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All Journal Journal of Computer Science Advancements Journal of Noesantara Islamic Studies Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Journal of Biomedical and Techno Nanomaterials Journal of Humanities Research Sustainability Journal of Multidisciplinary Sustainability Asean Islamic Studies in the World
Amir Raza
Badakhshan University
Religion Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Other

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ISLAMIC ECONOMICS AND SUSTAINABLE DEVELOPMENT: TOWARDS AN INCLUSIVE AND ETHICAL GLOBAL ECONOMY Abdur Rohman; Amir Raza; Khalil Zaman
Journal of Noesantara Islamic Studies Vol. 3 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnis.v3i3.3831

Abstract

The growing challenges of economic inequality, environmental degradation, and social exclusion have prompted a search for alternative economic systems. Islamic economics, grounded in principles of justice, equity, and responsible resource management, offers a promising solution to these global issues. This study aims to explore how Islamic economics can contribute to sustainable development by fostering an inclusive and ethical global economy. The research employs a qualitative approach, utilizing interviews with key informants and case studies from countries that have implemented Islamic economic principles. Data collected highlights the alignment of Islamic economics with the goals of sustainable development, emphasizing social welfare, environmental stewardship, and equitable wealth distribution. The study reveals that Islamic economic principles not only promote economic growth but also ensure that such growth benefits all segments of society without compromising environmental integrity. Barriers to the widespread adoption of Islamic economics, such as institutional resistance and limited awareness, are also identified. The findings suggest that integrating Islamic economic principles into global economic systems could significantly contribute to achieving the United Nations' Sustainable Development Goals. This research provides valuable insights for policymakers, business leaders, and scholars seeking to incorporate Islamic economics into development strategies.
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).  
Quantum Sensing of Weak Magnetic Fields using Diamond NV Centers in Biological Environments Rithy Vann; Amir Raza; Nomsa Zulu
Journal of Tecnologia Quantica Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v3i1.3581

Abstract

Quantum sensing using nitrogen-vacancy (NV) centers in diamond has emerged as a powerful approach for detecting extremely weak magnetic fields with high spatial resolution and ambient operational conditions. Despite their proven sensitivity in controlled environments, the performance of NV-based sensors in biological systems remains challenged by decoherence, optical scattering, and environmental noise. This study aims to investigate the capability of diamond NV centers to detect weak magnetic fields in biologically relevant environments and to evaluate the factors influencing their performance. An experimental–computational approach was employed, combining optical detection of magnetic resonance (ODMR) measurements with simulations of spin dynamics under varying environmental conditions. Nanodiamond samples were tested across buffer solutions, cell culture media, and tissue-like environments. The results indicate that NV centers retain the ability to detect weak magnetic fields in biological settings, although sensitivity decreases due to reduced coherence time and optical contrast. Surface functionalization improves stability and partially mitigates environmental effects, enhancing overall sensor performance. These findings suggest that NV-based quantum sensors offer a promising platform for non-invasive biological magnetometry, provided that material engineering and noise mitigation strategies are optimized. This study concludes that integrating quantum sensing with biological systems is feasible and can advance applications in biomedical diagnostics and cellular imaging..
Exploring Teacher Creativity in Developing Project-Based Learning Models in Indonesian Elementary Schools Amir Raza; Shazia Akhtar; Rafiullah Amin
Journal of Loomingulisus ja Innovatsioon Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v1i5.1709

Abstract

Teacher creativity plays a critical role in enhancing the quality of education, particularly in elementary schools. However, limited studies have explored how teachers develop innovative learning models tailored to students’ needs in the Indonesian context. This study aims to investigate the strategies employed by teachers to design project-based learning (PBL) models and assess their impact on students’ engagement and critical thinking skills. Employing a qualitative research method, data were collected through interviews, classroom observations, and document analysis involving 15 elementary school teachers across three regions in Indonesia. The findings reveal that teachers utilized diverse approaches, such as integrating local culture, leveraging digital tools, and fostering collaborative learning, to enrich PBL designs. Additionally, students exhibited increased motivation and improved problem-solving abilities when engaging in these models. However, challenges such as limited resources and training opportunities hindered optimal implementation. In conclusion, this study highlights the potential of teacher creativity in shaping effective PBL models and underscores the importance of institutional support for professional development. Future research should focus on scaling successful practices and addressing existing barriers.
Analysis of the Influence of Product Design on Consumer Purchasing Decisions Bassam Al-Khouri; Omar Khan; Amir Raza
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i6.1984

