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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Teknologi Informasi dan Ilmu Komputer CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Matrix : Jurnal Manajemen Teknologi dan Informatika JURNAL PENGABDI MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer IJISTECH (International Journal Of Information System & Technology) Jurnal Teknologi Informasi dan Multimedia Jurnal Manajemen Informatika dan Sistem Informasi Jurnal SASAK : Desain Visual dan Komunikasi Jurnal Bumigora Information Technology (BITe) Jurnal Pengabdian kepada Masyarakat Nusantara IJISTECH ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat SPEED - Sentra Penelitian Engineering dan Edukasi Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Bakti Sekawan : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Pengabdian dan Inovasi Jurnal Pengabdian Masyarakat Sehati Prosiding Seminar Nasional CORISINDO
Andi Sofyan Anas
Universitas Bumigora
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Klasifikasi Aksara Sasak Menggunakan Convolutional Neural Networks (CNN) Elga Alfariza; Dicksa Ananda Christian Tue; Andi Sofyan Anas; Muhammad Tajuddin; Ahmat Adil
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.623

Abstract

Sasak script is an important cultural heritage for the people of Lombok, but its use is decreasing along with the development of digital technology. This study aims to develop a classification system for Sasak script handwriting using Convolutional Neural Networks (CNN) to improve the accuracy of character recognition. The dataset used consists of handwritten images of 18 basic Sasak script characters collected from 50 volunteers with various writing styles. The methods applied include data preprocessing, augmentation, and training a CNN model with an architecture consisting of several convolutional and pooling layers. The results showed that the model achieved a validation accuracy of 92%, an average precision of 0.91, a recall of 0.89, and an F1-score of 0.90, indicating excellent performance in recognizing Sasak script characters. The conclusion of this study is that the developed system is not only effective in character recognition, but can also function as an interactive learning tool, supporting efforts to preserve Sasak script in the digital era. This research opens up opportunities for further development in the introduction of other traditional scripts.
Co-Authors Abdul Aziz Jabar Abdul Muhid, Abdul Adam Bachtiar Maulachela Agus Pribadi Ahmad Zuli Amrullah Ahmat Adil Akbar Juliansyah Anak Agung Gde Agung Indrawan Ardi, R Fanny Printi Arfa, Muhammad ashari, Lalu Arif Trasna Augustin, Kartarina Azhar, Lalu Zazuli Azhar, Raisul Azkari, Adzan Naufal Cahyablindar, Ayu Danang Tejo Kumoro Darma, I Made Yadi Dedi Febry Rachman Dedy Febry Rahman Deni Rahman Dicksa Ananda Christian Tue Elga Alfariza Fatimatuzahra, Fatimatuzahra Fatimatuzzahra Fatimatuzzahra Fatimatuzzahra Fatimatuzzahra Fatimatuzzahra Gilang Primajati Gilang Primajati Hairani Hairani Hammad, Rifqi Hariyadi, I Putu Hasbullah Hasbullah Hasbullah Hasbullah Hendra Setiawan I Gusti Ayu Sri Devi Gayatri Utami I Made Yadi Dharma Idham Halid Kartarina, Kartarina Khairan marzuki Kurniadin Abd Latif Lalu Ganda Rady Putra Lestari, I Desak Ayu Adhia Lilik Widyawati M. Hidayatullah Maulvi Nurhavizi Miftahul Madani Muh. Adrian Juniarta Hidayat Muhamad Azwar, Muhamad Muhammad Innuddin MUHAMMAD TAJUDDIN Muhammad Zulfikri Nanang Samudra Novian syah Ondi Asroni Pahrul Irfan Phyta Rahima Qudsi, Jihadil Qulub, Mudawil R. Fanny Printi Ardi Raden Fanny Printi Ardi Ria Rismayati Rifqi Hammad Rukmin Ulfa Ayu Lestari Samudra, Nanang Sandi Justitia Putra Santoso, Heroe Sirojul Hadi Solly Aryza Suryati Syahrir, Moch. Syahroni Hidayat Tajuddin, Muhammad Tomi Tri Sujaka Triwijoyo, Bambang Krismono USWATUN HASANAH Uswatun Hasanah Yudistira, Yudha Yusuf, Siti Agrippina Alodia Zainal Abidin Zohriyatun Apriliani Zulkipli Zulkipli