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All Journal Journal of Computer Science Advancements Journal of Selvicoltura Asean Research Psychologie, Orientation et Conseil Journal of Tecnologia Quantica Journal of Social Entrepreneurship and Creative Technology Journal of Humanities Research Sustainability
Safiullah Aziz
Herat University
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Physics Other

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 1 
Illegal Logging and Its Impact on Forest Ecosystems in Southeast Asia Safiullah Aziz; Shazia Akhtar; Rafiullah Amin
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.v1i4.1664

Abstract

Illegal logging poses a significant threat to forest ecosystems in Southeast Asia, compromising biodiversity, disrupting ecological balance, and undermining sustainable development efforts. The region's rich biodiversity and vital ecosystem services are increasingly jeopardized by unregulated logging practices, necessitating a thorough investigation of its impacts. This research aims to assess the extent of illegal logging in Southeast Asia and its effects on forest ecosystems. The study seeks to identify key drivers of illegal logging and analyze its implications for biodiversity and local communities. A mixed-methods approach was employed, combining quantitative data from satellite imagery and forest cover assessments with qualitative interviews of stakeholders, including local communities, government officials, and NGO representatives. Case studies from Indonesia, Malaysia, and Thailand were analyzed to provide insights into the dynamics of illegal logging. Findings reveal that illegal logging significantly contributes to deforestation and habitat loss, leading to declines in species populations and disruptions in ecosystem functions. Local communities reported negative impacts on their livelihoods and increased conflicts with wildlife as a result of habitat degradation. The study concludes that addressing illegal logging is crucial for the conservation of forest ecosystems in Southeast Asia. Effective governance, community engagement, and sustainable forest management practices are essential to combat illegal activities and protect biodiversity. Collaborative efforts among stakeholders will be vital for creating resilient forest ecosystems in the region.
The Impact of Prosocial Behavior on Well-being and Life Satisfaction Safiullah Aziz; Razia Khan; Ethan Tan; Zahrotul Uyun
Research Psychologie, Orientation et Conseil Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i3.2377

Abstract

Prosocial behavior voluntary actions intended to benefit others is a cornerstone of functional societies. While its benefits for the recipient are clear, a growing body of research in positive psychology suggests that engaging in altruistic acts may also be a powerful and often overlooked pathway to enhancing the actor’s own psychological well-being and overall life satisfaction. This study aimed to empirically investigate the relationship between the frequency of engaging in prosocial behavior and self-reported levels of psychological well-being and life satisfaction in a diverse adult population, and to determine if this relationship holds after controlling for key demographic variables. A cross-sectional survey design was employed with a sample of 450 adults (aged 25-65). Participants completed a battery of validated instruments, including the Prosocialness Scale, the PERMA Well-being Profiler, and the Satisfaction with Life Scale (SWLS). A strong, positive correlation was found between prosocial behavior and both well-being (r = .51, p < .001) and life satisfaction (r = .48, p < .001). The regression analysis revealed that prosocial behavior remained a significant and unique predictor of both outcomes even after controlling for all demographic variables. It accounted for a substantial portion of the variance in both well-being and life satisfaction scores. Engaging in prosocial behavior is a robust and significant predictor of higher psychological well-being and greater life satisfaction. The findings suggest that altruistic actions are not merely a consequence of happiness but are an active ingredient in creating a fulfilling life.
Topological Quantum Computing: Challenges and Potential Loso Judijanto; Safiullah Aziz; Omar Khan
Journal of Tecnologia Quantica Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i3.1960

Abstract

Quantum computing offers great potential for a technological revolution, but challenges related to the stability and resilience of computing systems remain a major obstacle. Topological Quantum Computing (TQC) emerged as one of the solutions to overcome this problem. This study aims to analyze the challenges and potential of TQC in the development of quantum computing that is more stable and resistant to external disturbances. The method used in this study is a literature study by analyzing secondary data from various experiments conducted by leading research institutions. The results show that TQC has the potential to improve the reliability of quantum computing, especially in reducing the error rate that often occurs in conventional quantum systems. Nonetheless, the main challenges faced are the greater scalability and integration issues of the system. The study concludes that despite the promise of TQC, the development of this technology still requires further research to overcome existing technical constraints. The future research direction needs to be focused on the development of topological qubits on a large scale and more efficient integration for practical applications.
Unsupervised Classification of Topological Phase Transitions in Many-Body Quantum Systems Using Variational Quantum Eigensolvers Safiullah Aziz; Amir Raza; Ton Kiat
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.3197

Abstract

The study of topological phase transitions in many-body quantum systems has gained significant attention due to its implications for quantum computing and condensed matter physics. Traditional methods of classifying topological phases often rely on computationally expensive techniques or labeled data, which can be impractical for large systems. This research aims to develop a novel, scalable approach for unsupervised classification of topological phase transitions using Variational Quantum Eigensolvers (VQEs) in conjunction with unsupervised machine learning algorithms. The objective is to efficiently classify quantum phases without requiring pre-labeled data, offering a more efficient solution for studying large, interacting quantum systems. The methodology involves simulating quantum systems, including a 1D spin chain and a 2D topological insulator, and optimizing their ground states using VQEs. Key quantum features, such as energy spectra and correlation functions, are extracted and fed into clustering algorithms to identify different topological phases. The performance of the unsupervised learning algorithm is evaluated through clustering purity and accuracy metrics. The results demonstrate that the proposed method successfully identifies trivial and non-trivial phases with high accuracy (95% for the 1D spin chain and 92% for the 2D topological insulator).  
BEYOND THE PERIMETER: ASSESSING THE IMPACT OF ZERO TRUST ARCHITECTURE ON NETWORK LATENCY AND SECURITY RESILIENCE IN LARGE-SCALE ENTERPRISE ENVIRONMENTS Hadi Mardiyanto; Zainal Syahlan; Isnadi Isnadi; Safiullah Aziz
Journal of Computer Science Advancements Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i2.3859

