Skripsi

ANSWER GENERATION MENGGUNAKAN MODEL T5 BERDASARKAN DATA TRANSKRIP VIDEO YOUTUBE UNTUK PEMBELAJARAN DIGITAL

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Penilaian

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Digital learning is rapidly evolving with the integration of technologies such as YouTube as a primary source of educational content. However, a major challenge remains in how learners can efficiently retrieve answers to specific questions from video transcripts. This study aims to design a question-answering system based on the T5 (Text-to-Text Transfer Transformer) model with input derived from YouTube video transcripts. The model is developed to extract relevant information and provide answers based on user queries. The methodology includes video transcript processing, and evaluating performance using F1-score, precision, and recall metrics. The results indicate that the best configuration was achieved with a batch size of 10, a learning rate of 1e-4, and a weight decay of 0.02, yielding an F1-score of 67.91%, recall of 88.64%, and precision of 68.07%. These findings demonstrate that the T5 model can generate fairly accurate answers based on YouTube video transcripts. The developed system is expected to serve as an effective solution in supporting more interactive and adaptive digital learning.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507005410	T182554	T1825542025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1825542025

Publisher

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

Collation

xxiii, 443 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

006.350 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Teknik Informatika
Pembelajaran Digital

Specific Detail Info

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Statement of Responsibility

KA

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