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The use Problem Based Learning Methods in Science Education Arsyad, Muhammad; Khan, Razia; Sothy, Chak
Journal Neosantara Hybrid Learning Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnhl.v2i3.2072

Abstract

Science education plays a crucial role in developing students' critical thinking and problem-solving skills. However, traditional teaching methods often fail to engage students in meaningful learning experiences. To address this issue, Problem-Based Learning (PBL) has been introduced as an innovative instructional approach that encourages active learning and critical inquiry. This study aims to examine the effectiveness of the PBL method in science education by analyzing its impact on students' learning outcomes and engagement. This research employs a quasi-experimental design with two groups: an experimental group using the PBL method and a control group using conventional methods. Data were collected through pre-test and post-test assessments, student questionnaires, and classroom observations. The study involved secondary school students in a science subject. The findings reveal that students in the PBL group demonstrated higher academic achievement and improved problem-solving abilities compared to those in the control group. Additionally, PBL fosters greater student engagement, motivation, and collaboration during the learning process. In conclusion, the Problem-Based Learning method proves to be an effective strategy in science education, enhancing students' understanding and critical thinking skills. Educators are encouraged to implement PBL in science classrooms to create a more dynamic and interactive learning environment.  
Smart Contracts and their Implications for Conventional Contract Law Khuan, Hendri; Wulandari, Yenni Novita; Sothy, Chak
Rechtsnormen: Journal of Law Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v3i1.2067

Abstract

Background: The rise of blockchain technology has led to the development of smart contracts, which are self-executing contracts with the terms of the agreement directly written into code. While they promise enhanced efficiency, security, and automation, the legal implications of smart contracts on conventional contract law remain largely underexplored. The advent of these digital contracts challenges traditional legal frameworks and calls for a reassessment of existing contract law principles. Objective: This study aims to analyze the implications of smart contracts for conventional contract law, focusing on the legal, ethical, and practical challenges they present. The research seeks to evaluate how smart contracts align with or diverge from traditional contract principles such as offer, acceptance, and enforceability. Method: A qualitative research approach was employed, utilizing a comprehensive literature review and case law analysis to explore the intersection of smart contracts and conventional contract law. Interviews with legal experts and blockchain developers were also conducted to gather insights on real-world applications. Results: The findings reveal that while smart contracts offer substantial benefits in terms of automation and security, they also raise issues related to ambiguity, legal recognition, and the need for updated regulations. The study identifies a gap in existing legal frameworks regarding the enforceability of smart contracts. Conclusion: Smart contracts have significant potential to revolutionize contract law, but their integration into conventional legal systems requires substantial legal reform and adaptation. Further research is needed to establish clear regulatory standards.
Shariah Governance in Islamic Banking: A Study on the Challenges and Best Practices in Indonesia Sothy, Chak; Dara, Ravi; Alves, Livia
Sharia Oikonomia Law Journal Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/solj.v3i1.2078

Abstract

Shariah governance is a cornerstone of Islamic banking, ensuring compliance with Islamic principles and maintaining stakeholder trust. Indonesia, as a leading player in the global Islamic finance industry, faces unique challenges in implementing effective Shariah governance frameworks. This study examines the challenges and best practices in Shariah governance within Indonesia’s Islamic banking sector. The research aims to identify the key challenges in Shariah governance, analyze best practices, and provide recommendations for enhancing the effectiveness of Shariah governance frameworks in Indonesia’s Islamic banking sector. A mixed-methods approach is employed, combining document analysis of regulatory frameworks, case studies of leading Islamic banks, and in-depth interviews with Shariah scholars, regulators, and banking professionals. Data were analyzed using thematic analysis for qualitative insights and comparative analysis for quantitative data. The findings reveal that Indonesia’s Islamic banking sector faces challenges such as regulatory inconsistencies, limited expertise in Shariah governance, and weak enforcement mechanisms. However, best practices such as centralized Shariah boards, transparent reporting, and stakeholder engagement have been identified as effective strategies for enhancing Shariah governance. This study highlights the importance of addressing regulatory gaps, building capacity in Shariah governance, and adopting best practices to strengthen Indonesia’s Islamic banking sector. By improving
Efficiency of Wireless Charging Systems in High-Speed Electric Vehicles Taryana, Taryana; Sothy, Chak; Nampira, Ardi Azhar
Journal of Moeslim Research Technik Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i2.1933

