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All Journal Journal of Computer Science Advancements Journal of Moeslim Research Technik Journal of Selvicoltura Asean Research Psychologie, Orientation et Conseil Journal of Tecnologia Quantica Journal of Social Entrepreneurship and Creative Technology Islamic Studies in the World Scientechno: Journal of Science and Technology Lingeduca: Journal of Language and Education Studies Sharia Oikonomia Law Journal Journal Emerging Technologies in Education Rechtsnormen: Journal of Law
Chak Sothy
Dai Viet University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Physics Other

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EFFICIENCY OF WIRELESS CHARGING SYSTEMS IN HIGH-SPEED ELECTRIC VEHICLES Taryana Taryana; Chak Sothy; Ardi Azhar Nampira
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 Ming Kiri; Vicheka Rith; Chak Sothy
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.
CONFLICT AND COOPERATION IN FOREST GOVERNANCE: A CASE STUDY Ravi Dara; Chak Sothy; Vanna Sok
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.
Effectiveness of New Therapeutic Techniques in Addressing Anxiety Disorders in a Clinical Setting Atika Widya Utama; Dara Vann; Chak Sothy
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.
Quantum Neural Network for Medical Image Pattern Recognition Dara Vann; Vicheka Rith; Chak Sothy
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.
PEELING THE WILLOW CHIP GOOGLE’S BREAKTHROUGH IN TAMING QUANTUM ERROR Ravi Dara; Chenda Dara; Chak Sothy
Journal of Computer Science Advancements Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i5.3324

Abstract

The realization of fault-tolerant quantum computing is currently impeded by the stochastic nature of qubit decoherence and the inherent complexity of scaling control systems. This study rigorously evaluates the architectural innovations of Google’s Willow processor, specifically investigating its efficacy in mitigating noise through surface code error correction. The primary objective is to verify the hypothesis of exponential error suppression within a superconducting transmon array, determining if the system can surpass the critical “break-even” point. Methodologically, the research employs a quantitative performance analysis, configuring physical qubits into logical units of varying code distances (d=3 to d=7) and subjecting them to sustained syndrome extraction cycles under millikelvin cryogenic conditions. Results indicate a fundamental departure from previous scaling paradoxes; logical error rates were observed to halve with every increment in code distance, definitively crossing the algorithmic break-even threshold. The data confirms that real-time decoding and optimized tunable coupler designs effectively isolate errors, preventing topological lattice corruption. In conclusion, the Willow chip provides empirical validation that increasing system size now yields higher fidelity, establishing a critical engineering baseline for the development of large-scale, utility-grade quantum computers.
The Influence of Government Policy on the Growth of Technology Startups in Malaysia and Indonesia Dara Vann; Ravi Dara; Chak Sothy
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.
Islamizing Stem: A Curriculum Analysis of Integrating Tawhidic Values into Science Education in Malaysian Secondary Schools Chak Sothy; Teboho Maseko; Ethan Tan
Islamic Studies in the World Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/isw.v2i5.3016

Abstract

Background. The global discourse on STEM education frequently centers on secular, utilitarian objectives. However, in Muslim-majority nations like Malaysia, there is a significant movement towards the “Islamization of Knowledge,” which seeks to integrate theological principles with modern science. This initiative stems from a perceived disconnect between secular scientific pedagogy and the foundational Islamic worldview (Tawhid). This study addresses the gap in understanding how these Tawhidic values are practically embedded within the official Malaysian secondary school science curriculum.. Purpose. This study aims to critically analyze the Malaysian secondary science curriculum (KSSM) to identify, map, and evaluate the extent and method of Tawhidic value integration in STEM subjects. The objective is to determine how the philosophical goal of “Islamizing STEM” is translated into pedagogical content and instructional guides for educators. Method. A qualitative content analysis design was employed. The primary data consisted of official curriculum documents, including syllabi and textbooks for Form 1-5 Physics, Chemistry, and Biology. The analysis utilized a researcher-developed coding framework based on established models of Tawhidic integration in science. This framework was applied to identify explicit, implicit, and omitted instances of value integration. Results. The analysis reveals that Tawhidic integration is present but predominantly implicit and superficial. Integration is largely confined to introductory chapters or “enrichment” sidebars, often as simple Qur’anic verses related to natural phenomena. The core scientific content (e.g., mechanics, evolution, chemical processes) largely remains a discrete, secular domain. A significant gap exists between the curriculum’s stated philosophical aims and its practical, assessable content. Conclusion. While the Malaysian curriculum aspires to Islamize STEM, its current iteration achieves only a marginal integration of Tawhidic values. This creates a “dual-narrative” curriculum, failing to achieve a genuine epistemic synthesis. To be effective, integration must move from peripheral references to a structural embedding within core scientific concepts and pedagogical practices.
INTEGRATING DEEP LEARNING AND CLIMATE MODELLING: PREDICTING REGIONAL BIODIVERSITU LOSS UNDER EXTREME WEATHER SCENARIOS Nofirman Nofirman; Chak Sothy; Ming Kiri
Scientechno: Journal of Science and Technology Vol. 4 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i1.3299

