David Siddi, . (2025) IMPLEMENTASI CHATBOT MEDIS MENGGUNAKAN MODEL MISTRAL-7B UNTUK MEMBERIKAN REKOMENDASI DAN EDUKASI KESEHATAN BERBASIS AI. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The lack of public health education in Indonesia remains a significant challenge, especially in preventing issues such as stunting and low awareness of medical information. This study develops an AI-based medical chatbot using the Mistral-7B model and a prompt engineering approach to provide interactive recommendations and health education to the public. The chatbot system is designed to understand and respond to medical queries using references from scientific journals and online medical databases (Public Medical API). The implementation process involves data preprocessing, prompt creation, chatbot response evaluation using the Likert scale and Chatbot Usability Questionnaire (CUQ), and system integration via API. Evaluation results involving medical students and doctors indicate that the chatbot delivers relevant, informative, and easy-to-understand answers for non-medical users. This research demonstrates that the Mistral-7B model holds strong potential to support efficient, scalable, and adaptive health education technology in Indonesia.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110511061] [Pembimbing: Neny Rosmawarni] [Penguji 1: Indra Permana Solihin] [Penguji 2: Muhammad Panji Muslim] |
| Uncontrolled Keywords: | medical chatbot, Mistral-7B, health education, prompt engineering, artificial intelligence |
| Subjects: | R Medicine > R Medicine (General) R Medicine > RA Public aspects of medicine R Medicine > RB Pathology |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | DAVID SIDDI |
| Date Deposited: | 05 Aug 2025 08:17 |
| Last Modified: | 05 Aug 2025 08:17 |
| URI: | http://repository.upnvj.ac.id/id/eprint/37496 |
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