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Lanto Ningrayati Amali
Universitas Negeri Gorontalo
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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 Alfian Zakaria Antula, Nur Savira Anwar, Ridha Alvariza Arip Mulyanto Awaludin Madjidu Dadi, Heru Hartato Dai, Roviana H. Diko, Yulianti Dwinanto, Arif Edi Setiawan Erni Mohamad Femy Mahmud Sahami Fikran Mahmud Gani, Hilmansyah Gede Sandika, I Wayan Gede Sandika Gelo, Siti Zalyah Halid, Rahayu Hamdata, Ayub Hamlina, Robin Y. Hanifah Mardlatillah Harto Malik Hasan S. Panigoro hasdiana, hasdiana Hunta, Aprilia M I Made Hermanto I Wayan Gede Sandika I Wayan Gede Sandika I Wayan Sudana Imam B. Buke Indhitya R Padiku Ishak Isa Jawa, Agnes Wuda Jemmy A Pakaya Karim Bahu Kilo, Juriah R. Kinanti, Titin Seh Lahay, Sri Nilawati Lahay, Sri Nilawaty Lailany Yahya Lamatenggo, Nina Lanto Miriatin Amali Lanto Mohamad Kamil Amali Lillyan Hadjaratie M Munir M. Mahmuddin Malapu, Nayla Yuniar mamonto, fara humaira Manda Rohandi Mardlatillah, Hanifah Maryam Rahim Masloman, Alwiansyah Mazida Ahmad Moh Ramdhan Arif Kaluku Moh. Fadel Dengo Moh. Zulkifli Katili Mohammad Rifai Sali mohammad syafri tuloli Mokodompit, Nuris Salikin Mongilong, Mohammad Farhan Muchlis Polin Muhammad Ilham Akbar Muhammad Rifai Katili Mukhlisulfatih Latief Musa, Viviwidyawati A Nambo, Ilun Nancy Katili Nikmasari Pakaya Nova Elysia Ntobuo Ntobuo*, Nova Elysia Nurtianingrat Zees Pakaya, Nikmasari Pala, Nisya Fiscadilla Payu, Citron Rahman Takdir Rahmat Taufik R.L Bau Ramang H. Yusuf Rampi Yusuf Rasim, R Ratha, Doung Rian Sulistio Rifadli Bahsuan Rochmat Mohammad Thohir Yassin Rolinsa Madina, Novita Rustam I. Husain Salahudin Olii Sali, Mohammad Rifai Samatowa, Lukman Setiawan, Zahrul Siti Aisa Liputo Sitti Suhada Sri Ayu Ashari Sri Nila Lahay Sudirman, Randi Sugeha, Alif Perdana Suma, Mahmud Sunardi Sunardi Sunarty Suly Eraku Suwandi, Ihsanulfu'ad Tajuddin Abdillah Thohir Yassin, Rochmat Mohammad Tri Alfandra Labuga Umar Sako, Umar Usup, Rima Melati Wandi Ismail Wibowo, Sela Febrianti Wihardi, Yaya Wiki Aji Putra Pena Wirahman Salsabil Husain Yahya, Abdurrafi Yogi Septiawan Nauko Yuszda K Salimi