AIML

Article Details

Vol. 1 No. 1 (2025): December

Expert system for early detection of autism in children using forward chaining method based on android

https://doi.org/10.35912/aiml.v1i1.3773
25 Dec 2025

Abstract

Purpose: This study aims to design and develop an Android-based expert system for early detection of Autism Spectrum Disorder in children using the Forward Chaining inference method. The system supports parents and educators in recognizing symptoms and bridging the gap between early identification and professional intervention.

Methodology/approach: This research adopts a research and development approach using a prototype model. Data were collected through literature review, observation, and expert interviews with child development specialists. The expert system applies Forward Chaining using a rule-based knowledge base covering three ASD severity levels and 27 validated symptoms. System performance was evaluated.

Results/findings: The study developed an Android-based expert system to identify autism symptoms and classify severity levels. The system achieved 92% accuracy compared with expert diagnoses, while functional testing confirmed all features operated correctly, including symptom input, diagnostic results, and online clinic reservation.

Conclusions: The Android-based expert system using the Forward Chaining method is effective and reliable for supporting early autism detection. Its logical and transparent inference process makes it suitable for non-expert users, while the integration with healthcare services strengthens early intervention efforts.

Limitations: The system relies on predefined rules and symptom data, which may not capture the full variability of autism manifestations. The application also does not replace professional clinical diagnosis and is limited to early screening purposes.

Contribution: This study contributes a lightweight and accessible mobile expert system for autism detection, integrating diagnostic support with professional access, delivering practical value for parents, educators, and early childhood intervention programs.

Keywords

Android Application Autism Early Detection Expert System Forward Chaining

How to Cite

Yulita, Y. (2025). Expert system for early detection of autism in children using forward chaining method based on android. Applied AI and Machine Learning Journal, 1(1), 21–39. https://doi.org/10.35912/aiml.v1i1.3773

