An Applied Computer Mathematics Approach to Transliteration: YOLOv8-Based Detection of Harah Jawoe Script

Khairan AR, Hendri Ahmadian, Aesha Durratul Nasihah, Abd Mujahid Hamdan

Abstract


Transliteration of traditional scripts such as Harah Jawoe, a regional variant of Jawi used in Acehnese manuscripts, is essential for preserving and understanding historical texts. While previous studies have focused on isolated character recognition, this research introduces a word-level transliteration approach using the YOLOv8 convolutional neural network (CNN) architecture. A dataset of 9,000 augmented images derived from the Hikayat Aceh manuscript was used to train and evaluate four YOLOv8 variants (small, medium, normal, and big). The results show that the big model achieved the most stable and reliable performance, with a peak mAP50–95 of 72.4% and an accuracy of 99.95%. These findings highlight the model’s capability to handle the structural complexity of Harah Jawoe script at the word level. This study offers a novel contribution by integrating object detection techniques with low-resource script transliteration, with implications for AI-driven cultural preservation and the digital accessibility of Southeast Asian manuscript heritage

Keywords


transliteration; harah jawoe; convolutional neural network; yolo v8

Full Text:

PDF PDF

References


Yusra, M. Fikry, S. Syahfrida, M. Irsyad, And S. Sanjaya, “Aplikasi Android Untuk Alih Aksara Latin Ke Arab Melayu Dengan Pendekatan Berbasis Aturan,” Jurnal Coreit, Vol. 6, No. 2, Pp. 117–121, Dec. 2020.

A. R. Widiarti, R. Pulungan, A. Harjoko, Marsono, And S. Hartati, “A Proposed Model For Javanese Manuscript Images Transliteration,” In Journal Of Physics: Conference Series, Institute Of Physics Publishing, Oct. 2018. Doi: 10.1088/1742-6596/1098/1/012014.

Z. Arifin Nugraha Kantor Bahasa Provinsi Bengkulu, J. Zainul Arifin, K. Timur Indah, K. Singaran Pati, And K. Bengkulu, “Manuscripts And Philological Studies In Indonesia,” 2023. [Online]. Available: Http://Ejournal.Undip.Ac.Id/Index.Php/Culturalistics52

S. Nurrahma Kuswati, “Kegiatan Digitalisasi Naskah Kuno Sebagai Upaya Diseminasi Informasi,” Libria, Vol. 13, No. 1, Pp. 107–129, Jun. 2021.

R. Abdul Ghani, M. Shanudin Zakaria, And K. Omar, “Jawi-Malay Transliteration,” In 2009 International Conference On Electrical Engineering And Informatics, Selangor, Malaysia: UKM, Aug. 2009, Pp. 5–7.

I. Afrianto, R. Riyanda, And S. Atin, “Implementasi Algoritma Freeman Chain Code Dan Support Vector Machine (Svm) Pada Identifikasi Aksara Arab Melayu,” 2018.

Hermansyah, “Manuskrip Aceh: Revitalisa Sikearifan Masyarakat Aceh Di Era Global,” Wacana Etnik, Jurnal Ilmu Sosial Dan Humaniora, Vol. 5, Pp. 25–36, Apr. 2015.

K. F. H. Van Langen, Atjehsche Taal. Woordenboek, 1889. [Online]. Available: Http://Books.Google.Com

B. Yanto, B. Herawan Hayadi, And U. Pasir Pengaraian, “Indentifikasi Pola Aksara Arab Melayu Dengan Jaringan Syaraf Tiruan Convolutional Neural Network (Cnn),” Jsai : Journal Scientific And Applied Informatics, Vol. 3, No. 3, Pp. 106–114, 2020, Doi: 10.36085.

I. Akil And I. Chaidir, “Deteksi Karakter Huruf Arab Dengan Menggunakan Convolutional Neural Network,” Inti Nusa Mandiri, Vol. 15, No. 2, Pp. 183–188, Feb. 2021, Doi: 10.33480/Inti.V15i2.Xxxx.

C. A. Sari, W. S. Sari, P. Mega, And A. Wijayanti, “Pengaruh Linear Binary Pattern (Lbp) Dalam Pengenalan Citra Aksara Jawa Berbasis Optical Character Recognition (Ocr),” 2 St Proceeding Stekom, Vol. 2021, 2022.

S. N. Rahmawati, E. W. Hidayat, And H. Mubarok, “Implementasi Deep Learning Pada Pengenalan Aksara Sunda Menggunakan Metode Convolutional Neural Network,” Insert: Information System And Emerging Technology Journal, Vol. 2, No. 1, 2021.

A. Sani And S. Rahmadinni, “Deteksi Gestur Tangan Berbasis Pengolahan Citra,” Jurnal Rekayasa Elektrika, Vol. 18, No. 2, Jul. 2022, Doi: 10.17529/Jre.V18i2.25147.

D. Marcella And S. Devella, “Klasifikasi Penyakit Mata Menggunakan Convolutional Neural Network Dengan Arsitektur Vgg-19,” Jurnal Algoritme, Vol. 3, No. 1, Pp. 60–70, 2022.

S. Tamang, B. Sen, A. Pradhan, K. Sharma, And V. K. Singh, “Enhancing Covid-19 Safety: Exploring Yolov8 Object Detection For Accurate Face Mask Classification,” International Journal Of Intelligent Systems And Applications In Engineering, Vol. 2023, No. 2, Pp. 892–897, Feb. 2023, [Online]. Available: Www.Ijisae.Org

Khairunnas, E. Mulyanto Yuniarno, And A. Zaini, “Pembuatan Modul Deteksi Objek Manusia Menggunakan Metode Yolo Untuk Mobile Robot,” Jurnal Teknik Its, Vol. 10, No. 1, Pp. 50–55, 2021.

O. Rukundo, “Effects Of Image Size On Deep Learning,” Electronics (Switzerland), Vol. 12, No. 4, Feb. 2023, Doi: 10.3390/Electronics12040985.

A. Rebinth And S. M. Kumar, ““Importance Of Manual Image Annota

M. Nur Et Al., “Klasifikasi Penyakit Mata Berdasarkan Citra Fundus Menggunakan Yolo V8,” 2023.

Y. Ananta, F. Pramudya, M. Munadi, And I. Haryanto, “Perancangan Object Detection Ayam Broiler Menggunakan Metode Deep Learning,” Jurnal Teknik Mesin S-1, Vol. 11, No. 1, Pp. 84–89, 2023.




DOI: http://dx.doi.org/10.30829/zero.v9i1.24174

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Publisher :
Department of Mathematics
Faculty of Science and Technology
Universitas Islam Negeri Sumatera Utara Medan
📱 WhatsApp:085270009767 (Admin Official)
SINTA 2 Google Scholar CrossRef Garuda DOAJ