Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal IJOEM: Indonesian Journal of Elearning and Multimedia International Journal of Advances in Artificial Intelligence and Machine Learning
Ayung Candra Padmasari
Universitas Pendidikan Indonesia, Jawa Barat
Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences Other

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Developing a Mixed Reality-based 3D Virtual Laboratory for Multimedia Practicum: A Metaverse Approach Ayung Candra Padmasari; Muhammad Ridwan Alfarizi Hizbillah; Muhammad Agung As'ari
IJOEM: Indonesian Journal of E-learning and Multimedia Vol. 4 No. 2 (2025): Indonesian Journal of E-learning and Multimedia
Publisher : CV. Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijoem.v4i2.393

Abstract

Background of study: Although learning media have experienced growth and variation, the trend of implementing online learning that is in accordance with the needs of the times has not fully answered the needs of students in learning independently. Specific needs, especially in skill-based fields such as multimedia, electronics, automotive, and health. The transition to online practicums has been problematic due to limited access to digital versions of tools and materials, as well as restrictions on the use of physical laboratories during the pandemic.Aims and scope of paper: This study focuses on the development of a contextually relevant educational technology solution: a 3D virtual laboratory that uses mixed reality to support online multimedia practicums. Mixed reality allows users to interact with realistic audio-visual elements such as sounds, colors, environmental activities, and specific objects, allowing for immersive navigation in a virtual setting. Incorporating Metaverse features further enhances interactivity in the virtual classroom.Methods: This study adopted the Multimedia Development Life Cycle (MDLC) method.Result: The results show that the 3D virtual laboratory meets all five usability criteria, namely, Ease of Learning (86.7%), System Performance (80.5%), Efficiency (87.1%), Ease of Finding (84.3%), and Fun (83.1%) which confirms its effectiveness as a usable and engaging learning tool.Conclusion: With the design of a 3D virtual laboratory based on mixed reality as an innovation in online multimedia practicum media, it is expected to be a new form of innovation in packaging practicum media that is more interactive and useful for distance learning activities.
Development of a WebXR-Based Collaborative LMS System with 3D Virtual Features and Artificial Intelligence Ayung Candra Padmasari; Ahamad Tarmizi Azizan; Burieva Kibrio Ergashevna
International Journal of Advances in Artificial Intelligence and Machine Learning Vol. 2 No. 2 (2025): International Journal of Advances in Artificial Intelligence and Machine Learni
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijaaiml.v2i2.448

Abstract

Background of Study: The advancement of immersive technology and artificial intelligence (AI) offers new opportunities for creating more adaptive and interactive learning systems. However, higher education institutions still face challenges such as limited industry-standard facilities and the high cost of multimedia equipment.Aims and Scope of Paper: This study aims to develop a prototype of a WebXR-based Collaborative Learning Management System (LMS) equipped with 3D virtual features and AI integration to enhance student learning experiences.Methods: The research employed the Multimedia Development Life Cycle (MDLC) method, which consists of six stages: conceptualization, design, material collection, assembly, testing, and distribution. The study involved 30 Multimedia Education students from Universitas Pendidikan Indonesia selected through purposive sampling.Result: Feasibility testing using a Likert-scale questionnaire revealed that the system achieved a highly feasible category with average scores of 81,7 % for Learnability 85,6 %, for system performance 76,93%, for Efficiency 79,9%, for memorability 74,2%, satisfaction 85,4 %. Resulting in an overall feasibility of 81.7%. Semi-structured interviews confirmed that AI integration significantly supported learning personalization and provided content recommendations, although the AI feature was limited to text-based responses.Conclusion: The results indicate that combining WebXR and AI in an LMS can address the challenges of industry-based learning by providing immersive, adaptive, and accessible learning experiences. This system demonstrates strong potential as a future-ready digital learning solution, with future research suggested to evaluate its impact on learning outcomes and improve AI capabilities for deeper contextual interaction.
Co-Authors Ahamad Tarmizi Azizan Burieva Kibrio Ergashevna Muhammad Agung As'ari Muhammad Ridwan Alfarizi Hizbillah