Abstract

The increasing adoption of electric vehicles (EVs) necessitates the development of efficient charging solutions. Wireless power transfer (WPT) technology has emerged as a promising method for enhancing the convenience and efficiency of EV charging. Understanding the efficiency of WPT systems in high-speed charging applications is critical for their widespread implementation. This research aims to evaluate the efficiency of wireless charging systems for high-speed electric vehicles. The study investigates various factors affecting energy transfer efficiency, including alignment, distance, and frequency of operation. An experimental setup was created to test a wireless charging system under controlled conditions. Efficiency measurements were taken at different distances and alignments between the transmitter and receiver coils. Data were analyzed to identify optimal operating conditions and performance metrics. The findings indicated that the wireless charging system achieved an overall efficiency of 85% under ideal conditions. Efficiency decreased with increased distance between the coils, with a notable drop at distances exceeding 20 cm. Optimal alignment was found to enhance energy transfer, significantly improving overall system performance. The study demonstrates that wireless charging systems can be efficient for high-speed electric vehicles, with potential for practical applications in urban environments. These findings highlight the importance of optimizing system design and alignment to maximize efficiency.
Sustainable Forest Management Practices in Tropical Asia: A Review Kiri, Ming; Rith, Vicheka; Sothy, Chak
Journal of Selvicoltura Asean Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v1i4.1662

Abstract

Tropical Asia is home to some of the world's most diverse and ecologically significant forests. However, these forests face immense pressures from deforestation, climate change, and unsustainable logging practices. Sustainable forest management (SFM) has emerged as a vital approach to balance ecological health, economic viability, and social equity in forest use. This review aims to evaluate current sustainable forest management practices in tropical Asia, identifying effective strategies and challenges faced in implementation. The objective is to provide insights into how SFM can enhance forest conservation while supporting local communities. A comprehensive literature review was conducted, analyzing peer-reviewed articles, policy documents, and case studies related to SFM in tropical Asia. Key themes were identified, including community participation, adaptive management, and certification schemes, with a focus on their effectiveness and applicability. The findings indicate that successful SFM practices often incorporate community involvement and traditional ecological knowledge. Certification systems, such as the Forest Stewardship Council (FSC), have proven effective in promoting sustainable practices among local and commercial stakeholders. However, challenges such as inadequate policy frameworks and lack of financial resources hinder broader implementation. This review concludes that sustainable forest management practices in tropical Asia are essential for biodiversity conservation and community resilience. Enhancing stakeholder collaboration and strengthening policy frameworks are crucial for overcoming existing challenges. Future efforts should focus on integrating local knowledge and adaptive management strategies to ensure the long-term sustainability of forest resources.
Effectiveness of New Therapeutic Techniques in Addressing Anxiety Disorders in a Clinical Setting Utama, Atika Widya; Vann, Dara; Sothy, Chak
Research Psychologie, Orientation et Conseil Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i1.1853

Abstract

Anxiety disorders are among the most prevalent mental health conditions worldwide, significantly impacting individuals’ quality of life and daily functioning. Traditional therapeutic techniques have shown varying degrees of effectiveness, necessitating the exploration of innovative approaches to enhance treatment outcomes. This study investigates the effectiveness of new therapeutic techniques in addressing anxiety disorders within a clinical setting. The research aims to evaluate the impact of these techniques, which integrate cognitive-behavioral therapy (CBT) with exposure therapy and mindfulness-based interventions. A mixed-methods design was employed, combining quantitative and qualitative approaches. The study involved 150 participants diagnosed with anxiety disorders, randomly assigned to either an intervention group or a control group receiving standard treatment. Data were collected through standardized anxiety scales, semi-structured interviews, and behavioral assessments. The results indicate significant reductions in anxiety symptoms among the intervention group compared to the control group (p < 0.01). Participants reported improved emotional regulation, reduced avoidance behaviors, and enhanced overall well-being. Qualitative findings supported these outcomes, highlighting increased self-awareness and resilience among participants. The study concludes that the integration of new therapeutic techniques is effective in treating anxiety disorders, providing a viable alternative to conventional methods. These findings underscore the potential for broader implementation in clinical practice.
Quantum Neural Network for Medical Image Pattern Recognition Vann, Dara; Rith, Vicheka; Sothy, Chak
Journal of Tecnologia Quantica Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i4.1679

