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All Journal Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Sains Informatika Terapan (JSIT)
Ramadini, Yane
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mathematics

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Expert System Diagnosa Anak Penderita Autism Dengan Metode Forward Chaining Menggunakan Bahasa Pemograman Java Dan Database Mysql Ramadini, Yane; Mardison; Aggy Pramana Gusman
Jurnal Sains Informatika Terapan Vol. 4 No. 2 (2025): Jurnal Sains Informatika Terapan (Juni, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i3.724

Abstract

Autism disorders in a person generally suffer from birth, lack of sensitivity and parental knowledge about it is the problem so that the disorder is not detected quickly. For some people who are unfamiliar with this, it is very difficult to find information about places that provide this service. Because the process is too long, or lack of socialization for parents who do not understand this disorder. The problems that exist in the UPTD for Disability Services and Inclusive Education which are still diagnosing by relying on experts. The author makes an expert system that can diagnose children with autism with the forward chaining method, namely by answering questions related to the symptoms of autistic disorders according to the symptoms felt. It is hoped that the UPTD for Disability Services and Inclusive Education can be helped, and with this system, the service will be faster and also help the performance of employees at the UPTD for Disability Services and Inclusive Education.
Expert System Diagnosa Anak Penderita Autism Dengan Metode Forward Chaining Menggunakan Bahasa Pemograman Java Dan Database MySQL Oktavia, Eva; Ramadini, Yane; Wahyuni, Widya
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 2 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i2.1239

Abstract

Autism Spectrum Disorder (ASD) is a developmental disorder that affects communication, social interaction, and behavior. In Indonesia, autism diagnostic services still rely entirely on experts, thus limiting service effectiveness, particularly at the Disability Services and Inclusive Education Unit (UPTD). This study aims to develop an expert system based on the forward chaining method to diagnose autism quickly, precisely, and accurately. The methods used include data collection through field observations, interviews with experts, and literature review. The system was built using the Java programming language and a MySQL database, with 46 symptoms and four types of disorders as its knowledge base. The inference process was carried out using if-then rules and forward chaining techniques to generate initial diagnoses and recommendations. The results showed that this expert system was capable of independently diagnosing based on user symptom input and producing diagnostic output with high efficiency. This system also simplifies the expert's task because it can be used as an aid, not a replacement, in the diagnostic process. In conclusion, the expert system developed can improve service effectiveness, accelerate the diagnostic process, and reduce dependence on the presence of in-person experts. This system can be an innovative solution to support technology-based inclusive services. Keywords: expert system, autism, forward chaining, diagnosis, UPTD disability services
Co-Authors Aggy Pramana Gusman Eva Oktavia, Eva Mardison Widya Wahyuni