Sistem Monitoring Fisiologis Berbasis IoT pada Paparan Virtual Reality Imersif Menggunakan Artificial Intelligence: Studi Pilot
Keywords:
artificial intelligence, internet of things, kesehatan digital, monitoring fisiologis, virtual realityAbstract
Perkembangan teknologi virtual reality (VR) berbasis Artificial Intelligence (AI) dan Internet of Things (IoT) semakin banyak dimanfaatkan dalam bidang kesehatan, khususnya untuk monitoring fisiologis secara real-time. Penelitian ini bertujuan mengevaluasi respons fisiologis pengguna selama penggunaan VR berbasis AI dan IoT melalui pengukuran tekanan darah, denyut jantung, dan saturasi oksigen perifer (SpO₂). Penelitian ini merupakan pilot study dengan desain deskriptif yang melibatkan 15 responden dewasa sehat menggunakan teknik purposive sampling. Pengumpulan data dilakukan menggunakan perangkat VR imersif yang terintegrasi dengan sensor berbasis IoT untuk monitoring fisiologis secara langsung. Parameter yang diukur meliputi tekanan darah, denyut jantung, dan saturasi oksigen sebelum dan setelah penggunaan VR. Data dianalisis menggunakan analisis deskriptif berupa rerata, standar deviasi, frekuensi, persentase, serta nilai minimum dan maksimum. Hasil penelitian menunjukkan bahwa sebagian besar responden adalah perempuan (86,7%). Rerata tekanan darah sistolik sebesar 110,3 ± 9,1 mmHg dan diastolik sebesar 80,7 ± 7,2 mmHg. Rerata denyut jantung setelah penggunaan VR adalah 91,9 ± 7,3 kali/menit, sedangkan rerata saturasi oksigen sebesar 97,3 ± 1,1%. Hasil pemeriksaan VR menunjukkan bahwa 86,7% responden berada dalam kategori normal dan 13,3% dalam kategori tidak normal. Tidak ditemukan perubahan fisiologis yang bermakna secara klinis selama penggunaan VR berlangsung. Penelitian ini menunjukkan bahwa penggunaan VR berbasis AI dan IoT memiliki potensi sebagai sistem monitoring fisiologis digital yang aman dan stabil secara real-time dalam bidang kesehatan.
References
Barnett, M. D., & Coldiron, A. (2023). Development of the Virtual Kitchen Protocol for Prospective Memory: a virtual reality-based measure of everyday prospective memory abilities. Journal of Clinical and Experimental Neuropsychology.
Chandio, Y., Bashir, N., Interrante, V., & Anwar, F. M. (2023). Investigating the Correlation Between Presence and Reaction Time in Mixed Reality. IEEE Transactions on Visualization and Computer Graphics.
Chen, C., Yao, L., Li, G., Wang, L., Liu, K., Wang, G., & Chen, X. (2021). Research on the relationship between virtual reality content and physiological response. Journal of Physics: Conference Series, 2026(1). https://doi.org/10.1088/1742-6596/2026/1/012014
Condon, C., Lam, W. T., Mosley, C., & Gough, S. (2020). A systematic review and meta-analysis of the effectiveness of virtual reality as an exercise intervention for individuals with a respiratory condition. Advances in Simulation, 5(1). https://doi.org/10.1186/s41077-020-00151-z
Gao, Y., Wang, N., & Liu, N. (2023). Effectiveness of virtual reality in reducing preoperative anxiety in adults: A systematic review and meta-analysis. In Journal of Advanced Nursing (Vol. 79, Number 10). https://doi.org/10.1111/jan.15743
Gullo, G., Rotzinger, D. C., Colin, A., Frossard, P., Gudmundsson, L., Jouannic, A.-M., & Qanadli, S. D. (2023). Virtually Augmented Self-Hypnosis in Peripheral Vascular Intervention: A Randomized Controlled Trial. Cardiovascular and Interventional Radiology.
Kim, I. B., & Kang, J. H. (2019). The effects of full immersion and semi-immersion games on autonomic nervous system of healthy adult. International Journal of Innovative Technology and Exploring Engineering, 8(3C).
Kuhne, C., Kecelioglu, E. D., Maltby, S., Hood, R. J., Knott, B., Ditton, E., Walker, F. R., & Kluge, M. G. (2023). Direct comparison of virtual reality and 2D delivery on sense of presence, emotional and physiological outcome measures. Frontiers in Virtual Reality, 4. https://doi.org/10.3389/frvir.2023.1211001
Lou, J., Xiang, Z., Li, J., Cui, S., Huang, N., Jin, G., Le, X., Fan, Y., & Sun, Q. (2025). The beneficial impact of virtual reality in the burn wound care of pediatric patients: An updated systematic review and meta-analysis. In Burns (Vol. 51, Number 8). https://doi.org/10.1016/j.burns.2025.107623
Parvez, A., Rao, S., & Khan, A. (2023). Physiological Responsiveness to VR and non-VR Environments. Proceedings - 2023 International Conference on Computational Science and Computational Intelligence, CSCI 2023, 533–539. https://doi.org/10.1109/CSCI62032.2023.00095
Rodríguez-Fuentes, G., Campo-Prieto, P., Souto, X. C., & Carral, J. M. C. (2024). Immersive virtual reality and its influence on physiological parameters in healthy people. Retos, 51. https://doi.org/10.47197/RETOS.V51.101164
Santoriello, V., Granata, R., Ponsiglione, A. M., D’Antò, M., D’Agostino, G., Cuomo, A., Cascella, M., Romano, M., & Amato, F. (2025). Effects of Virtual Reality and Respiratory Biofeedback on Heart Rate Variability and Skin Conductance. Convegno Nazionale Di Bioingegneria. https://www.scopus.com/inward/record.uri?eid=2-s2.0-105033056004&partnerID=40&md5=e5a209f97413838ce1364c47422ed723
Wang, S., Jiang, J., Zhang, C., Lv, M., Xu, H., Meng, H., & Guo, L. (2025). Effect of Virtual Reality-Based Cardiac Rehabilitation on Mental Health and Cardiopulmonary Function of Individuals With Cardiovascular Disease: A Systematic Review and Meta-analysis. In Archives of Physical Medicine and Rehabilitation (Vol. 106, Number 6). https://doi.org/10.1016/j.apmr.2024.11.005
Wiederhold, B. K., Davis, R., & Wiederhold, M. D. (1998). The effects of immersiveness on physiology. Studies in Health Technology and Informatics, 58. https://doi.org/10.3233/978-1-60750-902-8-52.