Abstract

Accelerating climate change has intensified the frequency and severity of extreme weather events, posing substantial threats to regional biodiversity. Conventional climate-biodiversity models often struggle to capture non-linear interactions between climatic variables and ecological responses, limiting their predictive accuracy under extreme scenarios. This study aims to integrate deep learning techniques with climate modelling to improve the prediction of regional biodiversity loss under extreme weather conditions. We employed a hybrid modelling framework that combines high-resolution regional climate model outputs with deep learning architectures, specifically convolutional and recurrent neural networks. The model was trained using multi-decadal climate data, species distribution records, and ecological indicators across selected regions. Extreme weather scenarios were simulated based on projected temperature anomalies, precipitation extremes, and drought indices. Model performance was evaluated using cross-validation and comparative benchmarks against traditional statistical models. The integrated deep learning–climate model demonstrated significantly higher predictive accuracy and robustness in identifying biodiversity loss hotspots under extreme weather scenarios. Results reveal pronounced spatial heterogeneity, with ecosystems exposed to compound extremes showing disproportionately higher vulnerability. Integrating deep learning with climate modelling offers a powerful approach for anticipating regional biodiversity loss under extreme climate events, providing valuable insights for adaptive conservation planning and climate-resilient biodiversity management.
THE EFFECT OF PROJECT-BASED LEARNING ON 21ST CENTURY SKILLS IN MIDDLE SCHOOL STUDENTS IN INDONESIA Rashid Rahman; Chak Sothy; Yoga Anjas Pratama; Omar Khan
Lingeduca: Journal of Language and Education Studies Vol. 4 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/lingeduca.v4i1.2125

Abstract

In the context of global educational transformation, the integration of 21st-century skills into learning practices has become imperative, particularly for preparing students to face complex challenges in the modern era. This study investigates the effect of Project-Based Learning (PjBL) on the development of 21st-century skills—critical thinking, collaboration, creativity, and communication—among middle school students in Indonesia. The objective of the research is to determine whether PjBL significantly enhances these competencies compared to conventional instructional methods. A quantitative approach with a quasi-experimental design was employed, involving two groups of Grade 8 students from a public middle school in West Java. The experimental group received instruction through PjBL, while the control group experienced traditional teaching. Data were collected using a 21st-century skills rubric and analyzed using independent sample t-tests. The findings revealed that students exposed to PjBL demonstrated significantly higher performance in all four skill domains. These results underscore the effectiveness of PjBL as a student-centered approach that fosters meaningful learning experiences aligned with real-world contexts. In conclusion, Project-Based Learning has a positive and significant impact on the enhancement of 21st-century skills in middle school students and is recommended for broader implementation in Indonesian education.
Co-Authors Ardi Azhar Nampira Ardi Azhar Nampira Atika Widya Utama Chenda Dara Dara Vann Ethan Tan Hendri Khuan Livia Alves Ming Kiri Nofirman Nofirman Omar Khan Rashid Rahman Ravi Dara Ravi Dara Sokha Dara Teboho Maseko Vanna Sok Vicheka Rith Yenni Novita Wulandari Yoga Anjas Pratama