Abstract

This research examines the influence of product design on consumer purchasing decisions. In the era of intense market competition, companies increasingly recognize that a well-designed product can be a significant factor in attracting consumers. Consumers are often influenced by the aesthetic appeal, usability, and functionality of a product before making a purchase decision. The objective of this study is to analyze the impact of various product design elements such as visual appeal, ergonomics, and brand identity on the purchasing decisions of consumers. This research uses a quantitative approach, employing surveys and questionnaires distributed to a sample of 200 consumers. Data analysis was conducted using descriptive statistics and regression analysis to determine the strength of the relationship between product design and purchasing decisions. The findings indicate that product design has a significant influence on consumer purchasing behavior. Among the design factors, visual appeal was found to have the strongest effect on consumers' decisions, followed by functionality and brand association. The study highlights that product design is not only a tool for differentiation but also a critical element in creating a positive consumer experience. In conclusion, companies should invest in innovative product designs to enhance consumer appeal and drive purchasing decisions.
EDGE COMPUTING AND REAL-TIME DATA PROCESSING: OPTIMIZING LATENCY AND EFFICIENCY IN INTERNET OF THINGS (IOT) ECOSYSTEMS Galih Praditya Purnomo; Supriadi Supriadi; Mochamad Achnaf; Amir Raza
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.v4i2.3621

Abstract

The rapid expansion of Internet of Things (IoT) ecosystems has intensified the need for efficient real-time data processing, exposing limitations of cloud-centric architectures in handling latency-sensitive applications. Increasing data volumes, network congestion, and delayed response times have highlighted the necessity of decentralized computing approaches. This study aims to examine the effectiveness of edge computing in optimizing latency and system efficiency within IoT environments. A mixed-methods experimental and simulation-based design was employed, comparing edge-based, cloud-based, and hybrid architectures across multiple application scenarios. Performance metrics including latency, throughput, energy consumption, and bandwidth utilization were analyzed using statistical and comparative techniques. Findings indicate that edge computing significantly reduces latency and energy consumption, while hybrid architectures achieve optimal throughput and scalability. Bandwidth utilization emerges as a key mediating factor influencing system performance, with decentralized processing improving responsiveness under high network load conditions. The study concludes that edge computing provides a robust and adaptive solution for enhancing real-time data processing in IoT ecosystems, particularly when integrated with cloud systems through optimized task allocation strategies. Effective deployment requires context-aware design, efficient resource management, and alignment with application-specific requirements.
Development of Lipid Nanoparticles for Delivery of siRNA as Gene Therapy for Lung Cancer Miksusanti Miksusanti; Rafiullah Amin; Amir Raza
Journal of Biomedical and Techno Nanomaterials Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v1i3.1758

Abstract

Lung cancer remains a significant health challenge with high mortality rates, necessitating innovative treatment approaches. Lipid nanoparticles (LNP) offer a promising platform for the delivery of small interfering RNA (siRNA) as gene therapy to target specific oncogenes in lung cancer cells. To develop and optimize LNPs for efficient siRNA delivery, improving gene silencing efficiency and therapeutic outcomes in lung cancer treatment. The study involved in vitro and in vivo experiments to characterize the LNPs, evaluate gene silencing efficiency, and assess therapeutic efficacy. LNPs were formulated with specific lipid compositions and tested on lung cancer cell lines and murine models. Optimized LNP formulations demonstrated high siRNA encapsulation efficiency (>85%), stable particle size (80-120 nm), and suitable zeta potential (-30 to -50 mV). In vitro studies showed over 70% gene silencing efficiency, while in vivo experiments indicated significant tumor growth inhibition and improved survival rates in murine models. Biodistribution studies confirmed targeted delivery to lung and tumor tissues with minimal off-target effects. The study highlights the potential of LNP-siRNA therapy as an effective and specific treatment for lung cancer. Further research and clinical trials are needed to validate these findings and optimize the delivery system for clinical use.  
NANOPARTICLE-BASED BIOMARKERS FOR EARLY DIAGNOSIS AND PROGNOSIS OF CANCER Omar Khan; Amir Raza; Dito Anurogo
Journal of Biomedical and Techno Nanomaterials Vol. 3 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v3i3.3843

