Dini Eka Prasasti
Universitas Gadjah Mada, Yogyakarta, Indonesia

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Similar but Different: Comparative Seed Policy Implementation for Food Security in Indonesia and Malaysia Dini Eka Prasasti
Advances in Public Law and Policy Vol. 1 No. 1 (2026): January
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/aiplap.v1i1.3917

Abstract

Purpose: This study aims to compare the implementation of high-quality seed and seedling management policies in Indonesia and Malaysia and to understand their role in strengthening national food security. Research Methodology: This study employs a qualitative comparative approach focusing on Indonesia and Malaysia as ASEAN countries with different agricultural governance systems. Data were collected through document analysis of national regulations, policy reports, agricultural plans, and official publications related to seed and seedling management. The analysis applies a policy implementation framework to examine institutional arrangements, distribution systems, and stakeholder involvement, relying solely on secondary data. Results: The findings show clear differences in policy implementation between the two countries. Malaysia has developed an integrated seed management system supported by strong institutions, digital distribution mechanisms, and continuous research and development. This system encourages compliance and effective user behavior among farmers. Indonesia, however, remains at an early implementation stage, facing challenges such as fragmented institutions, limited coordination, and inefficient seed distribution systems. These conditions reduce policy effectiveness and slow progress toward food security goals. Conclusions: The study concludes that institutional coherence, digital governance, and strong research support are critical factors in successful seed policy implementation. Limitations: This study is limited to document-based analysis and does not include field observations or farmer interviews. Contributions: This study contributes to agricultural policy studies, food security research, and comparative public policy by providing insights for policymakers, researchers, and regional institutions in ASEAN.
Data-Driven Analysis of Cyber Threats and Public Policy Responses in Indonesia Eka Septi Nur Jannah; Dini Eka Prasasti; Nada Alfaiza Fisabilazkia
Advances in Public Law and Policy Vol. 1 No. 1 (2026): January
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/aiplap.v1i1.3918

Abstract

Purpose: This study aims to examine cybersecurity vulnerabilities in Indonesia’s digital public service transformation using a data-driven public policy perspective and to generate evidence-based policy recommendations. Research Methodology: This study applies a qualitative data science approach by combining systematic policy review with social media analytics. Public discourse on cybersecurity incidents was collected from Platform X through data scraping and analyzed using Orange software for sentiment analysis, keyword mapping, and temporal visualization to assess public perception and governance-related risks. Results: The analysis reveals a dominance of negative sentiment associated with public distrust, institutional dissatisfaction, and concerns over recurring data leaks. Data patterns indicate three systemic drivers of cybersecurity vulnerability: delayed implementation of derivative regulations under the Personal Data Protection Law, technical fragility and centralized risk exposure within the National Data Center, and uneven digital literacy across the population. The findings demonstrate that cybersecurity failures are not isolated technical incidents but reflect broader governance and policy implementation gaps. Conclusions: This study concludes that Indonesia’s digital transformation agenda is constrained by insufficient data-driven cybersecurity governance. The absence of integrated regulatory, technical, and social interventions weakens the state’s capacity to manage digital risks effectively. Limitations: This study is limited to publicly available social media data and does not include direct institutional or field-level validation. Contributions: This research contributes to data science for public policy by demonstrating how social media analytics can support policy diagnosis, risk assessment, and evidence-based cybersecurity reform in digital government systems.