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All Journal Jurnal Teknik Informatika C.I.T. Medicom Jurnal Ilmu Pendidikan dan Humaniora Law and Economics
Simbolon, Romasinta
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Analyzing Police Communication Strategies for Preventing Teenage Drug Abuse in Simpang Kanan Subdistrict, Rokan Hilir Regency Jollyta, Jollyta; Denny, Denny; Simbolon, Romasinta; Panjaitan, Firta Sari
Law and Economics Vol. 16 No. 2 (2022): June: Law and Economics
Publisher : Institute for Law and Economics Studies

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/laweco.v16i2.56

Abstract

This research delves into the efficacy of police communication strategies in combating drug abuse among teenagers in Simpang Kanan Subdistrict, situated within the Rokan Hilir Regency of Indonesia. Utilizing a mixed-methods approach, the study navigates the intricate interplay of cultural dynamics, community engagement, and the effectiveness of varied communication channels employed by law enforcement agencies. Quantitative analysis unveils statistical trends in drug abuse prevalence among teenagers, shedding light on the impact of specific communication strategies. Concurrently, qualitative exploration delves into perceptions, experiences, and stakeholder feedback, offering depth to the understanding of the multifaceted issue. Findings underscore the strengths of community engagement initiatives and diverse communication channels, showcasing heightened awareness and positive behavioral shifts among teenagers. Yet, limitations such as data constraints, sampling intricacies, and resource limitations temper the comprehensiveness of the analysis. The implications drawn from this research advocate for tailored, culturally sensitive approaches, community-driven interventions, and continuous evaluation mechanisms in future policy changes. These insights transcend regional boundaries, offering a framework adaptable to analogous contexts worldwide. This research serves as a beacon, illuminating pathways toward combating teenage drug abuse.
Unlocking Economic Growth in Dairi Regency through Tourism and Culture Pinere , Rony; Simbolon, Romasinta; Monteiro, Juliana Maya
Jurnal Ilmu Pendidikan dan Humaniora Vol. 11 No. 1 (2022): Jan: Education and Humanities
Publisher : Insan Akademika Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jiph.v11i1.15

Abstract

Dairi Regency, a region nestled in the natural splendor of North Sumatra, holds the promise of becoming an economic hub, fueled by the strategic development of tourism and culture. This research explores the multifaceted strategies necessary to enhance Original Regional Income by leveraging the wealth of cultural heritage and the allure of natural beauty. Cultural preservation and promotion emerge as key drivers of this transformation, recognizing the value of the unique Batak culture in attracting tourists seeking authentic experiences. Infrastructure development is an essential foundation, as improved connectivity and accommodations facilitate access to Dairi Regency's cultural and natural treasures, fostering tourism and economic growth. The path to a more inclusive and sustainable future is illuminated by community-based tourism (CBT). Engaging local communities in tourism activities and decision-making processes ensures equitable distribution of tourism benefits and enhances the region's authenticity. Diversification of tourism products broadens the audience, welcoming travelers with diverse preferences. The research outlines a structured planning approach, guided by SWOT analysis, enabling adaptive strategies that align with changing circumstances. Balanced spatial development, driven by GIS analysis insights, ensures economic prosperity is distributed evenly across the region. Sustainability and responsible tourism practices underline the importance of ethical and environmentally conscious tourism, contributing to long-term success. Collaboration between the community and government agencies strengthens the region's commitment to collective ownership of economic development. Transparent measurement of economic impact fosters trust and engagement. This research not only unveils the untapped potential of Dairi Regency but also presents a comprehensive roadmap for realizing this potential. It provides insights and strategies for the Tourism and Culture Department, local authorities, and stakeholders to shape a sustainable, inclusive, and culturally rich economic future for the region.
A Unified Theoretical-Practical Framework for Explainable Machine Learning in Critical Public Sector Applications Sihotang, Hengki Tamando; Simbolon, Romasinta
Jurnal Teknik Informatika C.I.T Medicom Vol 16 No 4 (2024): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The rapid adoption of machine learning (ML) in the public sector has increased the need for transparent, accountable, and trustworthy algorithmic decision-making, particularly in high-stakes domains such as social welfare, healthcare, security, and public administration. However, existing approaches to explainable machine learning (XML) remain fragmented, focusing primarily on technical explanation techniques without integrating the institutional, ethical, and user-centered requirements of government environments. This research aims to develop a unified theoretical practical framework that operationalizes explainability across the entire ML lifecycle for critical public-sector applications. This study adopts a qualitative, multi-stage research design that combines theoretical synthesis, framework construction, and empirical validation through expert assessment and case-based evaluation.The results demonstrate that explainability is a multidimensional construct that extends beyond algorithmic transparency to include contextual risk assessment, adaptive explanation delivery, and governance mechanisms such as auditability, human oversight, and documentation standards. The proposed framework integrates four interconnected layers context analysis, model design and transparency, explanation delivery, and oversight and governance providing a structured pathway for implementing explainable ML systems that meet public-sector standards of fairness, legitimacy, and accountability. Expert feedback and case evaluations confirm that the framework enhances interpretability, reduces misinterpretation risks, and supports more informed decision-making among stakeholders. This research contributes to the advancement of responsible AI in government by offering a comprehensive model that bridges technical methods with policy and practice, paving the way for more transparent and trustworthy ML adoption in public-sector services.
Co-Authors Denny Denny Hengki Tamando Sihotang Jollyta, Jollyta Monteiro, Juliana Maya Panjaitan, Firta Sari Pinere , Rony