronika; Saromah; Gunawan, Budi
Digitus : Journal of Computer Science Applications Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i4.1076

Abstract

This narrative review explores the role of robotics and automation in precision agriculture, particularly in addressing global challenges such as food security, labor shortages, and environmental sustainability. A systematic literature search was conducted using Scopus, Web of Science, and other supplementary databases, focusing on studies from 2015 to 2025. Findings show that AI-based models and UAV monitoring can enhance crop yield by up to 20% and reduce water and fertilizer use by 30%. Smart irrigation, soft robotics, and autonomous systems also demonstrate effectiveness in specific applications like pruning, weeding, and aquaponics. Despite promising outcomes, adoption varies due to financial, infrastructural, and governance barriers, especially in developing regions. The review concludes that integrating robotics with AI, IoT, and UAVs has transformative potential for agriculture. Future research should prioritize system interoperability, dataset quality, and environmental impact assessments to support widespread, equitable implementation.
Building Resilient Start-up Ecosystems in the Digital Era: A Narrative Review Slamet, Asep Gunawan; Achaddiah, Bella Noer; Yuni T, Veronika
Novatio : Journal of Management Technology and Innovation Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v2i3.1003

Abstract

This narrative review explores the critical factors influencing the growth and resilience of technology-driven start-ups in the digital era. Literature was systematically collected from Scopus, Web of Science, and Google Scholar, covering peer-reviewed studies from 2010 to 2025. Thematic analysis and bibliometric mapping were employed to synthesize findings across diverse contexts. Results show that funding access, supportive regulation, and strong networks remain fundamental pillars for entrepreneurial success. Entrepreneurship education that integrates digital competencies and experiential learning strengthens entrepreneurial capacity, while digital technologies such as artificial intelligence, the Internet of Things, and blockchain underpin disruptive business models that enhance competitiveness. However, persistent barriers exist, including gender inequality in access to resources and technostress among founders, underscoring the need for inclusivity and well-being support. Comparative analysis reveals that advanced economies benefit from robust infrastructure and funding mechanisms, while developing regions, despite resource constraints, demonstrate adaptive localized innovations. The review highlights the importance of coordinated policy, education, and practice in creating equitable and resilient ecosystems. Strengthening financial access, regulatory clarity, digital infrastructure, gender inclusivity, and well-being initiatives emerges as a strategic priority for fostering sustainable technology-driven entrepreneurship.
Co-Authors Achaddiah, Bella Noer Budi Gunawan Devi puspitasari, Devi Saromah Slamet, Asep Gunawan Soderi, Ahmad