Moch Arsyil Albany
Universitas Islam Negeri Sunan Gunung Djati Bandung

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

Implementasi Algoritma BERT untuk Question and Answer System Terkait Hadist dalam Bentuk Virtual Youtuber Moch Arsyil Albany; Ichsan Taufik; Ichsan Budiman
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 02 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i02.1704

Abstract

In this digital era, the integration of Islamic teachings with advanced technology has become essential. This research focuses on developing an Islamic QnA system using Artificial Intelligence in the form of a Virtual YouTuber (VTuber). The system leverages the IndoBERT-SQuAD algorithm for Natural Language Processing, particularly in handling questions about hadiths. By employing prototype methodology, the system underwent stages of analysis, design, implementation, and evaluation. Confidence score and F1-score metrics were utilized to assess the system's performance. After contextual grouping, the model demonstrated significant improvement, achieving an F1-score of 0.96875. Despite these advancements, the system still faces challenges in providing accurate long-form answers. This research contributes to the application of technology in Islamic education, offering a practical solution for making hadith knowledge more accessible and appealing to the younger generation.