Laboratorium Virtual dalam Biomekanika: Tinjauan dan Validitas Fisika Simulasi Gerak Manusia

Authors

  • Miftahul Janna Universitas Negeri Makassar
  • Sitti Fatimah Azzahra Universitas Negeri Makassar
  • Muhammad Fadli Universitas Negeri Makassar

DOI:

https://doi.org/10.51574/hybrid.v4i3.5226

Keywords:

laboratorium virtual, biomekanika, validitas fisika, simulasi gerak manusia

Abstract

Laboratorium virtual (VL) telah berkembang menjadi komponen pedagogis sentral dalam pembelajaran biomekanika olahraga, terutama sebagai respons terhadap keterbatasan aksesibilitas dan biaya sistem penangkapan gerak (MoCap) konvensional. Artikel ini menyajikan tinjauan sistematis dan analitis terhadap perkembangan VL dalam pembelajaran biomekanika (2018–2026), dengan fokus utama pada validitas fisika simulasi gerak manusia. Melalui metode library research dengan pendekatan kualitatif-naratif, studi ini mengidentifikasi empat kategori utama teknologi VL, yaitu estimasi pose berbasis video (markerless), sensor inersia (IMU), pemodelan muskuloskeletal, serta realitas virtual dan tertambah (VR/AR), dan mengevaluasi kesesuaian output kinematika dan kinetikanya dengan prinsip mekanika Newtonian. Temuan menunjukkan bahwa VL yang mengintegrasikan kendala berbasis fisika dalam alur pemrosesan data menghasilkan output yang lebih konsisten dengan data referensi standar dibandingkan pendekatan tanpa kendala fisika. Kerangka kontrol optimal berbasis IMU mampu mendekati akurasi sistem MoCap optik dengan galat RMSE yang signifikan lebih rendah, sementara konfigurasi sensor jarang yang dikombinasikan dengan model muskuloskeletal sagital dapat merekonstruksi gerak secara valid hanya dengan dua hingga tiga sensor. Secara pedagogis, VL terbukti meningkatkan pemahaman konseptual melalui visualisasi kausalitas gaya-gerak, memfasilitasi pengulangan eksperimen aman tanpa risiko cedera, dan mendukung implementasi blended learning. Kesenjangan penelitian yang tersisa mencakup evaluasi longitudinal transfer pembelajaran, standardisasi protokol validasi VL lintas platform, dan kajian ekuitas akses.

References

Bagesteiro, L. B. (2021). Practical Experiential Learning: A Methodology Approach for Teaching Undergraduate Biomechanics. Journal of Kinesiology & Wellness, 9, 58–68. https://doi.org/10.56980/jkw.v9i.80

Dorschky, E., Nitschke, M., Mayer, M., Weygers, I., Gaßner, H., Seel, T., Eskofier, B. M., & Koelewijn, A. D. (2025). Comparing Sparse Inertial Sensor Setups for Sagittal-Plane Walking and Running Reconstructions. Frontiers in Bioengineering and Biotechnology, 13. https://doi.org/10.3389/fbioe.2025.1507162

Dove, E., Hennessy, K., Kirou-Mauro, A., Aitkens, L., Duncan, A., Agur, A., & Ho, E. S. (2023). Gross and Applied Anatomy Pedagogical Approaches in Occupational Therapy Education: A Scoping Review. Canadian Journal of Occupational Therapy, 91(2), 136–148. https://doi.org/10.1177/00084174231197614

Edriss, S. (2025). Commercial Vision Sensors and AI-based Pose Estimation Frameworks for Markerless Motion Analysis in Sports and Exercises: A Mini Review. Frontiers in Physiology, 16. https://doi.org/10.3389/fphys.2025.1649330

Escobar, D. L. T. (2026). Trends in Virtual and Remote Laboratories for Physics Education: A Bibliometric Analysis (2014–2024). European Journal of Physics, 47(2), 23001. https://doi.org/10.1088/1361-6404/ae3f65

Farooq, E., Zaidi, E., & Shah, M. M. A. (2024). The Future Classroom: Analyzing the Integration and Impact of Digital Technologies in Science Education. Jurnal Penelitian Dan Pengkajian Ilmu Pendidikan E-Saintika, 8(2), 280–318. https://doi.org/10.36312/esaintika.v8i2.1957

Gramigna, V., Palumbo, A., & Perri, G. D. (2025). Advancing Gait Analysis: Integrating Multimodal Neuroimaging and Extended Reality Technologies. Bioengineering, 12(3), 313. https://doi.org/10.3390/bioengineering12030313

Harris, D., Bird, J. M., Smart, P., Wilson, M., & Vine, S. J. (2020). A Framework for the Testing and Validation of Simulated Environments in Experimentation and Training. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.00605

Jing, Z., Han, J., & Zhang, J. (2023). Comparison of Biomechanical Analysis Results Using Different Musculoskeletal Models for Children With Cerebral Palsy. Frontiers in Bioengineering and Biotechnology, 11. https://doi.org/10.3389/fbioe.2023.1217918

McConnochie, G., Fox, A., Bellenger, C. R., & Thewlis, D. (2025). Optimal Control Simulations Tracking Wearable Sensor Signals Provide Comparable Running Gait Kinematics to Marker-Based Motion Capture. Peerj, 13, e19035. https://doi.org/10.7717/peerj.19035

Mittal, M. (2025). Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning. https://doi.org/10.48550/arxiv.2511.04831

Sari, M., & Asmendri. (2020). Penelitian Kepustakaan (Library Research) dalam Penelitian Pendidikan IPA. 6(1), 41–53.

Sellberg, C., Nazari, Z., & Solberg, M. (2024). Virtual Laboratories in STEM Higher Education: A Scoping Review. Njsre, 2. https://doi.org/10.23865/njsre.v2.5766

Tiwari, A. K., Sinha, P. P., Prasad, J., Badhyal, S., & Joseph, S. (2024). Teaching Introductory Biomechanics Course in Low Resource Environment. International Journal of Mechanical Engineering Education, 54(1), 58–85. https://doi.org/10.1177/03064190241272568

Tong, W. (2025). Innovation in Dance Teaching Based on Virtual Reality Technology. International Journal of Web-Based Learning and Teaching Technologies, 20(1), 1–19. https://doi.org/10.4018/ijwltt.389874

Wang, H., Basu, A., Durandau, G., & Sartori, M. (2023). A Wearable Real-Time Kinetic Measurement Sensor Setup for Human Locomotion. Wearable Technologies, 4. https://doi.org/10.1017/wtc.2023.7

Zhong, Y. (2025). A Review of Reviews on Virtual Reality in Educational Context: Constraints, Implications, and Research Agendas. Journal of Educational Computing Research, 64(2), 439–492. https://doi.org/10.1177/07356331251396405

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Published

2026-03-31

How to Cite

Miftahul Janna, Azzahra, S. F., & Fadli, M. (2026). Laboratorium Virtual dalam Biomekanika: Tinjauan dan Validitas Fisika Simulasi Gerak Manusia . Hybrid: Jurnal Pendidikan Dan Pembelajaran Sains, 4(3), 48–57. https://doi.org/10.51574/hybrid.v4i3.5226