Mohammad Rokib, Haris Supratno, Syamsul Sodiq, Arie Yuanita, Muhammad Erwan Saing, Haris Shofiyuddin, Parmin
The application of AI in research of Indonesian internet literature is a revolutionizing approach to the enhancement of education. This research involves the design and evaluation of an AI-based annotation tool for the analysis and annotation of key literary elements such as themes, stylistic devices, and narrative structures. In this study, neural networks and support vector machines have been employed to train the AI model on a comprehensive corpus consisting of more than 500 works in Indonesian internet literature. The accuracy attained by the tool in annotation was 85%, which greatly improved student engagement and understanding of digital literary texts by 40% to 70%. While so far showing promising results, the study did encounter some challenges in the actual implementation of the research, especially concerning the necessity of heavy training and guidance for educators and students. The implications of the findings recommend the potential of AI to revolutionize Indonesian literature studies through deeper insight and more interactive learning environments. © 2024 IEEE.
Indonesian Literary Studies Program, Universitas Negeri Surabaya, Surabaya, Indonesia; Indonesian Language and Literary Education Studies Program, Universitas Negeri Surabaya, Surabaya, Indonesia; Indonesian Literary Studies Program, Universitas Islam Negeri Sunan Ampel, Surabaya, Indonesia