Abstract

Nanoparticle-based biomarkers have shown great potential for the early diagnosis and prognosis of cancer, offering enhanced sensitivity and specificity compared to traditional diagnostic methods. The use of nanoparticles as carriers for biomolecules enables the detection of low-abundance biomarkers in the bloodstream, facilitating the identification of cancer at its early stages when treatment options are more effective. This study investigates the development and application of nanoparticle-based biomarkers for improving cancer detection and prognosis. The primary objective of this research is to evaluate the diagnostic and prognostic capabilities of nanoparticle-functionalized biomarkers in detecting various types of cancer. In vitro assays, animal models, and clinical sample analysis were employed to assess the binding affinity, detection sensitivity, and prognostic value of these biomarkers. The results indicate that nanoparticle-based biomarkers significantly enhance the detection of specific cancer markers, achieving high sensitivity and specificity, particularly in detecting early-stage cancer. Additionally, these biomarkers show promise in predicting tumor progression and patient outcomes. In conclusion, nanoparticle-based biomarkers represent a promising tool for the early diagnosis and prognosis of cancer, with the potential to improve clinical decision-making and treatment outcomes by enabling timely interventions.
Existentialism and the Search for Meaning in Contemporary Philosophy Rifki Zaitul Ikhlas; Omar Khan; Amir Raza
Journal of Humanities Research Sustainability Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v1i5.1796

Abstract

Background. Existentialism as a school of philosophy that emphasizes personal freedom and responsibility continues to be relevant in the context of contemporary life, where individuals are increasingly feeling social pressures and identity crises. Purpose. This research aims to explore how existentialism can help individuals in their search for meaning in life amid modern complexity and uncertainty.   Method. Using qualitative research methods with a phenomenological approach, this study involved in-depth interviews with adult individuals aged 25-50 years who have an interest in existentialist philosophy. Results. The results of the study show that existentialism is not only an abstract philosophical view, but also serves as a practical guide in daily life. Most participants stated that existentialism helped them deal with existential crises, social pressures, and life uncertainties through deep self-reflection and an emphasis on freedom and responsibility.   Conclusion. The conclusion of this study indicates that existentialism can make a practical contribution in helping individuals find authentic meaning in life. This study recommends further research on the application of existentialism in various cultural and social contexts to deepen the understanding of the relevance of this philosophy in the modern era.
Community-Based Health Interventions for Climate Resilience: Empowering Local Communities through Adaptation and Public Health Strategies Benny Novico Zani; Roya Zahir; Amir Raza
Journal of Multidisciplinary Sustainability Asean Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v3i2.3449

Abstract

Background. Climate change poses escalating risks to public health, particularly for communities with limited adaptive capacity and high exposure to environmental hazards. Community-based health interventions have emerged as a promising approach to enhance climate resilience by integrating local knowledge, participatory governance, and context-sensitive public health strategies. These interventions shift the focus from top-down responses to locally driven adaptation, positioning communities as active agents in managing climate-related health risks. Purpose. This study aims to examine the effectiveness of community-based health interventions in strengthening climate resilience and empowering local communities through integrated adaptation and public health strategies. The research seeks to identify key mechanisms, outcomes, and enabling conditions that support sustainable and equitable health resilience at the community level. Method. A qualitative analytical design was employed, utilizing an integrative review of peer-reviewed literature, policy documents, and selected case studies related to community-based climate-health initiatives. Data were analyzed thematically to assess intervention models, governance structures, community participation, and health outcomes. Results. The findings indicate that community-based interventions enhance adaptive capacity by improving health awareness, strengthening social capital, and fostering locally relevant adaptation practices. Programs that combine public health services, environmental management, and community engagement demonstrate greater effectiveness in reducing vulnerability to climate-related health risks. Conclusion. The study concludes that community-based health interventions represent a critical pathway for achieving climate resilience. Empowering local communities through participatory and integrated strategies not only improves health outcomes but also supports sustainable and inclusive climate adaptation efforts.
Co-Authors Abdur Rohman Bassam Al-Khouri Benny Novico Zani Dito Anurogo Galih Praditya Purnomo Khalil Zaman Miksusanti Miksusanti Mochamad Achnaf Nomsa Zulu Omar Khan Rafiullah Amin Rifki Zaitul Ikhlas Rithy Vann Roya Zahir Safiullah Aziz Shazia Akhtar Supriadi Supriadi Ton Kiat Weny Alpina