Article Per Year (5 Year)
p-Index From 2021 - 2026
1.909
P-Index
This Author published in this journals
All Journal Journal International of Lingua and Technology Al Irsyad: Jurnal Studi Islam International Journal of Educational Narratives Journal of World Future Medicine, Health and Nursing Journal of Moeslim Research Technik Journal of Selvicoltura Asean Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Journal of Biomedical and Techno Nanomaterials Journal of Multidisciplinary Sustainability Asean
Chai, Som
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Human-Centered Artificial Intelligence Model in Classroom Management in Early Childhood Islamic Education Study Programs Idris, Meity H.; Riza, Eva; Manfaatin, Eva; Chai, Som; Akhtar, Shazia
Al Irsyad: Jurnal Studi Islam Vol. 5 No. 1 (2026): Al Irsyad: Jurnal Studi Islam
Publisher : STAI Publisistik Thawalib Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54150/alirsyad.v5i1.967

Abstract

Digital transformation demands adaptive classroom management; however, the implementation of Artificial Intelligence in Islamic higher education has not yet been structured into a human-centered model that considers pedagogical, ethical, and humanistic values. This study aims to analyze the needs of digital classroom management and to formulate a contextual Human-Centered Artificial Intelligence model for Islamic higher education. The research employed a qualitative approach with conceptual development studies through interviews, classroom observations, academic documentation, and interpretive thematic data analysis. The findings suggest that classroom management is confronted with difficulties stemming from diverse student capabilities, fluctuations in learning engagement, and inadequate utilization of learning data. To mitigate these issues, a Human-Centered Artificial Intelligence Model was developed, incorporating learning analytics, adaptive recommendation systems, and humanistic pedagogical tenets grounded in Islamic educational principles. This model designates educators as the principal decision-makers, with AI functioning as a data-driven support system. The model's implementation could potentially augment learning efficacy, personalize the learning experience, and sustainably enhance the quality of pedagogical interactions. Consequently, the integration of Human-Centered Artificial Intelligence fortifies adaptive classroom management by harmonizing technology, humanistic values, and the strategic function of educators. This study offers a conceptual model of AI-driven classroom management that is humanistic, contextually relevant, and pertinent to Islamic higher education within the digital age.
BIOMIMETIC NANOMATERIALS FOR ADVANCED BIOMEDICAL IMPLANTATION Thai, Aom; Chai, Nong; Chai, Som
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.v3i1.3560

Abstract

Biomimetic nanomaterials, inspired by natural systems, have gained significant attention in the field of biomedical implants due to their ability to mimic the properties of biological tissues. These materials offer advantages such as enhanced biocompatibility, improved mechanical properties, and the potential to promote tissue regeneration. The integration of biomimetic nanomaterials into biomedical implants could revolutionize the field of medical devices by improving their functionality and longevity. This study aims to explore the development and application of biomimetic nanomaterials for advanced biomedical implantation. The research focuses on evaluating their mechanical, biological, and functional properties to determine their suitability for use in medical implants. A systematic review of the latest studies on biomimetic nanomaterials for biomedical applications was conducted. Materials such as hydroxyapatite, collagen-based nanomaterials, and nanostructured metals were analyzed for their properties, performance, and potential for use in various implant types. In vitro and in vivo studies were included to assess biocompatibility and efficacy. The findings demonstrate that biomimetic nanomaterials significantly improve the performance of biomedical implants. These materials exhibit superior biocompatibility, enhanced cell adhesion, and promote better tissue integration compared to conventional materials. Biomimetic nanomaterials offer promising solutions for advanced biomedical implants. Their ability to closely mimic biological tissue properties enhances implant functionality and integration, leading to improved patient outcomes.
Co-Authors Akhtar, Shazia Angglena, Melly Chai, Napat Chai, Nong EVA RIZA, EVA Hamdani Hamdani Handriadi, Handriadi idris, Meity H. Judijanto, Loso Justam, Justam Krit, Pong Kustiyanto, Hafidz Nur Ockta Manfaatin, Eva Muhammad Firdaus Nampira, Ardi Azhar Nur Latifah, Nur Pao, Chai Pong, Ming Som, Rit Sri Widiastuti, Sri SULASMI ANGGO Tahir, Usman Thai, Aom Wahyudin Rahman