References

  1. Ariska, F., & Yulianton, H. (2023). Penerapan Sistem Pakar Diagnosa Penyakit Autisme pada Anak dengan Metode Forward Chaining Berbasis Web. Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika), 8(2), 549-557.
  2. Asrianto, R., Kartini, R. A., & Amalia, A. (2023). Sistem Pakar Deteksi Dini Autisme Pada Anak Balita Menggunakan Metode Forward Chaining. JURNAL FASILKOM, 13(01), 27-32. doi:https://doi.org/10.37859/jf.v13i01.4892
  3. Evansyah, M. (2025). Expert System for Diagnosing Autism Spectrum Disorder (ASD) in Children Using the Forward Chaining Method (Case Study of the Bina Ananda Mandiri Foundation). Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal, 6(1), 13-17. doi:https://doi.org/10.55311/aiocsit.v6i1.338
  4. Fuad, E., Aminullah, R., Soni, S., & Rizki, Y. (2022). Expert System Diagnosa Gangguan Autisme Secara Dini Pada Anak dengan Metode Forward Chaining. Build. Informatics, Technol. Sci, 3(4), 728-737. doi:https://doi.org/10.47065/bits.v3i4.1413
  5. Garcia, C. P. M., Mendonça, A. G., Fagundes, A. d. C. A. R., Santos, A. C. d. M., Pereira, F. J. R., Valdevino, S. C., . . . de Sousa, M. M. (2024). Mobile Application for Tracking Children with Autistic Spectrum Disorder: Content Validation and Usability. International Journal of Environmental Research and Public Health, 21(12), 1590. doi:https://doi.org/10.3390/ijerph21121590
  6. Ghosh, T., Al Banna, M. H., Rahman, M. S., Kaiser, M. S., Mahmud, M., Hosen, A. S., & Cho, G. H. (2021). Artificial intelligence and internet of things in screening and management of autism spectrum disorder. Sustainable Cities and Society, 74, 103189. doi:https://doi.org/10.1016/j.scs.2021.103189
  7. Ginting, R., Zarlis, M., & Rosnelly, R. (2021). Analisis Perbandingan Metode Certainty Factor dan Teorema Bayes untuk Mendiagnosa Penyakit Autis Pada Anak. Jurnal Media Informatika Budidarma, 5(2), 583. doi:https://doi.org/10.30865/mib.v5i2.2930
  8. Giofran, A. R., Fanani, L., & Ananta, M. T. (2024). Pengembangan Aplikasi Perangkat Bergerak Pemeriksaan Awal Depresi Dengan Menerapkan Metode Prototyping Berbasis Android. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 8(5).
  9. Gusman, A., & Hendri, H. (2019). Expert system to diagnose child development growth disorders with forward chaining method. Paper presented at the Journal of Physics: Conference Series.
  10. Irawan, R., Raharjo, A., Mulyono, A., & Afifi, S. N. (2022). Aplikasi Praktis dan Mudah Mengenali Gejala Anak Autisme Sejak Dini. ABDI MOESTOPO: Jurnal Pengabdian Pada Masyarakat, 5(1), 109-117. doi:https://doi.org/10.32509/abdimoestopo.v5i1.1769
  11. Krishnappa Babu, P. R., Di Martino, J. M., Aiello, R., Eichner, B., Espinosa, S., Green, J., . . . Vermeer, S. (2024). Validation of a Mobile App for Remote Autism Screening in Toddlers. NEJM AI, 1(10), AIcs2400510. doi:https://doi.org/10.1056/aics2400510
  12. Lesmana, L. S. (2017). Penerapan Metode Fordward Chaining untuk Mendiagnosis Gangguan Autis pada Anak Berbasis Android. Jurnal Komputer Terapan, 3(1), 19-32.
  13. Lord, C., Brugha, T. S., Charman, T., Cusack, J., Dumas, G., Frazier, T., . . . State, M. W. (2020). Autism spectrum disorder. Nature reviews Disease primers, 6(1), 5. doi:https://doi.org/10.1038/s41572-019-0138-4
  14. Munir, M., Kaosar, R. N., Rasim, R., Murtadha, I., Shahbodin, F., & Riza, L. S. (2021). Expert System Using the Educational Game to Determine Children's Autism Levels Using Forward Chaining. Linguistics and Culture Review, 5(S1), 1149-1172. doi:https://doi.org/10.21744/lingcure.v5nS1.1499
  15. Nabilla, F. A., & Wibisono, D. (2025). Proposed Performance Management System (PMS) using performance prism indicators case study at NGO XYZ. Jurnal Bisnis dan Pemasaran Digital, 4(2), 161-182. doi:https://doi.org/10.35912/jbpd.v4i2.4534
  16. Oktavia, E., Ramadini, Y., & Wahyuni, W. (2025). Expert System Diagnosa Anak Penderita Autism Dengan Metode Forward Chaining Menggunakan Bahasa Pemograman Java Dan Database MySQL. Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence), 5(2), 449-456. doi:https://doi.org/10.55382/jurnalpustakaai.v5i2.1239
  17. Pasalli, C. R., Poekoel, V., & Najoan, X. (2016). Sistem Pakar Diagnosa Penyakit Anak Menggunakan Metode Forward Chaining Berbasis Mobile. Jurnal Teknik Informatika, 7(1).
  18. Pratama, D. B., & Armin, A. P. (2025). Pengembangan Sistem Informasi Aplikasi Mobile Pelayanan Elektronik Dispendukcapil Kota Malang. Jurnal Ilmu Siber Dan Teknologi Digital, 3(1), 11-41. doi:https://doi.org/10.35912/jisted.v3i1.5098
  19. Pratama, T. W., Astuti, I. P., & Buntoro, G. A. (2019). Aplikasi pengenalan benda sekitar untuk anak autis berbasis android. KOMPUTEK, 3(2), 87-104. doi:https://doi.org/10.24269/jkt.v3i2.274
  20. Purboningrum, F., & Utaminingrum, F. (2024). Sistem Deteksi Dini Autism Spectrum Disorder (ASD) Berbasis Face Recognition Menggunakan Metode Transfer Learning Resnet50. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 8(5).
  21. Putra, G. D. A., Rahmadi, A. A., & Armin, A. P. (2025). Rancang Bangun Sistem Informasi Manajemen Klinik Chania Care Center Berbasis Web Responsif. Jurnal Ilmu Siber Dan Teknologi Digital, 3(2), 153-179. doi:https://doi.org/10.35912/jisted.v3i2.5095
  22. Ramadhan, I., Melinda, M., Yunidar, Y., Acula, D. D., Miftahujjannah, R., Rusdiana, S., & Zainal, Z. (2025). Mobile Application Development for Facial Classification of Autistic Children Based on MobileNet-V3. JURNAL INFOTEL, 17(3), 612-626. doi:https://doi.org/10.20895/infotel.v17i3.1363
  23. Utami, H. I. D., & Laksono, S. B. (2024). Rancang Bangun Aplikasi Skala Penilaian Perilaku Untuk Membantu Diagnosa Autism Spectrum Disorder Pada Anak Berbasis Web. IKRA-ITH Informatika: Jurnal Komputer dan Informatika, 8(2), 156-163. doi:https://doi.org/10.37817/ikraith-informatika.v8i2.2976
  24. Zayniddinovna, R. D. (2025). Psychological characteristics of preventing deviant behavior among minors. Psychohealth: Scientific Journal of Psychology and Mental Health, 1(2), 75-85. doi:https://doi.org/10.35912/psychohealth.v1i2.3648
  25. Zeidan, J., Fombonne, E., Scorah, J., Ibrahim, A., Durkin, M. S., Saxena, S., . . . Elsabbagh, M. (2022). Global prevalence of autism: A systematic review update. Autism research, 15(5), 778-790. doi:https://doi.org/10.1002/aur.2696
Contact Us
WhatsApp Instagram Facebook LinkedIn Email