Articles
<![CDATA[Effectiveness of Prison Sentences in Preventing Narcotics Crimes ]]>
<![CDATA[Nasution, Ingka Harsani]]>;
<![CDATA[Suzuki, Ren]]>;
<![CDATA[Fujita, Miku]]>
<![CDATA[ Rechtsnormen: Journal of Law Vol. 3 No. 1 (2025) ]]>
Publisher : <![CDATA[Yayasan Pendidikan Islam Daarut Thufulah ]]>
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DOI: 10.70177/rjl.v3i1.2091
<![CDATA[Background: Narcotics-related crimes continue to be a significant issue worldwide, with prison sentences often viewed as a primary deterrent. However, there is limited empirical evidence regarding the effectiveness of incarceration in reducing the incidence of narcotics crimes. The question remains whether prison sentences lead to long-term reductions in drug-related offenses or merely function as a short-term punitive measure without addressing underlying issues such as addiction and socio-economic factors. Objective: This study aims to evaluate the effectiveness of prison sentences in preventing narcotics crimes, focusing on recidivism rates and rehabilitation outcomes for offenders. The research investigates whether incarceration contributes to long-term crime prevention or if alternative approaches, such as rehabilitation programs, offer more sustainable results. Method: A mixed-methods approach was employed, combining quantitative data analysis of recidivism rates from convicted drug offenders and qualitative interviews with legal professionals, offenders, and rehabilitation experts. The data collected spans a five-year period and includes case studies from various correctional facilities. Results: The findings indicate that while prison sentences temporarily reduce narcotics crime, they are less effective in preventing recidivism. Rehabilitation programs integrated into the prison system significantly contributed to reducing reoffending rates, particularly when combined with post-release support. Conclusion: Prison sentences alone are insufficient in preventing narcotics crimes. A more comprehensive approach, including rehabilitation and social reintegration efforts, is necessary for long-term success in reducing narcotics-related offenses.]]>
<![CDATA[Applying Augmented Reality for History Lessons in Japan ]]>
<![CDATA[Kobayashi, Riko]]>;
<![CDATA[Sato, Haruka]]>;
<![CDATA[Suzuki, Ren]]>;
<![CDATA[Hussain, Sara]]>;
<![CDATA[Tariq, Usman]]>
<![CDATA[ Journal Emerging Technologies in Education Vol. 3 No. 2 (2025) ]]>
Publisher : <![CDATA[Yayasan Pendidikan Islam Daarut Thufulah ]]>
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DOI: 10.70177/jete.v3i2.2162
<![CDATA[Background. The integration of Augmented Reality (AR) into history education holds the potential to enhance student engagement and comprehension by providing immersive, interactive learning experiences. A mixed-methods approach was adopted, combining pre- and post-tests with interviews and focus groups. The findings suggest that AR can serve as a transformative tool in history education, bridging the gap between abstract content and lived experience.Purpose. This study investigated the effectiveness of AR-enhanced history lessons in Japanese high schools. A total of 200 students aged 15–18 participated in a quasi-experimental study, with one group receiving AR-based instruction and a control group continuing traditional methods. Method. Quantitative results showed a 25% improvement in historical knowledge among AR users versus 5% in the control group (p < 0.001). Qualitative feedback indicated higher engagement, improved retention, and greater enthusiasm toward history learning. Result. The findings indicate a significant increase in student engagement and understanding of historical events, with 85% of students reporting improved retention and a deeper understanding of history. Teachers noted a positive shift in students’ enthusiasm for learning history.Conclud. AR technology enhances history education by providing immersive and interactive learning experiences, leading to greater student engagement and better knowledge retention. ]]>
<![CDATA[Resilience and Personal Development in the Workplace: The Effect of Intervention Programs on Employee Wellbeing ]]>
<![CDATA[Suzuki, Sakura]]>;
<![CDATA[Suzuki, Ren]]>;
<![CDATA[Flores, Josefa]]>
<![CDATA[ Research Psychologie, Orientation et Conseil Vol. 2 No. 1 (2025) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/rpoc.v2i1.1854
