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<http://repository.upi.edu/id/eprint/134964> <http://purl.org/dc/terms/title> "RANCANG BANGUN FITUR CHATBOT BERBASIS DIALOGFLOW DENGAN METODE NATURAL LANGUAGE PROCESSING UNTUK KONSULTASI AUTISME DI WEBSITE YCHI AUTISME CENTER"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://repository.upi.edu/id/eprint/134964> <http://purl.org/ontology/bibo/abstract> "Autisme merupakan gangguan perkembangan saraf yang membutuhkan pendekatan komunikasi efektif untuk memberikan informasi dan dukungan kepada masyarakat, khususnya orang tua dan keluarga yang memiliki anak dengan autisme. Yayasan Cinta Harapan Indonesia (YCHI) Autisme Center memerlukan solusi digital untuk memfasilitasi konsultasi awal secara efisien. Penelitian ini bertujuan merancang dan membangun fitur chatbot berbasis Dialogflow dengan pendekatan Natural Language Processing (NLP) yang diintegrasikan ke dalam website YCHI. Sistem dikembangkan menggunakan metode ADDIE tanpa webhook atau database eksternal, serta berjalan secara statis untuk menjawab pertanyaan umum. Evaluasi dilakukan melalui User Acceptance Testing (UAT) oleh dua validator, yakni fisioterapis dan web developer, yang menyatakan seluruh skenario fungsional berhasil dijalankan dengan tingkat kelulusan 100%. Selain itu, pengujian System Usability Scale (SUS) dari 30 responden menghasilkan skor rata-rata 71,8, di atas ambang kelayakan (≥68). Hasil ini menunjukkan chatbot mudah digunakan, responsif, dan bermanfaat. Chatbot ini diharapkan terus dikembangkan agar lebih interaktif.\r\n-----\r\nAutism is a neurodevelopmental disorder that requires effective communication approaches to provide information and support to the public, especially parents and families of children with autism. Yayasan Cinta Harapan Indonesia (YCHI) Autism Center requires a digital solution to facilitate early consultation and deliver autism-related information efficiently. This study aims to design and develop a chatbot feature using Dialogflow and a Natural Language Processing (NLP) approach, integrated into the YCHI website. The system was developed using the ADDIE method without webhook or external database, functioning statically to answer general user inquiries. Evaluation was conducted through User Acceptance Testing (UAT) by two validators—a physiotherapist and a web developer—who confirmed that all functional scenarios ran successfully with a 100% completion rate. Additionally, the System Usability Scale (SUS) questionnaire, completed by 30 respondents, yielded an average score of 71.8, exceeding the minimum acceptability threshold (≥68). These results indicate that the chatbot is easy to use, responsive, and beneficial. The chatbot is expected to be further enhanced to support more interactive consultation services"^^<http://www.w3.org/2001/XMLSchema#string> .
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