Pengembangan Sistem Pengenalan Karakter Aksara Suku Simalungun Berbasis Android
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Authors:
Theresia Seftiani Girsang, I Dewa Made Bayu Atmaja Darmawan, Ngurah Agus Sanjaya ER, Anak Agung Istri Ngurah Eka Karyawati, I Putu Gede Hendra Suputra, Cokorda Rai Adi Pramartha
Abstract:
“Simalungun script is the script used by the Simalungun people to communicate with each other in their time. But over time, this character is rarely used. Therefore, the Simalungun script needs special attention because it is already threatened with extinction due to limited data and information. To overcome this, it is necessary to use the role of information technology. In this study, a system was built that can classify and introduce the Simalungun tribal characters using the Android-based Convolutional Neural Network (CNN) method. In addition, in this study, CNN MobileNetV2 and TensorFlow Lite architectures were used for deploying android needs. From the results of the training using the MobileNetV2 architecture by testing 29 characters, the accuracy results are 81% and the test results are 82%. In testing the feasibility of the application, the author uses the concept of usability testing by involving 15 respondents and giving a percentage of 78%.”
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PDF:
https://jurnal.harianregional.com/jlk/full-89097
Published
2022-07-16
How To Cite
GIRSANG, Theresia Seftiani et al. Pengembangan Sistem Pengenalan Karakter Aksara Suku Simalungun Berbasis Android.JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 11, n. 3, p. 617-624, july 2022. ISSN 2654-5101. Available at: https://ojs.unud.ac.id/index.php/JLK/article/view/89097. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/JLK.2023.v11.i03.p18.
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Issue
Vol 11 No 3 (2023): JELIKU Volume 11 No 3, February 2023
Section
Articles
Copyright
This work is licensed under a Creative Commons Attribution 4.0 International License
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