<![CDATA[Workplace resilience and personal development are critical factors influencing employee well-being and organizational success. Modern workplaces present numerous challenges, including high stress levels and rapid changes, necessitating effective strategies to enhance resilience and promote personal growth. Intervention programs have emerged as a promising approach to address these challenges, yet their impact on employee well-being requires further empirical investigation. This study examines the effect of workplace intervention programs on employee resilience, personal development, and overall well-being. A mixed-methods design was employed, incorporating both quantitative and qualitative approaches. The study involved 150 employees from diverse industries, divided into intervention and control groups. The intervention group participated in a 10-week program that included resilience training, mindfulness practices, and goal-setting workshops. Data were collected through standardized well-being assessments, resilience scales, and semi-structured interviews. The findings revealed significant improvements in resilience scores and well-being indicators among the intervention group compared to the control group (p < 0.01). Participants reported enhanced emotional regulation, stress management, and self-efficacy. Qualitative insights highlighted increased motivation and a stronger sense of purpose as key outcomes of the program. ]]>
<![CDATA[Quantum Simulation of Complex Molecular Dynamics Using Quantum Annealing ]]>
<![CDATA[Sato, Haruka]]>;
<![CDATA[Suzuki, Ren]]>;
<![CDATA[Fujita, Miku]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 5 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i5.1684
<![CDATA[Quantum simulation of complex molecular dynamics using quantum annealing has great potential to solve complex and complex molecular simulation problems. Quantum annealing, which optimizes the search for solutions in the energy space by utilizing quantum phenomena, offers advantages in speeding up the simulation process compared to classical methods. This study aims to explore the use of quantum annealing in complex molecular simulations, focusing on its effectiveness in finding molecular configurations with minimum energy. The method used involves simulation experiments using quantum annealing hardware and comparing the results with classical simulations. The results show that quantum annealing can improve computational time efficiency and produce more accurate solutions on large molecules with complex interactions. Although there are some limitations of current quantum hardware, the results of this study show the great potential for the use of quantum annealing in molecular dynamics simulations. Further research needs to be focused on improving quantum hardware and developing more advanced algorithms to support more complex molecular simulations.]]>
<![CDATA[Developing a Creative Curriculum to Cultivate Elementary School Students’ Interest in Learning ]]>
<![CDATA[Yamamoto, Sota]]>;
<![CDATA[Tanaka, kaito]]>;
<![CDATA[Suzuki, Ren]]>
<![CDATA[ Journal of Loomingulisus ja Innovatsioon Vol. 1 No. 5 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/innovatsioon.v1i5.1712
<![CDATA[The interest in learning among elementary school students is a critical factor in shaping their academic success and lifelong learning attitudes. However, traditional teaching methods often fail to engage students, leading to a decline in their enthusiasm for learning. This study aims to develop a creative curriculum designed to cultivate elementary school students’ interest in learning by incorporating interactive and student-centered learning activities. The research employs a mixed-methods approach, combining qualitative data from classroom observations and interviews with teachers and students, along with quantitative data from pre- and post-intervention surveys measuring student engagement and interest in learning. The findings suggest that the implementation of a creative curriculum significantly increased students’ interest in learning across various subjects, with noticeable improvements in student participation, curiosity, and motivation. Teachers also reported higher levels of engagement and enthusiasm during lessons. This study concludes that a creative curriculum can effectively enhance students’ interest in learning by fostering a more dynamic, interactive, and personalized learning environment. The implications of this research highlight the importance of adopting innovative teaching strategies to ensure that students develop a lasting interest in their education.]]>
<![CDATA[THE QUBIT PARADOX: WHY MORE QUBITS ACTUALLY LOWER ERROR RATES? ]]>
<![CDATA[Fujita, Miku]]>;
<![CDATA[Suzuki, Ren]]>;
<![CDATA[Nishida, Daiki]]>