Abstract

Enterprise networks increasingly confront sophisticated cyber threats and complex operational demands, rendering traditional perimeter-based security models inadequate. Zero Trust Architecture (ZTA) has emerged as a paradigm that emphasizes continuous verification, granular access control, and micro-segmentation to enhance security resilience across hybrid and large-scale environments. This study investigates the dual impact of ZTA on network latency and security outcomes, providing empirical insights into performance-security trade-offs.The research aims to evaluate how ZTA implementation affects network latency, throughput, and packet integrity while quantifying improvements in security resilience, including reductions in unauthorized access and lateral threat propagation. Insights from this study are intended to inform enterprise decision-making regarding optimized ZTA deployment. A mixed-methods approach was employed, combining quantitative measurements of latency, throughput, and packet loss across six enterprise networks with qualitative security assessments, including penetration testing and attack simulations. Data were analyzed using statistical techniques and thematic evaluation to identify patterns and interdependencies. Findings indicate that ZTA increases network latency moderately (3–7 ms) and reduces throughput minimally, while significantly enhancing security resilience, with a 70–85% reduction in successful unauthorized access attempts. Correlation analysis reveals a positive trade-off between performance impact and security improvements, emphasizing the importance of configuration optimization. Results confirm that ZTA provides robust protection without critically impairing network performance, offering practical guidance for large-scale enterprise adoption and informing future security-policy strategies.
ENTREPRENEURIAL RESILIENCE: CASE STUDIES OF FAILED AND SUCCESSFUL STARTUPS Nuraiman Nuraiman; Rafiullah Amin; Safiullah Aziz
Journal of Social Entrepreneurship and Creative Technology Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v2i2.2045

Abstract

Entrepreneurial resilience plays a critical role in determining the success or failure of startups, especially in highly volatile and competitive environments. While many studies have focused on the factors leading to startup success, less attention has been paid to how entrepreneurs recover from failure and the key traits that contribute to their resilience. Understanding these dynamics is essential for aspiring entrepreneurs and stakeholders in the startup ecosystem. This research aims to explore the concept of entrepreneurial resilience by analyzing case studies of both failed and successful startups. The study seeks to identify the factors that contribute to entrepreneurial resilience and how these factors influence the ability to recover from failure or sustain success. A qualitative case study approach was employed, focusing on 10 startup companies—5 that failed and 5 that succeeded. Data were collected through in-depth interviews with founders and key stakeholders, as well as secondary sources such as company reports and news articles. Thematic analysis was used to identify recurring patterns and key themes. The study found that successful entrepreneurs exhibited high levels of emotional intelligence, adaptability, and a strong support network. In contrast, failed startups often struggled with a lack of strategic foresight, poor decision-making, and inadequate resource management. Resilience factors, including mindset, leadership, and external support, were crucial in navigating both failure and success.
The Anthropology of Plastic Waste: A Study of Community Adaptation and Resistance to Marine Pollution in a North Javanese Coastal Village Roya Zahir; Safiullah Aziz; Zara Ali; Restu Auliani
Journal of Humanities Research Sustainability Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v2i6.2787

Abstract

Background. Plastic pollution has become a defining environmental challenge for coastal communities in Southeast Asia, particularly in North Java, where rapid urbanization, industrial activities, and waste mismanagement exacerbate marine degradation. Local communities are not merely passive victims of this ecological crisis; they actively navigate, reinterpret, and resist the social and environmental impacts of plastic waste. Purpose. This study aims to investigate how a North Javanese coastal village adapts to and challenges marine pollution through cultural practices, social organization, and collective environmental action.   Method. An ethnographic research design was employed, integrating participant observation, in-depth interviews, household surveys, and environmental field notes to generate a multi-layered understanding of community responses. Results. The findings reveal three central patterns: first, adaptive behaviors emerge through pragmatic strategies such as waste repurposing and informal recycling networks; second, environmental degradation reshapes local cosmologies and cultural narratives surrounding cleanliness, morality, and human–nature relationships; third, forms of resistance manifest through community-led cleanups, youth environmental activism, and negotiations with local authorities and industries contributing to pollution. Conclusion. The study concludes that community adaptation and resistance are driven by intertwined ecological, economic, and cultural dynamics, illustrating that environmental crises are socially mediated phenomena requiring context-sensitive interventions.    
Co-Authors Amir Raza Ethan Tan Hadi Mardiyanto Isnadi Isnadi Loso Judijanto Nuraiman Nuraiman Omar Khan Rafiullah Amin Razia Khan Restu Auliani Roya Zahir Shazia Akhtar Ton Kiat Zahrotul Uyun Zainal Syahlan Zara Ali