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All Journal Journal International of Lingua and Technology Journal of Computer Science Advancements Journal of Moeslim Research Technik Journal of Selvicoltura Asean Journal of Loomingulisus ja Innovatsioon Techno Agriculturae Studium of Research Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology Journal of Humanities Research Sustainability Scientechno: Journal of Science and Technology Journal of Paddisengeng Technology Journal Markcount Finance Pengabdian: Jurnal Abdimas International Journal of Language and Ubiquitous Learning
Zhang Li
Peking University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Other

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Development of Nanocellulose-Based Biomaterials from Agricultural Waste for Bone Tissue Regeneration Applications Chen Mei; Zhang Li; Zhou Hui
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.
PERSONALIZED NANOMEDICINE APPROACHES ENABLED BY BIOINFORMATICS AND MACHINE LEARNING Zhang Li; Chen Mei; Wang Jing
Journal of Biomedical and Techno Nanomaterials Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v3i1.3559

Abstract

Personalized nanomedicine has emerged as a promising approach to tailor treatments to individual patients, enhancing therapeutic efficacy while minimizing side effects. The integration of bioinformatics and machine learning (ML) has the potential to revolutionize this field by enabling more precise and efficient drug delivery systems, biomarker identification, and therapeutic strategies. However, the full potential of these technologies in personalized nanomedicine remains underexplored. This study aims to explore how bioinformatics and machine learning can enable personalized nanomedicine approaches, particularly in the areas of drug delivery optimization, patient-specific treatment planning, and biomarker discovery. The research investigates the application of these technologies in identifying individualized treatment strategies and improving patient outcomes. A systematic review of the current literature on bioinformatics, machine learning, and personalized nanomedicine was conducted. Case studies and experimental research using these technologies were analyzed to identify trends, applications, and challenges. Machine learning models were applied to bioinformatics datasets to predict drug responses and optimize nanomedicine formulations. The study found that bioinformatics and ML significantly enhance the accuracy of drug efficacy predictions, biomarker identification, and the design of personalized nanomedicine treatments. Furthermore, these technologies have improved patient-specific therapy optimization in clinical trials. The combination of bioinformatics and machine learning holds great promise for advancing personalized nanomedicine, offering tailored therapeutic solutions that improve patient outcomes and treatment efficiency.
University-Industry Partnership in Encouraging Innovation in the Field of Creative Technology Chen Mei; Zhang Li; Zhou Hui
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 Philosophy of Consciousness: Understanding the Mind-Body Problem Nurlatipah Nurlatipah; Li Wei; Zhang Li
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.v1i5.1795

Abstract

Background. The background of this research is based on a long debate between dualism, which separates the mind as a non-physical entity, and materialism, which sees full consciousness as the result of physical processes in the brain. Purpose. The purpose of this study is to explore an integrative approach that tries to bring these two views together to provide a more comprehensive understanding of consciousness.    Method. The research method used is a qualitative approach with in-depth literature analysis, involving the thoughts of leading philosophers and neuroscientists. Results. The results show that the integrative approach has the potential to explain the subjective and physical aspects of consciousness simultaneously, without having to set aside one perspective. Conclusion. The conclusion of this study suggests that mind-body problems require a more cross-disciplinary and inclusive approach, which is able to bridge the gap between philosophy and neuroscience. These findings pave the way for more applicable follow-up research to test the validity of integrative approaches in a variety of practical contexts.
THE IMPACT OF GAME-BASED LANGUAGE LEARNING ON THE MOTIVATION AND SPEAKING FLUENCY IN MANDARIN CHINESE OF INDONESIAN UNIVERSITY STUDENTS Mufadhol Mufadhol; Li Wi; Zhang Li
Journal International of Lingua and Technology Vol. 4 No. 3 (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/jiltech.v4i3.1148