<![CDATA[ Journal of Computer Science Advancements Vol. 3 No. 5 (2025) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/jsca.v3i5.3329
<![CDATA[Physical qubits intuitively introduces greater cumulative noise and control complexity. This “Qubit Paradox” presents a fundamental barrier to scalability, suggesting that larger systems might become inherently less stable. This research aims to rigorously validate the threshold theorem, defining the precise boundary where topological protection overcomes physical noise accumulation. We utilized high-fidelity Monte Carlo simulations of Rotated Surface Codes, scaling from distance d=3 to d=9, under realistic circuit-level noise models including leakage and crosstalk. Decoding was executed using the Minimum Weight Perfect Matching (MWPM) algorithm to analyze logical failure rates across 109 error correction cycles. Results identify a critical physical error threshold of approximately 0.57%. Below this value, logical error rates exhibited exponential suppression via power-law decay, reducing by seven orders of magnitude at distance-9. Conversely, systems operating above this threshold demonstrated error amplification with increased scale. We conclude that the paradox resolves only when individual gate fidelity surpasses the threshold, mandating that hardware optimization must precede quantitative scaling. These findings establish a validated roadmap for the transition from the NISQ era to fault-tolerant architecture.]]>
<![CDATA[SOCIALIZATION AND IDENTITY FORMATION: A DEVELOPMENTAL PERSPECTIVE IN THE DIGITAL AGE ]]>
<![CDATA[Tan, Ethan]]>;
<![CDATA[Tan, Marcus]]>;
<![CDATA[Suzuki, Ren]]>
<![CDATA[ Research Psychologie, Orientation et Conseil Vol. 3 No. 1 (2026) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/rpoc.v3i1.3537
<![CDATA[In the digital age, socialization processes and identity formation have become increasingly intertwined with digital platforms and technologies. The digital environment presents new opportunities and challenges in the development of self-concept and social interactions, which have significant implications for various developmental stages. However, there is limited research exploring how digital spaces influence identity formation, especially from a developmental perspective. This study aims to investigate how digital socialization processes impact identity formation across different age groups and developmental stages, focusing on the interaction between online and offline environments. A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews with individuals from diverse age groups. The survey explored the frequency and nature of digital interactions, while the interviews provided in-depth insights into personal experiences with identity formation in digital spaces. The findings reveal that digital platforms significantly influence self-concept and identity development, with younger individuals more likely to engage in self-exploration through digital spaces. Digital socialization plays a critical role in identity formation, particularly in adolescence and early adulthood. Future research should focus on how digital interactions shape identity development over time and across different cultural contexts.]]>
<![CDATA[AGRICULTURAL SUSTAINABILITY UNDER CLIMATE VARIABILITY: COUPLING CROP PHYSIOLOGY WITH PREDICTIVE STATISTICAL MODELS ]]>
<![CDATA[Suzuki, Ren]]>;
<![CDATA[Gonzales, Samantha]]>;
<![CDATA[Harris, Oliver]]>
<![CDATA[ Research of Scientia Naturalis Vol. 3 No. 1 (2026) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/scientia.v3i1.3547
<![CDATA[Agricultural systems are increasingly challenged by climate variability, which disrupts crop productivity and threatens long-term sustainability. Existing approaches often separate physiological understanding from predictive modeling, limiting their ability to capture the complexity of crop responses to environmental stress. This study aims to develop an integrative framework that couples crop physiological processes with predictive statistical models to improve the accuracy and interpretability of agricultural sustainability assessments. A mixed-methods design was employed, combining field-based physiological measurements with advanced statistical and machine learning modeling. Data were collected across multiple agricultural sites, including climatic variables, soil conditions, and key physiological indicators such as photosynthetic rate, stomatal conductance, and water-use efficiency. Predictive models were developed and evaluated using regression analysis and machine learning techniques with cross-validation