Skripsi

PENGEMBANGAN CHATBOT UNTUK KESEHATAN MENTAL DI ERA GENERASI Z MENGGUNAKAN FRAMEWORK RASA

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Generation Z is the largest demographic group in Indonesia and is increasingly vulnerable to mental health challenges. This study develops and evaluates a mental health chatbot using the Rasa framework and Natural Language Processing (NLP) to provide initial support for Generation Z. The chatbot was developed following the Rational Unified Process (RUP) methodology and integrated with the Telegram platform. A dataset comprising 58 mental health–related intents was used, and intent recognition was performed using the Dual Intent and Entity Transformer (DIET) classifier. System performance was evaluated through baseline and modified testing scenarios. The results show that the chatbot achieved strong classification performance, with an F1-score of 96.7%, precision of 96.8%, and recall of 97.2%. These findings indicate that the proposed chatbot can effectively support preliminary mental health assistance for Generation Z.

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Availability

Detail Information

Series Title

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Call Number

T1906862025

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xvi, 84 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

006.307

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Kecerdasan Buatan
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

TUTI

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