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All Journal Al-Hijr: Journal of Adulearn World Journal Markcount Finance Journal of Tecnologia Quantica Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology
Hui, Zhou
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Physics Other

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Employee Wellbeing and Work Productivity: The Role of Psychological Capital Azizah, Siti Nur; Xiang, Yang; Hui, Zhou
Journal Markcount Finance Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmf.v3i1.2132

Abstract

In the contemporary workplace, employee wellbeing has emerged as a critical factor influencing work productivity. Psychological capital (PsyCap), encompassing hope, efficacy, resilience, and optimism, is posited as a key driver in enhancing both wellbeing and productivity. Despite its potential, the role of PsyCap in mediating the relationship between employee wellbeing and productivity remains underexplored. This study aims to investigate the role of psychological capital in linking employee wellbeing to work productivity, providing insights into how organizations can leverage PsyCap to foster a productive workforce. A quantitative approach was employed, utilizing structured surveys distributed to 350 employees across various industries. Data were analyzed using structural equation modeling (SEM) to examine the mediating role of PsyCap. The findings reveal that psychological capital significantly mediates the relationship between employee wellbeing and work productivity. Employees with higher levels of PsyCap reported greater wellbeing and demonstrated enhanced productivity. Hope and resilience emerged as the most influential components of PsyCap in this context. This study underscores the importance of psychological capital as a pivotal mechanism connecting employee wellbeing to productivity. Organizations are encouraged to invest in PsyCap development programs to cultivate a resilient and optimistic workforce, ultimately driving organizational success.
Management of AI-Based Education Data to Optimize the Learning Process Oci, Markus; Na, Li; Hui, Zhou
Al-Hijr: Journal of Adulearn World Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v4i1.850

Abstract

The rapid advancement of artificial intelligence (AI) technologies has led to their growing integration in educational systems, promising to revolutionize the learning process. AI has the potential to optimize learning by personalizing educational experiences, improving decision-making, and enhancing the management of educational data. However, despite these advancements, there is still a lack of systematic approaches to managing AI-based education data in a way that can consistently optimize the learning process. This study aims to explore how AI-based education data management can enhance the learning process by improving data-driven decision-making, student engagement, and performance tracking. A mixed-methods research design was used, combining qualitative case studies and quantitative data analysis. The study involved analyzing AI-driven data management tools used in several educational institutions to optimize learning outcomes. Surveys, interviews, and data analysis were used to evaluate the effectiveness of these tools in real-world educational settings. The results indicate that AI-based data management tools significantly enhance the learning process by providing real-time feedback, personalized learning paths, and better resource allocation. Educators and students reported increased engagement and improved learning outcomes due to the use of AI-powered tools. This study concludes that effective management of AI-based education data is essential for optimizing the learning process. Educational institutions should prioritize the integration of AI-driven data systems to maximize learning outcomes and efficiency.
Development of Nanocellulose-Based Biomaterials from Agricultural Waste for Bone Tissue Regeneration Applications Mei, Chen; Li, Zhang; Hui, Zhou
Journal of Biomedical and Techno Nanomaterials Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v1i4.1762

Abstract

Agricultural waste has great potential to be used as biomaterial raw materials that can be used in medical applications, especially for bone tissue regeneration. Nanocellulose, which is produced from natural cellulose, offers good mechanical properties and high biocompatibility. This research aims to develop nanocellulose-based biomaterials from agricultural waste for bone regeneration applications. The purpose of this study is to explore the potential of agricultural waste, such as rice straw, peanut husks, and corn leaves, in producing high-quality nanocellulose that can be used for applications in the field of bone tissue regeneration. This study uses an experimental design with a laboratory approach. Agricultural waste is treated through nanocellulose extraction using certain chemical techniques. Material characterization was carried out using scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR), as well as biocompatibility tests using osteoblast cell cultures. The results show that rice straw produces nanocellulose with the highest cellulose content (65%) and has optimal tensile strength and degradation time for bone tissue applications. Peanut husks and corn leaves also show good results, although not as good as rice straw. Agricultural waste, especially rice straw, has great potential to be used as a raw material for nanocellulose that can be used in bone tissue regeneration applications. This research opens up opportunities to develop more sustainable and affordable biomaterials for medical applications.
University-Industry Partnership in Encouraging Innovation in the Field of Creative Technology Mei, Chen; Li, Zhang; Hui, Zhou
Journal of Social Entrepreneurship and Creative Technology Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v1i4.1730

Abstract

The increasing importance of innovation in the field of creative technology has prompted the need for stronger collaboration between universities and industries. These partnerships have become essential in bridging the gap between academic research and real-world applications, particularly in creative industries such as digital media, design, and technology. However, despite the potential benefits, the dynamics and effectiveness of university-industry partnerships in fostering innovation have not been fully explored. This research aims to examine how these partnerships encourage innovation within the creative technology sector, specifically focusing on the challenges, strategies, and outcomes of such collaborations. The study employs a mixed-methods approach, combining qualitative case studies of successful university-industry partnerships with quantitative surveys from stakeholders involved in creative technology ventures. Data were collected from universities, tech companies, and innovation hubs to assess the extent to which partnerships contribute to technological advancements, skill development, and economic growth in the creative technology sector. The findings reveal that university-industry partnerships play a crucial role in fostering innovation by providing access to cutting-edge research, resources, and a skilled workforce. These collaborations also help overcome challenges such as funding, market access, and technological expertise. However, the study also identifies barriers such as lack of communication, differences in organizational culture, and mismatched goals between academic institutions and industries. In conclusion, university-industry partnerships significantly contribute to innovation in creative technology but require a more structured approach to enhance their impact. Improving communication and aligning objectives are key to ensuring sustainable and effective collaboration.
The Post-Quantum Cryptography Challenge: A Security Analysis of Lattice-Based vs. Code-Based Algorithms Judijanto, Loso; Hui, Zhou; Wei, Sun
Journal of Tecnologia Quantica Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.2794

Abstract

The emergence of large-scale quantum computers poses a critical threat to classical public-key cryptographic systems, prompting the rapid development of post-quantum cryptography as a foundational component of future digital security. Lattice-based and code-based algorithms have become leading candidates due to their strong conjectured resistance to quantum attacks; however, their comparative security characteristics remain insufficiently examined under unified analytical frameworks. This study aims to provide a comprehensive security analysis of lattice-based and code-based post-quantum cryptographic algorithms by evaluating their resilience against known classical and quantum attack vectors. A structured methodological approach is employed, combining complexity-theoretic assessment, parameter-sensitivity evaluation, and simulated attack modeling across representative schemes such as CRYSTALS-Kyber, NTRU, Classic McEliece, and BIKE. The results indicate that lattice-based schemes offer strong security margins under current attack models but exhibit notable sensitivity to parameter misconfiguration and structured lattice weaknesses. Code-based schemes demonstrate exceptional robustness due to the hardness of decoding random linear codes, yet face practical limitations in key size and implementation overhead. The study concludes that both families remain viable for post-quantum standardization, although their security assurances depend heavily on careful parameter selection and continued cryptanalytic scrutiny as quantum hardware evolves.
Co-Authors Judijanto, Loso Mei, Chen Na, Li Siti Nur Azizah, Siti Nur Sun Wei Xiang, Yang Zhang Li