ANALISIS SENTIMEN MASYARAKAT TERKAIT PEMBANGUNAN IBU KOTA NUSANTARA (IKN) MENGGUNAKAN FINE-TUNING INDOBERT

NUGRAHA, WAHYU and Yusliani, Novi and Marieska, Mastura Diana (2024) ANALISIS SENTIMEN MASYARAKAT TERKAIT PEMBANGUNAN IBU KOTA NUSANTARA (IKN) MENGGUNAKAN FINE-TUNING INDOBERT. Undergraduate thesis, Sriwijaya University.

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Abstract

The development of Ibu Kota Nusantara (IKN) has become a topic of public interest, generating various opinions reflecting societal sentiment. This study aims to analyze public sentiment toward the development of IKN using a fine-tuned IndoBERT-based deep learning model. The dataset was collected from platform X, consisting of 18,264 training data, 2,283 validation data, and 2,283 test data, with sentiments categorized as positive, neutral, and negative. The model training was conducted using four different configurations of learning rates and epochs. The results indicate that the configuration with a learning rate of 5e-7 and 10 epochs achieved the best performance, with an accuracy of 89% and precision, recall, and F1-score values of 0.88 each. Other configurations yielded lower results, with a learning rate of 5e-5 experiencing overfitting on the training data. This study demonstrates that the IndoBERT model can be effectively used for sentiment analysis in the Indonesian language, with outcomes varying based on the training configurations applied.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Sentimen, IKN, IndoBERT, Deep Learning, Fine-Tuning
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Wahyu Nugraha
Date Deposited:	07 Jan 2025 06:38
Last Modified:	07 Jan 2025 06:38
URI:	http://repository.unsri.ac.id/id/eprint/162862

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