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The Role of Protected Areas in Conserving Tropical Forests: A Review Sara Hussain; Kiran Iqbal; Ahmed Shah
Journal of Selvicoltura Asean Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v1i5.1669

Abstract

Protected areas are critical for the conservation of tropical forests, which are among the most biodiverse ecosystems on the planet. These areas play a vital role in safeguarding wildlife, preserving ecological processes, and mitigating the impacts of climate change. However, the effectiveness of protected areas in achieving these conservation goals varies significantly. This review aims to assess the role of protected areas in conserving tropical forests by analyzing their effectiveness, management practices, and socio-economic impacts. The study seeks to identify best practices and challenges faced in the management of these areas. A comprehensive literature review was conducted, synthesizing findings from peer-reviewed articles, government reports, and case studies related to protected areas in tropical forest regions worldwide. Key metrics such as biodiversity outcomes, habitat preservation, and community engagement were evaluated. The findings indicate that well-managed protected areas significantly contribute to biodiversity conservation and forest preservation. However, challenges such as illegal logging, encroachment, and insufficient funding hinder their effectiveness. Successful case studies highlight the importance of community involvement and adaptive management strategies in enhancing conservation outcomes. The study concludes that protected areas are essential for conserving tropical forests, but their effectiveness is contingent upon effective management and stakeholder engagement. Strengthening governance frameworks and increasing funding for these areas are crucial for ensuring their long-term success in biodiversity conservation.  
THE ROLE OF CERTIFICATION IN PROMOTING SUSTAINABLE FOREST MANAGEMENT Kiran Iqbal; Fatima Malik; Ahmed Shah
Journal of Selvicoltura Asean Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i3.2035

Abstract

The increasing global demand for timber and forest products has raised concerns about unsustainable forest practices, resulting in deforestation, biodiversity loss, and ecosystem degradation. Certification programs, such as FSC (Forest Stewardship Council) and PEFC (Programme for the Endorsement of Forest Certification), have emerged as tools to promote sustainable forest management (SFM). These certifications aim to ensure that forests are managed in an environmentally responsible, socially beneficial, and economically viable manner. However, the effectiveness of certification in achieving these goals remains a topic of ongoing debate. This research aims to evaluate the role of forest certification programs in promoting sustainable forest management. Specifically, it investigates the impact of certification on forest practices, local communities, and the broader forest industry. A mixed-methods approach was adopted, combining qualitative interviews with forest managers, certification bodies, and local stakeholders, alongside quantitative analysis of forest management data in certified versus non-certified forests. Data were collected from various regions, including Southeast Asia, North America, and Europe. The findings reveal that certification programs positively influence forest management practices, leading to improved biodiversity conservation, better forest regeneration, and increased stakeholder engagement. However, challenges such as high certification costs, lack of awareness, and insufficient enforcement were identified as barriers to achieving full potential. Certification programs play a significant role in promoting sustainable forest management, though further efforts are needed to address barriers and enhance the inclusivity and effectiveness of these programs.
Development of Hybrid Quantum Algorithm for Investment Portfolio Optimization Fatima Malik; Kiran Iqbal; Zainab Ali
Journal of Tecnologia Quantica Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i5.1686

Abstract

The background of this research focuses on the challenges of investment portfolio optimization, which often requires long computing time and high complexity, especially with many assets that must be analyzed. The use of quantum algorithms for investment optimization promises a faster and more efficient solution. The purpose of this study is to develop a hybrid quantum algorithm that can combine quantum and classical computing methods to improve portfolio optimization performance. The research method used is an experiment by testing a combination of quantum algorithms (such as variational quantum eigensolver, VQE) and classical algorithms to solve portfolio optimization problems using historical market data. The results show that the hybrid quantum algorithm successfully reduces computational time and improves accuracy in choosing the optimal asset combination, by minimizing risk and maximizing portfolio returns. The conclusion of this study is that the hybrid approach has great potential in overcoming the limitations that exist in pure quantum algorithms and can be effectively applied in investment portfolio optimization. Further research is needed to test these algorithms on a larger scale and with more dynamic market data.
Virtual Reality in Creative Education: An Experimental Study on Engagement and Concept Mastery Najwa Syarofa; Ali Khan; Kiran Iqbal
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i3.2359

Abstract

The integration of immersive technologies into educational settings has introduced new possibilities for enhancing creativity, engagement, and understanding of abstract concepts. Virtual Reality (VR), as one of the most advanced digital tools, offers interactive three-dimensional environments that can transform traditional teaching approaches. This study aims to examine the effects of VR-based learning on student engagement and concept mastery within creative education courses. An experimental research design was implemented with 80 undergraduate students randomly assigned to an experimental group using VR applications and a control group using conventional multimedia. The intervention focused on design-thinking modules over a six-week period. Data were collected using engagement observation checklists, concept mastery tests, and post-intervention questionnaires, and analyzed through descriptive and inferential statistics. Results revealed that the experimental group demonstrated significantly higher engagement levels and achieved better scores in conceptual understanding than the control group. Students reported that VR facilitated exploration, provided a more stimulating learning environment, and encouraged active participation in problem-solving activities.  
Quantum Computing and Its Implications for Complex System Analysis Kiran Iqbal; Omar Ahmad; Arnes Yuli Vandika
Research of Scientia Naturalis Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i5.1579

Abstract

Quantum computing has emerged as a transformative technology capable of solving complex problems beyond the reach of classical computing. Its unique properties, such as superposition and entanglement, enable efficient processing of vast datasets, making it especially valuable for analyzing complex systems. This research aims to explore the implications of quantum computing for complex system analysis, particularly in fields such as physics, biology, and finance. The goal is to identify how quantum algorithms can enhance the understanding and modeling of intricate systems. A systematic literature review was conducted, examining recent advancements in quantum algorithms and their applications to complex system analysis. Comparative analyses were performed between classical and quantum computing approaches, focusing on specific case studies to illustrate the advantages of quantum solutions. The findings indicate that quantum computing significantly accelerates certain computations, leading to improved accuracy and efficiency in modeling complex systems. Case studies in quantum simulations of molecular interactions and financial modeling demonstrate substantial performance gains over classical methods. Quantum computing holds great promise for advancing the analysis of complex systems across various disciplines. Continued research and development in this area are essential to fully harness the capabilities of quantum technologies, ultimately leading to breakthroughs in understanding and solving complex problems.