Penerapan Metode OCR dan NLP dalam Aplikasi Transliterasi Aksara Jawa Berbasis Android
Abstract
References
S. A. Nugroho and R. Wulandari, "Pengembangan media pembelajaran aksara Jawa interaktif berbasis multimedia (studi kasus SD Mardi Rahayu 01 Ungaran)," Jurnal Ilmiah Komputer Grafis, vol. 13, 2020.
Abdul Robby, G., Tandra, A., Susanto, I., Harefa, J., & Chowanda, A. (2019). Implementation of optical character recognition using tesseract with the javanese script target in android application. Procedia Computer Science, 157, 499-505.
Sari, C. A., Kuncoro, M. W., Setiadi, D. R. I. M., & Rachmawanto, E. H. (2018). Roundness and eccentricity feature extraction for Javanese handwritten character recognition based on K-nearest
neighbor. In 2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) (pp. 5-10).
M. I. Maulana, "Menurunnya Minat Tulisan Aksara Jawa di Lingkup Mahasiswa," Heuristik: Jurnal Pendidikan Sejarah, vol. 3, no. 2, pp. 62-76, Agustus
Nulis Aksara Jawa. (n.d.). Google Play Store. Retrieved from
https://play.google.com/store/apps/details?id=com.mu hfau.nulisjawa
Nulis Aksara. (n.d.). Google Play Store. Retrieved from https://play.google.com/store/apps/details?id=com.gar nesapps.aksara
Hana. (n.d.). Google Play Store. Retrieved from https://play.google.com/store/apps/details?id=dansvel. hana
R. Hidayatullah, H. C. Nugroho, dan R. Arifin, “Pengenalan Karakter Optikal Aksara Jawa Menggunakan Connectionist Temporal Classification (CTC),” Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 8, no. 1, pp. 171–177, Jan.
, doi: 10.29207/resti.v8i1.5750. https://jurnal.umpwr.ac.id/intek/article/view/5750/241 6
S. Sutarman and E. Yulianto, "Transliterasi Aksara Jawa ke Latin Menggunakan Metode Rule-Based," Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 4, no. 2, pp. 123–130,
https://scholar.google.com/scholar_lookup?title
=Transliterasi+Aksara+Jawa+ke+Latin+Menggunaka n+Metode+Rule-
Based&author=Sutarman&publication_year=2017
C. Shorten and T. M. Khoshgoftaar, "A survey on Image Data Augmentation for Deep Learning," Journal of Big Data, vol. 6, no. 1, pp. 1–48, 2019. https://journalofbigdata.springeropen.com/articles/10. 1186/s40537-019-0197-0
Google DeepMind. (2023). Gemini: Our most capable and general AI model.
Kesaulya, G. N. A., Fariza, A., & Karlita, T. (2022). Javanese Script Text Image Recognition Using Convolutional Neural Networks. In IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding (pp. 534-539). IEEE. https://doi.org/10.1109/IES55876.2022.9888527
"Penerapan Optical Character Recognition untuk Pengenalan Karakter," Jurnal Buana Informatika, vol. 15, no. 1, pp. 69-78, Apr.
https://ojs.uajy.ac.id/index.php/jbi/article/view/ 9159/3521
A. P. Santoso dan R. H. Nugroho, “Pengklasifikasian Aksara Jawa Metode Convolutional Neural Network,” Jurnal Teknologi Informasi dan Sistem Informasi, vol. 8, no. 1, 2020. https://jurnal.mdp.ac.id/index.php/jatisi/article/downl oad/2177/961
T. L. M. Suryanto, W. N. Simarmata, dan A. Faroqi,
"System Usability Scale (SUS) sebagai Metode Pengujian Kegunaan pada Situs Program Studi," Prosiding Seminar Nasional Teknologi Informasi,pp.285–290, 2022.
https://sitasi.upnjatim.ac.id/index.php/sitasi/article/do wnload/314/61
T. W. Ramdhani, I. Budi, dan B. Purwandari, "Optical Character Recognition Engines Performance Comparison in Information Extraction," International Journal of Advanced Computer Science and Applications, vol. 12, no. 8, pp. 120-127, 2021. https://scispace.com/pdf/optical-character-recognition-engines-performance-comparison- 2uucfxppfp.pdf



