JTT (Jurnal Teknologi Terpadu)
Vol 11, No 2 (2023): JTT (Jurnal Teknologi Terpadu)

Chatbot Deteksi Awal Gangguan Kecemasan Menggunakan Dialogflow

Rahmat Rizki Hidayat (Universitas Islam Negeri Sultan Syarif Kasim Riau)
Muhammad Fikry (Universitas Islam Negeri Sultan Syarif Kasim Riau)
Yusra Yusra (Universitas Islam Negeri Sultan Syarif Kasim Riau)



Article Info

Publish Date
28 Oct 2023

Abstract

Nowadays, anxiety disorders are experienced by many individuals, making a significant impact on one's quality of life. Some people are unaware of the symptoms of anxiety disorders, making anxiety disorders trivial. This situation can cause serious physical and emotional discomfort, in some cases, leading to more severe impacts if not treated appropriately. One of the first steps in overcoming anxiety disorders is early detection. The earlier the disorder is detected, the better the chances of providing effective treatment and reducing its impact. The development of artificial intelligence technology has opened up new opportunities to address this problem. This research proposes an innovation in the form of a chatbot. The purpose of this study is to determine the feasibility and acceptability of a chatbot to identify and provide information related to symptoms of anxiety disorders. The research methodology includes Data Collection, conversation formation, model formation, implementation using Dialogflow, testing and results. The results of UAT testing on respondents consisting of students and psychologists obtained results of 84% and 74%, respectively.

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Journal Info

Abbrev

jtt

Publisher

Subject

Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Materials Science & Nanotechnology Mechanical Engineering

Description

JTT (Jurnal Teknologi Terpadu) dengan ISSN 2477-5177 (media online) dan 2338-6649 (media cetak), adalah jurnal ilmiah yang mempublikasikan hasil penelitian dibidang inovasi teknologi terapan dengan cakupan: Teknik Mesin, Teknik Elektro, Teknik Sipil, dan Teknik ...