Dari Tradisi ke Ekosistem Digital: Pemanfaatan AI Berbasis Deep Learning sebagai Instrumen Pelestarian Bahasa Daerah dalam Pembelajaran Bahasa Indonesia

Abstract

The use of deep learning-based Artificial Intelligence (AI) in education offers new opportunities to support the preservation of regional languages through digital technology. However, the extent to which students utilize AI applications focused on regional languages varies. This study aims to describe the use of Big Translator a deep learning-based AI as a tool for regional language preservation within the context of Indonesian language learning. A qualitative, descriptive research approach was employed. The study involved third-semester students from the Indonesian Language and Literature Education Study Program at the Faculty of Teacher Training and Education, Universitas Muhammadiyah Mataram. Data were collected through observation, semi-structured interviews, and documentation. Informants were selected using purposive sampling, and data analysis followed the Miles, Huberman, and Saldaña model, comprising data condensation, data display, and conclusion drawing and verification. The results indicate that out of 67 students, 22 were familiar with Big Translator, while 45 predominantly used Google Translate. Students who utilized Big Translator used it to translate regional language vocabulary, understand the meanings of words and expressions, and assist with coursework assignments. Big Translator was perceived as facilitating the learning of regional languages, specifically Sasak, Bima, and Sumbawa. Nevertheless, the study identified challenges, such as limited regional language vocabulary and translation results that were not always accurate. The study concludes that Big Translator holds potential as an AI-based learning tool that supports regional language preservation; however, its utilization requires broader awareness-raising as well as the further develop