Abstract

Mandarin Chinese has become increasingly important in higher education in Indonesia, yet many university students experience low motivation and limited speaking fluency due to linguistic complexity and anxiety in oral communication. This study aims to examine the impact of Game-Based Language Learning on students’ learning motivation and speaking fluency in Mandarin Chinese. The research employed a quasi-experimental design with a non-equivalent control group, involving sixty Indonesian university students enrolled in Mandarin courses. Data were collected through motivation questionnaires, standardized speaking fluency tests, and classroom observations, and were analyzed using descriptive statistics, inferential tests, and qualitative thematic analysis. The findings reveal that students who participated in game-based learning activities demonstrated significantly higher motivation levels and greater improvements in speaking fluency compared to those receiving conventional instruction. Game-based activities reduced speaking anxiety, increased participation, and provided meaningful opportunities for spontaneous oral practice. The study concludes that Game-Based Language Learning is an effective pedagogical approach for enhancing both affective and communicative aspects of Mandarin speaking instruction. Integrating structured game-based activities into university Mandarin programs can support learner engagement, improve oral fluency, and address persistent challenges in foreign language learning contexts. These findings offer practical implications for curriculum design and innovative language pedagogy development.
Adaptive Learning Systems: Personalizing Mathematics Instruction for At-Risk Students Zhang Li; Ethan Tan; Priya Patel
Journal of Paddisengeng Technology Vol. 2 No. 1 (2026)
Publisher : PT. Sinergi Bersahaja Sejahtera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65224/jopate.v2i1.245

Abstract

Background. Mathematics learning among at-risk students is frequently constrained by heterogeneous learning gaps, low engagement, and limited access to individualized instruction. Conventional teaching approaches often fail to accommodate these differences, leading to persistent disparities in academic achievement. Purpose. This study aims to examine the effectiveness of adaptive learning systems in personalizing mathematics instruction and improving learning outcomes for at-risk students, as well as to explore the role of student engagement in this process. Method. A quasi-experimental mixed-methods design was employed involving 112 students assigned to experimental (adaptive learning system) and control (traditional instruction) groups. Data were collected through pretest–posttest assessments to measure achievement, engagement questionnaires to assess behavioral and emotional involvement, and system-generated learning analytics to track progress and interaction patterns. Quantitative data were analyzed using descriptive and inferential statistics, while qualitative insights were derived through thematic analysis. Results. The findings indicate that adaptive learning systems significantly improve mathematics achievement and student engagement compared to conventional instructional methods. Personalized learning pathways, immediate feedback, and continuous progress monitoring contribute to enhanced performance and reduced variability among learners. Engagement is identified as a mediating factor that strengthens the relationship between adaptive instruction and academic achievement. Conclusion. Adaptive learning systems offer an effective and scalable solution for supporting at-risk students in mathematics education. The results underscore the importance of integrating personalization and engagement-focused strategies to promote equitable learning outcomes. Educators and institutions are encouraged to adopt adaptive technologies to create more responsive and inclusive instructional environments.
EXTREME VULNERABILITY EVALUATION IN INTEGRATED POTATO SUPPLY CHAINS: SCOR APPROACH AND LIKELIHOOD-IMPACT MAPPING Ujang Apriansyah; Endang Tri Astutiningsih; Ashrul Tsani; Zhang Li
Journal Markcount Finance Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmf.v4i3.4029

Abstract

This study quantifies the extreme vulnerability of the integrated potato supply chain at PT Fujitake Shouten, Nagasaki, Japan, amidst intersecting macroeconomic, demographic, and climate crises. By integrating the Supply Chain Operations Reference (SCOR) model with a Likelihood-Impact matrix, this research systematically prioritized 40 operational risk events validated through stakeholder consensus to assess the systemic fragility of fresh produce logistics. Empirical results reveal a dominant concentration of threats within the “High” and “Very High” risk categories, confirming an operational environment with a near-zero margin of error. The analysis identified a critical domino effect where rural labor shortages necessitate rough mechanical harvesting, causing physical tuber damage that accelerates metabolic respiration and spoilage during cold storage, ultimately disrupting financial liquidity and downstream retail performance. To mitigate these cascading failures, the study provides a data-driven framework where specific interventions notably precision cold-chain temperature management and visual quality controls are directly linked to risk reduction. These findings offer an actionable strategy for agribusiness entities to transition from reactive measures to proactive resilience, effectively stabilizing cash-to-cash cycles in vertically integrated supply chains.
Implementation of an Integrated Organic Farming System to Empower Local Farmer Groups in the Highlands of Bali Wang Junn; Zhang Li; Putu Fajar Kartika Lestari; Miko Purnomo
Pengabdian: Jurnal Abdimas Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v3i4.3289

