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Online ISSN : 2407-8964
Print ISSN : 1907-7904
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1 - 4 of 4 items

Classification of Autism Spectrum Disorder (ASD) in Children Using the VGG19 CNN Model Based on Facial Landmarks of the Eye and Forehead Areas

DOI : 10.35882/jteknokes.v19i2.158
yunidar (1), Arya Suyanda (2), Melinda Melinda (3), Lailatul Qadri Zakaria (4), Siti Rusdiana (5)
(1) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(2) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(3) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia, Indonesia ,
(4) Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia, Malaysia ,
(5) Department of Mathematics, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia
061-071
Abstract : 595
PDF : 247
DOI : 10.35882/jteknokes.v19i2.158

Predicting Stress Levels in Special Needs School Teachers Using DASS-21 and Gradient Boosting Machine

DOI : 10.35882/jteknokes.v19i3.164
Alfita Khairah (1), melinda melinda (2), Iskandar Hasanuddin (3), Rizka Miftahujjannah (4), Rosminazuin Ab Rahim (5), Siti Rusdiana (6)
(1) Department of Industrial Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia ,
(2) Department of Electrical Engineering and Computer, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia ,
(3) Department of Industrial Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia ,
(4) Doctoral Program in Engineering Science, Postgraduate School, Universitas Syiah Kuala, Banda Aceh, Indonesia ,
(5) Department of Electrical and Computer Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia ,
(6) Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia
139-156
Abstract : 169
PDF : 120
DOI : 10.35882/jteknokes.v19i3.164

Beta-Band Electroencephalography Classification for Autism Spectrum Disorder Using Wavelet Features and Least-Squares Support Vector Machine

DOI : 10.35882/jteknokes.v19i2.148
Muhammad Irhamsyah (1), melinda melinda (2), Sri Rahayu Ade (3), Saifullah Nur Muhammad (4), Yunidar Yunidar (5), Nurlida Basir (6)
(1) Department of Electrical Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia ,
(2) Department of Electrical Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia ,
(3) Department of Electrical Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia ,
(4) Department of Electrical Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia ,
(5) Department of Electrical Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia, Indonesia ,
(6) Universiti Sains Islam Malaysia (USIM), Malaysia, Malaysia
110-119
Abstract : 239
PDF : 64
DOI : 10.35882/jteknokes.v19i2.148

Improved Autism Spectrum Disorder Detection Using Euclidean-Distance Facial Landmark Features to Enhance Classification Accuracy and Stability with Cross-Validation

DOI : 10.35882/jteknokes.v19i3.163
Syifa Anzella (1), Yudha Nurdin (2), Melinda (3), Junidar (4), Rosminazuin Ab Rahim (5)
(1) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia ,
(2) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia ,
(3) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, Indonesia ,
(4) Department of Informatics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia ,
(5) Department of Electrical & Computer Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Indonesia
128-138
Abstract : 106
PDF : 60
DOI : 10.35882/jteknokes.v19i3.163
1 - 4 of 4 items

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  • Organized by: Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya Indonesia
  • Institution Website: https://poltekkesdepkes-sby.ac.id
  • Published by: Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya Indonesia
  • Journal Website: https://teknokes.org/index.php/teknokes/index
  • e-ISSN: 2407-8964, p-ISSN: 1907-7904
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  • Email: teknokes@poltekkesdepkes-sby.ac.id | triwi@poltekkesdepkes-sby.ac.id 
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