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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Bahasa dan Sastra LITE: Jurnal Bahasa, Sastra, dan Budaya EDULITE: Journal of English Education, Literature and Culture Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya Stilistika: Jurnal Pendidikan Bahasa dan Sastra Sutasoma : Jurnal Sastra Jawa Belantika Pendidikan AKSARA: Jurnal Bahasa dan Sastra JISABDA: Jurnal Ilmiah Sastra dan Bahasa Daerah, Serta Pengajarannya International Journal of Multidisciplinary Sciences Riwayat: Educational Journal of History and Humanities Lire Journal (Journal of Linguistics and Literature)
Fateah, Nur
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Optimizing Javanese script recognition using fine-tuned ResNet-18 and transfer learning Fateah, Nur; Subhan, Subhan; Ifriza, Yahya Nur
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp443-453

Abstract

Javanese script, known as Aksara Jawa, is an ancient script used in historical and cultural texts. However, its complex character structure poses challenges for accurate recognition in modern digital applications. This study proposes an optimized classification approach for Aksara Jawa using a fine-tuned ResNet-18 model combined with the Adam optimization algorithm and transfer learning on the Hanacaraka image dataset. By leveraging the residual learning framework of ResNet-18, the model effectively captures deep spatial features of the script while reducing vanishing gradient issues. Fine-tuning is applied to enhance model adaptability, ensuring robust feature extraction specific to Javanese characters. Experimental results demonstrate that the fine-tuned ResNet-18 outperforms conventional deep learning architectures in recognizing Aksara Jawa characters, achieving 93% precision, 91% recall, 91% F1-score, and 91% accuracy. The study further explores the impact of hyperparameter tuning, data augmentation, and dropout regularization on model performance. The findings highlight the effectiveness of transfer learning in resource-limited scenarios, making it a feasible solution for optical character recognition (OCR) applications in Javanese script digitization. This research contributes to the preservation of cultural heritage through advancements in deep learning-based script recognition.
Improving Reading Comprehension Ability of Class X Students at SMK Negeri 7 Semarang Material Unggah-ungguh Basa in Narrative Texts Through Differentiated Learning Rinnjani, Wahyu Tia; Yuliawati, Aida; Fateah, Nur
JISABDA: Jurnal Ilmiah Sastra dan Bahasa Daerah, Serta Pengajarannya Vol 5, No 3: Desember 2024
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jisabda.v5i3.19129

Abstract

The aim of this research is to describe the ability of class Through Javanese learning activities, students are expected to be able to master several skills such as listening, speaking, reading and writing. However, in achieving learning goals, especially in terms of reading comprehension, students often experience difficulties. There are several factors that can influence students in reading comprehension activities, namely the lack of vocabulary that students have so that students tend not to understand and understand the reading material they are reading. Apart from that, another factor is the use of language uploads which are not applied enough in everyday language speech, making students less familiar with them and experiencing many errors in their application. This research uses the classroom action research method or (CAR). The data obtained in this research was collected through observation and student questionnaires. The results of this research show that class
Co-Authors Chumaidah, Dian Ayu Nurul JA, Geovani Lestari, Sri Indah Makrifah, Suci Octaviani, Nur Indah Prembayun Miji Lestari Putriana, Nadia Eka Qohar, Hasan Nur Wakhidul Rinnjani, Wahyu Tia Rismalasari, Dwi Salima, Farah Zahrotus Sartika, Anjar Dwi Septiani, Meli Intan Sri Nuryati Subhan Subhan Sulistyani, Denanda Ekafitri Widhiya Ninsiana, Widhiya Widyastuti, Indah Putri Yahya Nur Ifriza Yordania, Brenzila Rendy Yuliawati, Aida