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All Journal Techno.Com: Jurnal Teknologi Informasi Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL PENGABDI SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer IJISTECH (International Journal Of Information System & Technology) Jurnal Tekno Kompak JEMMA | Journal of Economic, Management and Accounting Jurnal Manajemen Informatika dan Sistem Informasi Cyber Security dan Forensik Digital (CSFD) Jurnal Bumigora Information Technology (BITe) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) IJISTECH Mitra Mahajana: Jurnal Pengabdian Masyarakat Media Jurnal Informatika ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Interaktif: Warta Pengabdian Pendidikan (JIWPP) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA INCOME: Indonesian Journal of Community Service and Engagement Bakti Sekawan : Jurnal Pengabdian Masyarakat Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Alamtana Prosiding Seminar Nasional CORISINDO
Kurniadin Abd Latif
Universitas Bumigora
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Journal : Media Jurnal Informatika

 1 
Autism Classification Using MobileNetV3 Feature Extraction and K-Nearest Neighbor Algorithm Husaini, Rahayun Amrullah; Pratama, Gede Yogi; Latif, Kurniadin Abd.; Zulfikri, Muhammad; Augustin, Kartarina
Media Jurnal Informatika Vol 17, No 2 (2025): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v17i2.5934

Abstract

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by difficulties in social interaction, communication, and repetitive behaviors. Early detection of ASD is crucial; however, conventional diagnostic methods rely heavily on clinical observation and expert assessment, which can be time-consuming and resource-intensive. Along with the rapid development of artificial intelligence, especially in computer vision and machine learning, automated image-based approaches have gained attention as alternative tools for ASD screening. This study proposes a hybrid classification approach that integrates MobileNetV3 as a feature extraction model with the K-Nearest Neighbor (KNN) algorithm for autism classification using facial image data. Unlike previous CNN–KNN approaches, this study specifically explores the use of MobileNetV3’s lightweight architecture to generate compact and discriminative facial features, which are then classified using KNN to evaluate its effectiveness in low-complexity and resource-efficient settings. This design highlights the novelty of combining an optimized lightweight CNN with a distance-based classifier for autism detection from facial images. The dataset used in this research was obtained from Kaggle and consists of 2,940 labeled facial images of children categorized into Autism and non-Autism classes. This study proposes a hybrid classification approach that combines MobileNetV3 as a lightweight feature extraction model with the K-Nearest Neighbor (KNN) algorithm for autism classification. Experimental evaluations were conducted over multiple independent runs to improve statistical reliability, and model performance was assessed using accuracy, precision, recall, and F1-score. The results indicate that the proposed hybrid model achieves satisfactory and consistent performance while maintaining computational efficiency. These findings suggest that integrating lightweight deep learning models with classical machine learning algorithms can provide an effective and resource-efficient approach for autism classification, with potential applicability as a supportive tool for early ASD screening rather than a definitive clinical diagnosis.
Co-Authors Abdurahman Abdurrahman Ahmad Ahmad Ahmad Ahmad Ahmad Ahmad Zuli Amrullah Ahmad Zuli Amrullah Andi Sofyan Anas Anthony Anggrawan Apriani Apriani Arfa, Muhammad ashari, Lalu Arif Trasna Astuti, Emi Augustin, Kartarina Azhar, Raisul Baehaqi Baehaqi Bagas Hadista Mulyadi Bima Romadhon Parada Dian Palevi Bukran Cahyablindar, Ayu Cahyati, Anzali Ika EKO NURCAHYO Fadila, Baiq Fatimatuzahra, Fatimatuzahra Fatimatuzzahra Fatimatuzzahra Galih Tri Aditya Gilang Primajati Guyup Mahardhian Dwi Putra Habib Ratu Perwira Negara Hadi, Agus Purbathin Hairani Hairani Hakim, Muh.Farid Hammad, Rifqi Hany Pebrianti Hariyadi , I Putu Hasbullah Hasbullah Herman, Lalu Edy Husain Husain Husain Husaini, Rahayun Amrullah I Nyoman Switrayana I Putu Hariyadi I Wayan Mustika Nayottama Adi Wijaya Innudin, Muhammad Kartarina, Kartarina Khairan marzuki Kurniawan Kurniawan Lestari, I Desak Ayu Adhia Lilik Widyawati M Najmul Fadli M. Hidayatullah M. Rasyid Ridho Mardedi, Lalu Zazuli Azhar Megawati, Citra Dewi Melati Rosanensi Miftahul Madani Muhamad Azwar Muhamad Azwar, Muhamad Muhamad Wisnu Alfiansyah Muhammad Eka Putra Ramandha Muhammad Innuddin Muhammad Mujahid Dakwah Muhammad Tahir Muhammad Tahir Muhammad Zulfikri Muhammad Zulfikri Naufali, M. Nizhar Nugroho Dwi Aji Nurcahyo, Azriel Christian Ondi Asroni Pahrul Irfan Pahrul Irfan Pratama, Gede Yogi Puspita Dewi, Puspita Putra, I Gede Bagus Resa Pratama Putrawan, Yogi Eka Rachmadi Setiawan Reza Bahtiar Saputra Rifqi Hammad Rifqy Hammad Rini Adriani Auliana Rini Anggriani Riyana Rizki Yuliatin Rizqullah, M. rodhi, mohammad najib Satrijo Saloko Sirojul Hadi Sujaka, Tomi Tri Sujaka, Tomy Tri Sukma, I Gusti Ayu Yunita Suriyati ., Suriyati Suryadin, Adi Syahrir, Moch. Syamsurrijal, Syamsurrijal Syarifah Taufik Hidayat Tomi Tri Sujaka Tomi Tri Sujaka Tri Sujaka, Tomi Wahyu Kamil Syarifaturrahman, Wahyu Kamil Wahyudi Wahyudi Wardhana, M.Alifya Widyawati , Lilik Wiguna, I Putu Krisna Dharma Wijaya, Frederico Indra Zamroni Alpian Muhtarom Zefanya Andryan Girsang Zulfikri, Muhammad