Klasifikasi Gerak Terapi untuk Anak Autis dengan Metode CNN pada Robot SAR (Socially Assistive Robot)
DOI:
https://doi.org/10.31851/ampere.v10i1.15991Keywords:
Austistic Child, Robot-Human Interaction, Convolutional Neural Network (CNN), SAR RobotAbstract
Children with autism often have difficulties in social interaction and communication. Socially Assistive Robots (SAR) can be utilized to help them develop social and communication skills. One of the important aspects in interaction with robots is the ability of the robot to detect the motion of autistic children. This research aims to implement the Convolutional Neural Network (CNN) method on the SAR robot to detect the motion of autistic children. The CNN method was chosen because of its ability to recognize image patterns and detect objects with high accuracy. The image dataset used in this study consists of images taken using a cellphone camera manually with various poses from various points of view. The results show that the CNN method is able to recognize the movements of autistic children with high precision, thus supporting more effective interaction between the robot and the child. Challenges such as large dataset requirements and significant training time were overcome through optimization of the training process. This optimization led to improved model efficiency, reducing computation time while maintaining high accuracy.
References
A. Widodo, F. M. Nugraha, and A. N. Hidayati, "Hubungan Tingkat Kemampuan Kognitif Dan Social Life Pada Anak Autism: Literature Review," Jurnal Kesehatan Al-Irsyad, vol. 15, no. 1, pp. 26-34, 2022.
Rahayu, S. M. (2014). Deteksi dan intervensi dini pada anak autis. Jurnal Pendidikan Anak, 3(1).
D. Septia, L. Mauliani, and A. Anisa, "Pengaruh perilaku penyandang autis terhadap desain ruang dalam studi kasus: Bangunan pendidikan," PURWARUPA Jurnal Arsitektur, vol. 1, no. 2, pp. 1-12, 2018.
A. P. Maharani and R. U. Panjaitan, "Resiliensi dan hubungannya dengan tingkat stres orang tua yang memiliki anak penyandang autism spectrum disorder," *Jurnal Ilmu Keperawatan Jiwa*, vol. 2, no. 1, pp. 47-54, 2019.
M. H. M. Sharif and N. A. Jamil, "Cabaran ibu bapa bersama kanak-kanak kecelaruan spektrum autisme (ASD): tinjauan literatur," Jurnal Sains Sosial, vol. 4, no. 1, pp. 33-43, 2019.
J. Suteja and R. Wulandari, "Bentuk dan model terapi terhadap anak-anak penyandang autisme (keterbelakangan mental)," Scientiae Educatia: Jurnal Pendidikan Sains, vol. 2, no. 1, 2013.
J. Suteja, "Bentuk dan metode terapi terhadap anak autisme akibat bentukan perilaku sosial," Edueksos: Jurnal Pendidikan Sosial & Ekonomi, vol. 3, no. 1, 2014.
E. Martinez-Martin, F. Escalona, and M. Cazorla, "Socially assistive robots for older adults and people with autism: An overview," Electronics, vol. 9, no. 2, p. 367, 2020.
Z. Shi, T. R. Groechel, S. Jain, K. Chima, O. Rudovic, and M. J. Matarić, "Toward personalized affect-aware socially assistive robot tutors for long-term interventions with children with autism," ACM Transactions on Human-Robot Interaction (THRI), vol. 11, no. 4, pp. 1-28, 2022.
C. Clabaugh, D. Becerra, E. Deng, G. Ragusa, and M. Matarić, "Month-long, in-home case study of a socially assistive robot for children with autism spectrum disorder," in Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, March 2018, pp. 87-88.
A. Nugroho, R. A. Yuliawan, and R. A. Firmansyah, "Rancang Bangun Robot Sar (Search And Rescue) Dengan Sistem Kendali Semi Otomatis," SinarFe7, vol. 2, no. 1, pp. 415-418, 2019.
A. Febtriko, W. Yulianti, and T. Rahayuningsih, "Pemanfaatan Ubtech Humanoid Robot sebagai Media Pembelajaran Kepada Guru Menuju Era Revolusi Industri 4.0 Dibidang Pendidikan untuk Anak Autis di Pekanbaru Lab School," Jurnal Pengabdian Masyarakat Multidisiplin, vol. 3, no. 1, pp. 42-52, 2019.
P. J. Chandra, "Deteksi Objek Manusia Dengan Metode Support Vector Machine," 2016.
J. A. Andre, "Sistem security webcam dengan menggunakan Microsoft Visual Basic (6.0)," *Rabit: Jurnal Teknologi dan Sistem Informasi Univrab*, vol. 1, no. 2, pp. 48-60, 2016.
R. K. Ross, "Beyond autism treatment: The application of applied behavior analysis in the treatment of emotional and psychological disorders," International Journal of Behavioral Consultation and Therapy, vol. 3, no. 4, p. 528, 2007.
E. S. Dewi, "Klasifikasi Autism Spectrum Disorder Menggunakan Algoritma Naive Bayes," MATHunesa: Jurnal Ilmiah Matematika, vol. 9, no. 1, pp. 27-35, 2021.
P. A. Nugroho, I. Fenriana, and R. Arijanto, "Implementasi deep learning menggunakan convolutional neural network (CNN) pada ekspresi manusia," Algor, vol. 2, no. 1, pp. 12-20, 2020.
S. Yuliany and A. N. Rachman, "Implementasi Deep Learning pada Sistem Klasifikasi Hama Tanaman Padi Menggunakan Metode Convolutional Neural Network (CNN)," Jurnal Buana Informatika, vol. 13, no. 1, pp. 54-65, 2022.
E. Hermawan, "Klasifikasi Pengenalan Wajah Menggunakan Masker atau Tidak Dengan Mengimplementasikan Metode CNN (Convolutional Neural Network)," Jurnal Industri Kreatif dan Informatika Series (JIKIS), vol. 1, no. 1, pp. 33-43, 2021.
H. Herdianto and D. Nasution, "Implementasi Metode CNN Untuk Klasifikasi Objek," METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi, vol. 7, no. 1, pp. 54-60, 2023.
M. A. Nurdin, R. C. Wihandika, and F. Utaminingrum, "Deteksi Pergerakan Arah Mata menggunakan Convolution Neural Network berdasarkan Facial Landmark," Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 4, no. 10, pp. 3338-3345, 2020.
D. L. Z. Astuti and S. Samsuryadi, "Kajian Pengenalan Ekspresi Wajah menggunakan Metode PCA dan CNN," in Annual Research Seminar (ARS), vol. 4, no. 1, pp. 293-297, 2019.
A. A. Lubis, "Klasifikasi Citra Multi Wajah Menggunakan Domain Adaptive Faster Region Convolutional Neural Network," Jurnal SIFO Mikroskil, vol. 20, no. 2, pp. 159-168, 2019.
Hidayat, M. A., Husni, N. L., and Damsi, F., "Pendeteksi Banjir Dengan Image Processing Berbasis Convolutional Neural Network (CNN) pada Kamera Pengawas: Image Processing Based Flood Detector Using Convolutional Neural Network (CNN) Within Surveillance Camera," MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 2, no. 2, pp. 10-18, 2022.
M. Sholawati, K. Auliasari, and F. X. Ariwibisono, "Pengembangan Aplikasi Pengenalan Bahasa Isyarat Abjad Sibi Menggunakan Metode Convolutional Neural Network (CNN)," JATI (Jurnal Mahasiswa Teknik Informatika), vol. 6, no. 1, pp. 134-144, 2022.
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