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Journal : Data : Journal of Information Systems and Management

Digital Risks in Emerging Economies: Cyber Threat Escalation in Indonesia (2020–2023) Rinaldo; Puspitasari, Devi
Data : Journal of Information Systems and Management Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i3.697

Abstract

Indonesia's rapid digital transformation over the past decade has brought with it a surge in cyber threats, posing significant risks to national security, economic resilience, and public trust. This study investigates the escalation of cyber incidents between 2020 and 2023, analyzing their trends, regulatory responses, and systemic vulnerabilities. Utilizing secondary data from national agencies and international platforms, the research employs both quantitative and qualitative methods to assess incident volumes and policy effectiveness. The results reveal a sharp rise in cyber incidents, from 88 million in 2020 to over 1.65 billion in 2021, driven largely by phishing, ransomware, and malware campaigns. Although regulatory frameworks such as BSSN Regulation No. 8/2020 and Presidential Regulations 82/2022 and 47/2023 represent important steps, enforcement remains weak, and sectoral coordination is limited. Investment in cybersecurity is critically low, averaging only 0.02% of GDP, while SMEs remain particularly vulnerable due to limited resources and awareness. Discussion of these findings highlights systemic barriers such as institutional fragmentation, insufficient technical capacity, and underdeveloped cybersecurity culture. The study emphasizes the importance of inter-agency collaboration, adaptive regulatory frameworks, and increased investment to build national resilience. Comparative insights from global best practices suggest that integrating stakeholder feedback and promoting continuous learning can significantly enhance threat response and governance outcomes. In conclusion, Indonesia's cybersecurity landscape requires urgent strategic realignment. A well-funded, coordinated, and flexible national cybersecurity framework is essential to protect the nation's digital infrastructure and foster sustainable digital development
The Strategic Role of Information Systems in Advancing Sustainable Business Practices Puspitasari, Devi
Data : Journal of Information Systems and Management Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i3.722

Abstract

Information systems are increasingly recognized as enablers of sustainable business practices. However, the extent of their impact across environmental, social, and governance (ESG) dimensions remains limited in current scholarship, particularly regarding mechanisms of influence. This narrative review investigates how information systems contribute to sustainability by enhancing operational efficiency, informing strategic decisions, and overcoming implementation challenges. Drawing from Scopus and Google Scholar, a systematic search was conducted using Boolean keyword combinations such as "Information Systems" AND "Sustainable Business Practices" and "Digital Transformation" AND "Sustainable Development." Studies meeting inclusion criteria—focused on the integration of IT in sustainability efforts—were synthesized thematically. The findings indicate that information systems significantly improve energy efficiency, reduce waste, and support environmental accounting. They enable real-time monitoring, predictive analytics, and decision-making frameworks grounded in ESG principles. Big data and cloud platforms are shown to facilitate cross-functional collaboration and innovation. However, implementation is often hindered by infrastructural limitations, high costs, and resistance to change, especially in developing regions. The role of regulatory support and organizational culture emerged as critical systemic enablers. Comparative insights between countries highlighted best practices that can be adapted to local contexts. This review concludes that information systems are not merely tools but strategic assets for sustainability. Policy incentives, capacity-building, and inclusive digital infrastructure are recommended to bridge implementation gaps. Future research should explore the integration of emerging technologies for enhanced impact. Promoting awareness and access remains essential to scaling sustainable practices globally.
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.