Abstract

The background of this research focuses on the recognition of medical image patterns for disease detection using artificial intelligence technology. Although Convolutional Neural Networks (CNNs) have been widely used, the models are limited in terms of accuracy and efficiency in processing complex medical images. Quantum Neural Networks (QNNs) are considered as a potential solution to address this problem, by leveraging quantum computing to improve speed and accuracy. The purpose of this study is to explore the application of QNN in the recognition of medical image patterns, as well as to compare its performance with more conventional CNN models. The study used a dataset of medical images from cancer and heart disease, which were divided into training and testing data. QNN and CNN were tested on the same dataset to compare accuracy, speed, and efficiency. The results showed that QNN produced 92% accuracy in breast cancer detection, higher than CNN which only reached 88%. QNN is also more efficient in terms of processing speed, with lower use of computing resources. The conclusion of this study shows that QNN has great potential to be used in the recognition of medical image patterns, with significant advantages in terms of accuracy and efficiency. This research paves the way for the further development of QNN technology in medical applications and disease diagnosis.
The Influence of Government Policy on the Growth of Technology Startups in Malaysia and Indonesia Vann, Dara; Dara, Ravi; Sothy, Chak
Journal of Social Entrepreneurship and Creative Technology Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v1i3.1727

Abstract

The growth of technology startups is crucial to the economic development of emerging economies in Southeast Asia, particularly in Malaysia and Indonesia. Government policies play a significant role in shaping the entrepreneurial landscape by providing the necessary infrastructure, funding opportunities, and regulatory support. Despite the importance of government intervention, there remains a lack of comprehensive studies comparing the impact of government policies on the growth of technology startups in both Malaysia and Indonesia. This study aims to explore the influence of government policies on the development of technology startups in these two countries, examining the differences in approach, implementation, and outcomes. The research utilizes a comparative case study approach, employing both qualitative and quantitative methods. Data were collected through interviews with technology startup founders, government representatives, and industry experts, complemented by a review of secondary data from government reports and startup incubators. The study reveals that government policies in both countries have significantly influenced the growth of technology startups, with Malaysia’s more structured and long-term policy frameworks yielding better results in fostering innovation and scalability. On the other hand, Indonesia’s policies, while supportive, face challenges related to bureaucracy and inconsistent implementation. In conclusion, the research highlights the critical role of government policies in enabling the growth of technology startups. While Malaysia has been more successful in creating a conducive environment for innovation, Indonesia's startup ecosystem requires further policy refinement and consistent enforcement to accelerate growth. These findings offer valuable insights for policymakers and entrepreneurs seeking to enhance the startup ecosystem in Southeast Asia.
CONFLICT AND COOPERATION IN FOREST GOVERNANCE: A CASE STUDY Dara, Ravi; Sothy, Chak; Sok, Vanna
Journal of Selvicoltura Asean Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i2.2030

Abstract

Forest governance is a complex domain where conflict and cooperation often intersect, shaping the management and sustainability of forest resources. This research investigates the dynamics of conflict and cooperation in forest governance, exploring the interplay between stakeholders at various levels of decision-making. The study examines a specific case to understand the underlying factors that foster both collaboration and conflict within the governance framework. The aim of this study is to analyze the key factors contributing to both conflict and cooperation among stakeholders involved in forest governance and to assess the impacts of these interactions on the management of forest resources. By focusing on a case study, the research identifies critical patterns of behavior and decision-making processes. This research adopts a qualitative approach, utilizing in-depth interviews, field observations, and document analysis to gather comprehensive data. Stakeholders including local communities, government agencies, and environmental organizations were engaged to provide diverse perspectives on the governance processes. The findings indicate that while conflict often arises due to competing interests, cooperation is significantly enhanced through transparent communication, shared goals, and the active participation of all stakeholders. The case study reveals that collaborative efforts can lead to more sustainable forest management practices, but only when conflicts are effectively managed and resolved. In conclusion, forest governance requires a balanced approach that promotes cooperation while addressing conflicts. Effective strategies for conflict resolution and stakeholder engagement are essential for the sustainable management of forest resources.