Abstract

Background. Agricultural sustainability in Bali’s highland regions faces increasing challenges due to soil degradation, excessive chemical input, and the decline of traditional farming practices. These issues threaten both environmental resilience and the socio-economic stability of smallholder farmers. Purpose. This study aims to implement and evaluate an integrated organic farming system designed to empower local farmer groups through environmentally sustainable and economically viable agricultural practices.   Method. The research employed a participatory action research (PAR) method involving 60 farmers across three highland villages Kintamani, Pelaga, and Pupuan. The program integrated organic composting, biopesticide application, crop rotation, and market linkage training. Data were collected through field observations, yield measurements, and pre- and post-intervention surveys assessing knowledge, productivity, and income. Results. Results of the study demonstrated that the implementation of an integrated organic farming system effectively improved agricultural productivity, environmental quality, and farmers’ socio-economic well-being in the highlands of Bali. Conclusion. The study concludes that implementing a community-based organic farming model can simultaneously promote environmental restoration and rural economic empowerment. The success of this approach demonstrates its potential scalability for sustainable agriculture programs across Indonesia’s highland ecosystems.
Augmented Reality Flashcards to Improve Early Literacy in Indonesian Primary Schools James Njoroge; Wang Jing; Zhang Li
International Journal of Language and Ubiquitous Learning Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v3i3.2993

Abstract

Background. Early literacy development is a crucial foundation for lifelong learning, yet many Indonesian primary school students continue to face difficulties in recognizing letters, decoding words, and connecting phonemes to visual symbols. Traditional flashcards, while useful, often fail to sustain young learners’ attention or provide interactive engagement. Purpose. This study aims to examine the effectiveness of AR-based flashcards in improving early literacy skills among first-grade students in Indonesian primary schools. Method. Employing a quasi-experimental design, the study involved 60 students divided into an experimental group using AR flashcards and a control group using conventional printed flashcards over six weeks. Data were collected through pre- and post-literacy assessments and classroom observations. Results. Statistical analysis using paired-sample t-tests indicated a significant improvement in letter recognition, word decoding, and reading fluency among the experimental group (p < .05). Observational findings also revealed heightened motivation, concentration, and active participation when AR elements were integrated into literacy instruction. Conclusion. The study concludes that AR flashcards provide a powerful medium for enhancing foundational literacy through multisensory engagement and interactive learning. The findings highlight the potential of AR technology to enrich early childhood education and support Indonesia’s national efforts in promoting digital-based learning environments.
MICROSTRUCTURAL EVOLUTION AND TENSILE BEHAVIOR OF DISSIMILAR STEEL JOINTS UNDER MULTI-PASS WELDING Saripuddin M; Li Wei; Zhang Li
Scientechno: Journal of Science and Technology Vol. 5 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v5i2.4242

Abstract

Dissimilar steel joints are increasingly employed in demanding engineering structures, yet repeated thermal cycles during multi-pass welding can generate complex microstructural heterogeneity and localized mechanical-property gradients that affect structural integrity. This study investigates the relationship between cumulative welding thermal history, microstructural evolution, local property variation, and tensile fracture behavior in multi-pass dissimilar steel joints. An experimental laboratory design integrated controlled multi-pass welding, metallographic characterization, microhardness mapping, transverse tensile testing, fracture-location analysis, and fractographic examination to establish process–structure–property relationships. The results revealed pronounced microstructural and hardness variations across the weld metal, fusion boundaries, heat-affected zones, and base materials due to unequal thermal histories and repeated reheating. Tensile fracture occurred preferentially within or adjacent to mechanically heterogeneous transition regions rather than consistently within the weld centerline or maximum-hardness zone, demonstrating the critical influence of local strength–ductility mismatch and deformation compatibility. The study concludes that tensile performance cannot be adequately explained by average strength or peak hardness alone. An integrated pathway linking thermal history, microstructural evolution, property gradients, strain localization, and fracture behavior provides a stronger mechanistic framework for evaluating joint integrity and optimizing multi-pass welding procedures for reliable dissimilar steel structures under demanding industrial service conditions.
Co-Authors Ahmad Zarkasih Aldi Bastiatul Fawait Fawait Andres Villanueva Ardi Azhar Nampira Ardi Azhar Nampira Arnes Yuli Vandika Ashrul Tsani Carlos Fernandez Chen Mei Endang Tri Astutiningsih Ethan Tan Indra Satriadi James Njoroge Krisna Natawijaya Li Wei Li Wi Liu Yang Miko Purnomo Mufadhol Mufadhol Nurhayati Nurhayati Nurlatipah Nurlatipah Priya Patel Putu Fajar Kartika Lestari Sara Hussain Saripuddin M Sun Wei Ujang Apriansyah Wang Jing Wang Jun Wang Junn Yang Xiang Zhou Hui