The Deep Learning Approach Using the SundaDigi Application in Teaching Sundanese Script Writing: An ADDIE Model Development Study
DOI:
https://doi.org/10.17977/um065.v6.i12.2026.4Keywords:
ADDIE model, Deep learning, Digital application, Sundanese script, Writing instructionAbstract
Sundanese script (aksara Sunda) is a compulsory local-content subject in West Java senior high schools. However, many students struggle to master it, particularly in demographically heterogeneous cities such as Bekasi, where most learners are not native Sundanese speakers. This study aimed to develop and test a Deep Learning approach supported by the SundaDigi digital application for teaching Sundanese script writing to Grade X students. A research and development design based on the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) was employed at SMAN 2 Tambun Selatan during the 2025/2026 academic year. Needs were identified through interviews and classroom observation, after which a Deep Learning teaching syntax integrating SundaDigi's automatic Latin-to-Sundanese transliteration feature was designed and developed. An experimental class received the Deep Learning-SundaDigi approach, while a control class received conventional instruction. A writing test (pretest-posttest) was scored using a mindful-meaningful-joyful-technical rubric, and a motivation questionnaire was administered; data were analyzed using an independent-samples t-test following tests of normality and homogeneity. The needs analysis showed that students struggled to apply diacritical marks (rarangkén) and to distinguish the vowels /é/, /e/, and /eu/, compounded by low motivation. The post-test comparison showed a statistically significant difference between the experimental and control groups (t = -2.564, df = 37.500, Sig. 2-tailed = 0.014). The findings indicate that a technology-assisted, culturally grounded Deep Learning approach yields a measurable, significant difference in Sundanese script-writing outcomes compared with conventional instruction, offering a viable alternative for linguistically diverse classrooms.References
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