Vol. 19 No. 3 (2026): September

Current Issue

Published: 2026-08-11

Articles

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 : 76

PDF : 41
- PDF
DOI : 10.35882/jteknokes.v19i3.163
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 : 145

PDF : 96
- PDF
DOI : 10.35882/jteknokes.v19i3.164