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All Journal JUITA : Jurnal Informatika Jurnal Pengabdian Indonesia
Muhammad Nazir Arifin
Universitas Madura
Humanities Computer Science & IT Education Social Sciences

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Enhanced OCR Recognition for Madurese Text Documents: A Genetic Algorithm Approach with Tesseract 5.5 Muhammad Nazir Arifin; Muhammad Umar Mansyur; Ali Rahman; Nindian Puspa Dewi; Fauzan Prasetyo Eka Putra
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 2, July 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i2.25794

Abstract

Character Recognition (OCR) for the Madurese language using Genetic Algorithms (GA). The study addresses the challenges in processing Madurese text documents by implementing a nine-step image preprocessing workflow optimized through GA. Our methodology combines rescaling, grayscale conversion, adaptive thresholding, deskewing, median blur, Otsu thresholding, border removal, contrast enhancement, and noise reduction, with the sequence determined by GA optimization. The system utilizes Tesseract 5.5 OCR engine configured with Vietnamese language model parameters to accommodate Maderese writing characteristics. Experiments conducted on a dataset of 500 images demonstrated significant improvements in recognition accuracy. The GA-optimized preprocessing sequence achieved a 24.32% Word Error Rate (WER) and 7.47% Character Error Rate (CER), marking substantial improvements over the baseline Tesseract implementation. Further optimization through language model selection, particularly using the Occitan (OCI) model, yielded 100% accuracy in specific test cases. The research also explored various fitness function configurations, with a 0.7:0.3 WER-to-CER ratio proving most effective. These results demonstrate the potential of GA optimization in enhancing OCR performance for regional languages with unique characteristics, contributing to the broader field of document digitization and language preservation
Sosialisasi dan Pelatihan Penggunaan Software Geogebra bagi Guru SD untuk Meningkatkan Pembelajaran Matematika Interaktif Yuliana Trisanti; Agus Subaidi; Latifatul Mamnunah; Dedy Asmaroni; Muhammad Nazir Arifin
Jurnal Pengabdian Indonesia Vol. 3 No. 1 (2025): Desember
Publisher : Indonesian Journal Publisher

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Abstract

Kegiatan sosialisasi dan pelatihan penggunaan software GeoGebra bagi guru sekolah dasar bertujuan untuk meningkatkan kemampuan guru dalam memanfaatkan teknologi pembelajaran berbasis digital, khususnya dalam mengajarkan konsep-konsep matematika secara interaktif, visual, dan menarik. Melalui pelatihan ini, para guru diperkenalkan pada fitur-fitur utama GeoGebra yang dapat digunakan untuk memvisualisasikan konsep geometri, aljabar, dan statistika secara dinamis, sehingga proses pembelajaran menjadi lebih aktif, kreatif, dan menyenangkan bagi siswa. Pendekatan pelatihan meliputi demonstrasi, praktik langsung, dan pembuatan media pembelajaran interaktif menggunakan GeoGebra. Guru didorong untuk berinovasi dalam mendesain aktivitas belajar yang mendorong pemahaman konseptual siswa dan meningkatkan motivasi belajar matematika. Hasil dari kegiatan ini diharapkan meningkatkan kompetensi digital guru, memperkaya variasi media pembelajaran, serta menciptakan suasana kelas yang lebih partisipatif dan berbasis teknologi dalam pembelajaran matematika di sekolah dasar.
Co-Authors Agus Subaidi Ali Rahman Dedy Asmaroni Fauzan Prasetyo Latifatul Mamnunah Muhammad Umar Mansyur Nindian Puspa Dewi Yuliana Trisanti