procedures. Results indicate that models incorporating physiological variables significantly outperform those based solely on climatic data in predicting crop yield. Physiological indicators function as critical mediators between environmental stress and productivity, enhancing both predictive accuracy and explanatory depth. Nonlinear modeling approaches further improve performance by capturing complex interactions among variables. Findings demonstrate that integrating crop physiology with predictive modeling provides a robust framework for understanding and managing agricultural systems under climate variability. This approach supports more adaptive and sustainable agricultural strategies.]]>
<![CDATA[EXPLORING LEADERSHIP STYLES AND EMPLOYEE WELL-BEING: A CROSS-CULTURAL PERSPECTIVE IN MULTINATIONAL CORPORATIONS ]]>
<![CDATA[Rahayu, Puspita Puji]]>;
<![CDATA[Suzuki, Ren]]>;
<![CDATA[Yomamoto, Sota]]>
<![CDATA[ World Psychology Vol. 5 No. 2 (2026) ]]>
Publisher : <![CDATA[Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia. ]]>
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DOI: 10.55849/wp.v5i2.1244
<![CDATA[In multinational corporations (MNCs), leadership styles play a pivotal role in shaping employee well-being, which in turn influences organizational performance. However, the impact of leadership on employee well-being varies significantly across different cultural contexts. This study explores how various leadership styles—transformational, transactional, and laissez-faire—affect employee well-being within MNCs operating in diverse cultural settings. The primary objective is to examine the relationship between leadership styles and employee well-being across four regions: North America, Europe, Asia, and the Middle East. A mixed-methods approach was employed, combining quantitative surveys (300 employees) and qualitative interviews (30 managers) to gather comprehensive data on leadership styles and employee well-being. The results indicate that transformational leadership is positively correlated with high employee well-being, particularly in individualistic cultures, while transactional leadership shows a weaker association with well-being in more collectivist cultures. The study also highlights significant regional differences in leadership perceptions and their impact on employee engagement and job satisfaction. This research underscores the importance of culturally adaptive leadership practices and provides practical implications for MNCs seeking to optimize employee well-being across diverse workforces.]]>
<![CDATA[MOLECULAR SIGNATURES OF ENVIRONMENTAL EXPOSURE: A BIOMOLECULAR APPROACH TO ECOSYSTEM HEALTH ASSESSMENT ]]>
<![CDATA[Hazmi, Muhammad]]>;
<![CDATA[Suzuki, Ren]]>;
<![CDATA[Tan, Jaden]]>;
<![CDATA[Bauer, Tim]]>
<![CDATA[ Research of Scientia Naturalis Vol. 3 No. 1 (2026) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/scientia.v3i1.3469
<![CDATA[Escalating environmental pollution and climate-related stressors necessitate sensitive and mechanistically grounded tools for assessing ecosystem health. Traditional ecological indicators often detect degradation only after substantial biological damage has occurred, limiting early intervention capacity. Molecular signatures derived from multi-omics technologies offer high-resolution insight into sublethal biological responses to environmental exposure. This study aims to identify and validate integrated molecular signatures associated with contaminant gradients and to evaluate their predictive capacity for ecosystem health assessment across aquatic environments. A multi-site cross-sectional design was implemented involving 180 sentinel organisms collected along defined pollution gradients. Transcriptomic, proteomic, and metabolomic profiling was conducted using high-throughput sequencing and mass spectrometry platforms. Multivariate statistical modeling, including principal component analysis and structural equation modeling, was applied to link molecular perturbations with contaminant concentrations and ecological indices. Significant increases in differentially expressed genes, altered protein abundance, and metabolite perturbation indices were observed in high-exposure sites (p < 0.001). Molecular signatures accurately classified exposure categories with 91% predictive accuracy and significantly predicted biodiversity decline (? = –0.68, p < 0.001). Integrated multi-omics molecular signatures provide sensitive, early-warning indicators of ecosystem impairment, enabling mechanistic linkage between environmental exposure and ecological degradation.]]>
