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All Journal APTEKINDO TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics ELINVO (Electronics, Informatics, and Vocational Education) Journal of Information Systems Engineering and Business Intelligence JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Technopreneur (JTech) Jambura Journal of Informatics Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) MURHUM : JURNAL PENDIDIKAN ANAK USIA DINI El-Mujtama: Jurnal Pengabdian Masyarakat Journal Automation Computer Information System (JACIS) Inverted Journal Of Human And Education (JAHE) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Pengabdian Papua Jurnal Vokasi Sains dan Teknologi Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) Empiris Jurnal Pengabdian Pada Masyarakat (EJPPM) El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Pada Masyarakat Eldimas Scientific Journal of Informatics Informasi interaktif : jurnal informatika dan teknologi informasi Diffusion: Journal of Systems and Information Technology
Lanto Ningrayati Amali
Universitas Negeri Gorontalo
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Journal : Scientific Journal of Informatics

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Artificial Intelligence-Based Leveling System for Determining Severity Level of Autism Spectrum Disorder Rasim, R; Munir, M; Wihardi, Yaya; Ningrayati Amali, Lanto
Scientific Journal of Informatics Vol. 12 No. 4: November 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i4.14440

Abstract

Purpose: The aim of this research is to analyze the use of an artificial intelligence (AI)-based leveling system to determine the severity of autism spectrum disorders (ASD). Methods: The research method is a systematic literature review. This study addresses three key questions: (i) What factors are used to determine ASD severity? (ii) What algorithms or AI models are used in classifying ASD severity? (iii) What are the results of this AI-based leveling system in terms of severity levels or categories? Results: The study results identified several key factors that influence ASD severity, including age, IQ, genetic and neurological factors, co-occurring mental health conditions, and sociodemographic variables. Various AI algorithms, including machine learning and deep learning techniques, are used to classify the severity of ASD. The results of this study highlight the effectiveness of AI in providing objective, consistent, and measurable assessments of ASD severity, although challenges such as data quality and ethical considerations remain. AI-based leveling systems show significant potential in improving assessment and intervention processes for ASD. Novelty: This research systematically synthesizes studies on AI-driven ASD severity assessment, providing insights into crucial variables for AI-based evaluation tools. By analyzing the factors influencing severity and the effectiveness of AI models, this study identifies promising approaches for classification. The findings offer valuable contributions to the development of AI-based tools in clinical and educational applications. Further research is necessary to improve AI reliability, address biases, and maximize its potential in ASD assessment and intervention.
Co-Authors Abdul Aziz Bouty Agus Lahinta Ahmad Azhar Kadim Akbar, Muhammad Ilham Alfian Zakaria Alhabsy, Nazwa Antula, Nur Savira Anwar, Ridha Alvariza Arip Mulyanto Awaludin Madjidu Bahu, Karim Buke, Imam B. Dadi, Heru Hartato Dai, Roviana H. Dengo, Moh. Fadel Diko, Yulianti Dwinanto, Arif Edi Setiawan Erni Mohamad Femy Mahmud Sahami Gani, Hilmansyah Gede Sandika, I Wayan Gede Sandika Gelo, Siti Zalyah Gubali, Jihan Fahira Halid, Rahayu Hamdata, Ayub Hamlina, Robin Y. Hanifah Mardlatillah Harto Malik Hasan S. Panigoro hasdiana, hasdiana Hermila A Hunta, Aprilia M Husain, Wirahman Salsabil I Made Hermanto I Wayan Gede Sandika I Wayan Gede Sandika I Wayan Sudana Indhitya R Padiku Ishak Isa Jawa, Agnes Wuda Jemmy A Pakaya Katili, Moh. Zulkifli Kilo, Juriah R. Kinanti, Titin Seh Kusuma, Ma'rifatul Sasmitha Lahay, Sri Nilawati Lahay, Sri Nilawaty Lailany Yahya Lamatenggo, Nina Landung, Aji Muhamad Lanto Miriatin Amali Lanto Mohamad Kamil Amali Lantu, Zulvikry Andre Lillyan Hadjaratie M Munir M. Mahmuddin Mahmud, Fikran Malapu, Nayla Yuniar mamonto, fara humaira Manda Rohandi Mardlatillah, Hanifah Maryam Rahim Mas'ud, Huzaima Masloman, Alwiansyah Mazida Ahmad Moh Ramdhan Arif Kaluku mohammad syafri tuloli Mokodompit, Nuris Salikin Mongilong, Mohammad Farhan Muchlis Polin Muhammad Rifai Katili Mukhlisulfatih Latief Musa, Viviwidyawati A MUTHIA Nambo, Ilun Nancy Katili nauko, yogi septiawan Nikmasari Pakaya Nova Elysia Ntobuo Pakaya, Nikmasari Pala, Nisya Fiscadilla Payu, Citron Pena, Wiki Aji Putra Rahman Takdir Rahman, Muhammad Anugrah Rahmat Taufik R.L Bau Ramang H. Yusuf Rampi Yusuf Rasim, Rasim Rasim, Rasim Ratha, Doung Rifadli Bahsuan Rochmat Mohammad Thohir Yassin Rolinsa Madina, Novita Rosbin Pakaya Rustam I. Husain Salahudin Olii Sali, Mohammad Rifai Sali, Mohammad Rifai Samatowa, Lukman Setiawan, Zahrul Siti Aisa Liputo Sitti Suhada Sri Ayu Ashari Sri Nila Lahay Sudirman, Randi Sugeha, Alif Perdana Sulistio, Rian Suma, Mahmud Sunardi Sunardi Sunarty Suly Eraku Suwandi, Ihsanulfu'ad Tajuddin Abdillah Thohir Yassin, Rochmat Mohammad Tri Alfandra Labuga Ts. Bullah, Ilham Umar Sako, Umar Usup, Rima Melati Utina, Suci Rahmawaty Wandi Ismail Wibowo, Sela Febrianti Wihardi, Yaya Yahya, Abdurrafi Yuszda K Salimi Zees, Nurtianingrat