relation: https://digilib.uin-suka.ac.id/id/eprint/72924/
title: RANCANG BANGUN VISUAL STUDIO CODE EXTENSION CODEVA UNTUK CODE GENERATOR JAVA SECARA OTOMATIS MENGGUNAKAN LARGE LANGUAGE MODELS (LLMs)
creator: Muhammad Arif Rakhman Azizi, NIM.: 21106050042
subject: 005.12 Software System Analysis and Design/Sistem Analisa dan Desain Perangkat Lunak
description: The rapid advancement of technology has spurred a significant demand for  software, yet the Coding phase, particularly in a complex language like Java,  remains a time-consuming and error-prone process. To address this, a Visual  Studio Code Extension named CodeVa was developed to automatically generate  Java code using Large Language Models (LLMs).  Developed using the Agile Extreme Programming method ology, CodeVa  integrates a fine-tuned Open-source model, Qwen2.5 Instruct 7B. This model was  specifically trained for Java code generation using the Parameter-Efficient Finetuning  (PEFT) technique, Low-Rank Adaptation (LoRA), and the Unsloth  framework.  The fine-tuning process resulted in substantial improvements across various  performance metrics, including an increase in the CodeBLEU score from 0.3204 to  0.3521 and significant gains in ROUGE scores ROUGE-1 from 0.1736 to 0.3705,  ROUGE-2 from 0.0251 to 0.2278, and ROUGE-L from 0.0991 to 0.3252 and  Pass@10 using kulal version and chen version from 73.17% to 73.78%. Usability  testing of CodeVa yielded a System Usability Scale (SUS) score of 81.0,  categorizing it as "excellent" and "acceptable." This indicates that CodeVa is a  highly effective tool that can significantly enhance developer productivity by  facilitating faster and more efficient Java Coding .
date: 2025-08-14
type: Thesis
type: NonPeerReviewed
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/72924/1/21106050042_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/72924/2/21106050042_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf
identifier:   Muhammad Arif Rakhman Azizi, NIM.: 21106050042  (2025) RANCANG BANGUN VISUAL STUDIO CODE EXTENSION CODEVA UNTUK CODE GENERATOR JAVA SECARA OTOMATIS MENGGUNAKAN LARGE LANGUAGE MODELS (LLMs).  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.