Perancangan Robot Mainan Pintar Berbasis Sensor dan Teknologi Machine Learning
Abstract
This research aims to develop an intelligent mainan pintar robot using sensor technology and machine learning to monitor cognitive and motor stimulation in toddlers. Motivated by the critical impact of early development on a child's growth and learning, the study addresses developmental delays, affecting 1-3% of Indonesian children under 5 (WHO, 2019). The goal of this research is to enhance the robot's environmental awareness and responsiveness, contributing to early childhood interventions. The study employs primary data from tool testing and secondary data from relevant literature. By incorporating advanced sensor technology and machine learning, the envisioned mainan pintar robot aims to revolutionize toddler development monitoring.
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References
[2] M. Y. Chang, C. H. Yuan, dan Y. P. Chi, "The Role of Mobile Digital Devices in Early Childhood Development: A Review of Recent Studies," Early Child Development and Care, vol. 193, no. 6, pp. 911-925, 2023. [Online]. Available: https://doi.org/10.1080/03004430.2021.1989633
[3] Jahirin dan Amelinda, "HUBUNGAN PENGGUNAAN GADGET (HANDPHONE) DENGAN POLA PERKEMBANGAN SOSIAL ANAK USIA PRASEKOLAH," VII, no. 2, 2019.
[4] K. Kabali, M. M. Irigoyen, R. Nunez-Davis, J. G. Budacki, S. H. Mohanty, K. P. Leister, dan R. L. Bonner, "Exposure and Use of Mobile Media Devices by Young Children," Pediatrics, vol. 136, no. 6, pp. 1044-1050, 2015. [Online]. Available: https://doi.org/10.1542/peds.2015-2151
[5] R. A. Fidalgo, C. Rocha, dan P. Alves-Oliveira, "Smart Toy in Early Childhood and Primary Education: A Systematic Review of Technological and Educational Affordances," Applied Sciences, vol. 11, no. 15, p. 6734, 2021. [Online]. Available: https://doi.org/10.3390/app11156734
[6] Bian, W. Li, H. Jin, J. Li, Y. Li, dan S. Wang, "A Voice Recognition Sensor and Voice Control System in an Intelligent Toy Robot System," Frontiers in Robotics and AI, vol. 8, p. 712517, 2021. [Online]. Available: https://doi.org/10.3389/frobt.2021.712517
[7] C. L. Casas, V. Charisi, K. Groth, dan F. Wijnen, "Influence of a Socially Assistive Robot on Physical Activity, Social Play Behavior, and Toy-Use Behaviors of Children in a Free Play Environment," Frontiers in Robotics and AI, vol. 8, p. 676553, 2021. [Online]. Available: https://doi.org/10.3389/frobt.2021.676553
[8] B. Setiawan, O. J. Aldo Wijaya, L. H. Pratomo, dan S. Riyadi, "Sistem Navigasi Automated Guided Vehicle Berbasis Computer Vision dan Implementasi pada Raspberry Pi," Jurnal Rekayasa Elektrika, vol. 17, no. 1, pp. 7–14, 2021. [Online]. Available: https://doi.org/10.17529/jre.v17i1.18087
[9] Oktaviani dan I. E. Setiyono, "PESBOOK: Permainan Edukatif Smart Book sebagai Media Stimulasi Motorik Halus Usia Dini," Aulad: Journal on Early Childhood, vol. 5, no. 3, pp. 335–342, 2022. [Online]. Available: https://doi.org/10.31004/aulad.v5i3.387
[10] Mubin, C. J. Stevens, S. Shahid, A. Al Mahmud, dan J. J. Dong, "A Review of the Applicability of Robots in Education," Journal of Technology in Education and Learning, vol. 1, no. 1, pp. 1-18, 2019.
[11] C. Kamga, A. Ghembom, A. Lameck, dan N. Baloian, "A Survey on the Use of Educational Robots for Promoting STEM Education," Journal of Computers in Education, vol. 7, no. 3, pp. 431-451, 2020. [Online]. Available: https://doi.org/10.1007/s40692-020-00166-7
[12] Géron, "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems," O'Reilly Media, 2017.
[13] S. Raschka and V. Mirjalili, "Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2," Packt Publishing, 2019.
[14] Goodfellow, Y. Bengio, A. Courville, dan Y. Bengio, "Deep Learning," MIT Press, 2016.
[15] R. S. Sutton dan A. G. Barto, "Reinforcement Learning: An Introduction," MIT Press, 2018.
[16] V. S. Kumar, L. Pullagura, N. V. Kumari, S. Pooja Nayak, B. P. Devi, A. Alharbi, dan S. A. Asakipaam, "Internet of Things-Based Patient Cradle System with an Android App for Baby Monitoring with Machine Learning," Wireless Communications and Mobile Computing, 2022. [Online]. Available: https://doi.org/10.1155/2022/1140789
[17] C. C. Lakshmi, A. B. Deeksha, dan S. Deeksha, "Predicting the Reason for the Baby Cry Using Machine Learning," 2019. [Online]. Available: https://doi.org/10.5281/zenodo.2656353
[18] Y. C. Liang, I. Wijaya, M. T. Yang, J. R. Cuevas Juarez, dan H. T. Chang, "Deep Learning for Infant Cry Recognition," International Journal of Environmental Research and Public Health, vol. 19, no. 10, 2022. [Online]. Available: https://doi.org/10.3390/ijerph19106311
[19] M. K. H. Leung, C. H. Yeung, W. W. W. Fu, W. K. Wong, W. M. Cheung, S. Y. S. Leung, dan S. H. Ling, "Omnidirectional wheel and propulsion system for robotic applications," Robotics and Computer-Integrated Manufacturing, vol. 63, p. 101902, 2020. [Online]. Available: https://doi.org/10.1016/j.rcim.2019.101902
[20] K. L. Seow, S. Y. K. Keng, L. C. Chang, dan C. H. H. Ooi, "Omnidirectional mobility platform for indoor autonomous service robots," Robotics and Autonomous Systems, vol. 142, p. 103755, 2021. [Online]. Available: https://doi.org/10.1016/j.robot.2021.103755
[21] D. Z. Zhang, C. L. Y. Liu, Y. Y. L. Tsang, C. Y. W. Leung, dan C. H. W. Chan, "Design and control of an omnidirectional mobile robot platform with improved maneuverability and stability," Robotics and Autonomous Systems, vol. 147, p. 103881, 2022. [Online]. Available: https://doi.org/10.1016/j.robot.2021.103881
[22] J. Redmon dan S. Divvala, "You Only Look Once: Unified, Real-Time Object Detection," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 779-788, 2018. [Online]. Available: https://doi.org/10.1109/CVPR.2016.91
[23] M. S. N. G. Ni Ketut Novia Nilasari, "Prediksi Nilai Cryptocurrency Dengan," Majalah Ilmiah Teknologi Elektro, Vol.22, No.2, p. 226, 2023. [Online]. Available: https://doi.org/10.24843/MITE.2023.v22i02.P09
[24] K. K. P. I. F. I. D. A. I. W. I.M.P. Arya Winata, "Model Object Detection Neural Network Berbasis Hand," Majalah Ilmiah Teknologi Elektro, Vol.22, No.2, vol. 2, p. 190, 2023. [Online]. Available: https://doi.org/10.24843/MITE.2023.v22i02.P05
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