Dimara, Denis Lizard Sambawo (2025) INTEGRASI MODEL ARTIFICIAL INTELLIGENCE LLAMA3-70B DALAM PEMBUATAN API CHATBOT MENGGUNAKAN GOLANG UNTUK APLIKASI BACKEND. Project Report (Praktek Kerja Lapang). UPN Veteran Jawa Timur, Surabaya. (Unpublished)
![]() |
Text (COVER)
21081010159_Cover fixx PKLLLL.pdf Download (1MB) |
![]() |
Text (BAB 1)
21081010159_BAB 1.pdf Download (95kB) |
![]() |
Text (BAB 2)
21081010159_BAB 2.pdf Restricted to Repository staff only until 19 June 2028. Download (559kB) |
![]() |
Text (BAB 3)
21081010159_BAB 3.pdf Restricted to Repository staff only until 19 June 2028. Download (602kB) |
![]() |
Text (BAB 4)
21081010159_BAB 4.pdf Restricted to Repository staff only until 19 June 2028. Download (1MB) |
![]() |
Text (BAB 5)
21081010159_BAB 5.pdf Download (120kB) |
![]() |
Text (DAFTAR PUSTAKA)
21081010159_DAFTAR PUSTAKA.pdf Download (124kB) |
![]() |
Text (LAMPIRAN)
21081010159_LAMPIRAN.pdf Restricted to Repository staff only until 19 June 2028. Download (2MB) |
Abstract
The use of artificial intelligence in application development has become an essential aspect to enhance user interaction and system efficiency. This research focuses on integrating the LLAMA3-70B AI model into backend applications and building a chatbot API using Golang. The system requirements analysis includes functional aspects such as authentication and authorization with JWT, HTTP processing with Gin, data management with MySQL and Redis, and machine learning integration for prediction and data processing. Non-functional requirements analyzed include performance, scalability, security, reliability, and maintainability. The system design leverages a cloud architecture using Google Cloud Platform services to ensure scalability and reliability. It describes the user workflow and backend system design, as well as the interaction between key components such as App Engine, Cloud SQL, Compute Engine, and Cloud Redis. The database implementation involves designing relational tables to manage user data, conversations, and messages. The research results indicate that integrating the LLAMA3-70B model can enhance user responsiveness and interactivity through the developed chatbot API. System evaluation shows that the application meets functional and non-functional requirements and provides a scalable and secure solution for developing AI-based chatbot applications.
Item Type: | Monograph (Project Report (Praktek Kerja Lapang)) | ||||||||
---|---|---|---|---|---|---|---|---|---|
Contributors: |
|
||||||||
Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T58.6-58.62 Management Information Systems |
||||||||
Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||
Depositing User: | DENIS DIMARA | ||||||||
Date Deposited: | 19 Jun 2025 03:25 | ||||||||
Last Modified: | 19 Jun 2025 03:25 | ||||||||
URI: | https://repository.upnjatim.ac.id/id/eprint/38622 |
Actions (login required)
![]() |
View Item |