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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal SPEKTRUM Jurnal Pendidikan Bahasa dan Sastra Indonesia Undiksha JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Indonesian Journal of Electrical Engineering and Computer Science JAREE (Journal on Advanced Research in Electrical Engineering) Teknika Jurnal Informatika: Jurnal Pengembangan IT
I Ketut Adi Purnawan
Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Journal : Teknika

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Coloring Pekalongan Batik Using a Madura Dataset: A Comparative Study of GAN and Caffe-Based CNN Models Wahyudi, Muhamad Machrus Ali; Kurniawati, Arik; Damayanti, Fitri; Purnawan, I Ketut Adi
Teknika Vol. 13 No. 3 (2024): November 2024
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v13i3.1071

Abstract

Madura Batik, as one of Indonesia's valuable cultural heritages, is known for its unique characteristics involving the use of bright colors such as red, yellow, and green, as well as traditional motifs that often feature elements of nature like flowers, leaves, and animals. Each motif in Madura Batik reflects the rich philosophy, values, and stories of Madura culture. This batik is also famous for its production process, which is largely carried out manually using traditional dyeing techniques. However, with the advancement of technology, there is a growing need to integrate technological innovations into the batik dyeing process without losing its traditional essence. This research combines Generative Adversarial Networks (GAN) models and compares them with Caffe-based pretrained Convolutional Neural Networks (CNN) to create new color variations in Pekalongan batik images. The input for the models is grayscale batik images, which are then processed to generate colorful outputs. The dataset used consists of 519 Madura batik images, with a distribution of 80% for training, 20% for validation, and 10 images for testing. The preprocessing process includes resizing, normalization, and batching to accelerate model convergence. Performance evaluation is conducted using FID, MSE, PSNR, and SSIM metrics. The results show that the GAN model with 100 epochs produces better image quality compared to the Caffe-based pretrained CNN model, particularly in terms of visual and structural similarity. In conclusion, the GAN method offers great potential for innovation in batik coloring without compromising its traditional motifs.
Co-Authors A. A. Made Arta Wijaya A.A. Gede Brampramana Putra Adhi Dharma Wibawa, Adhi Dharma Aditya Bhaskara Gde Sang Altry David Purba Anak Agung Ketut Agung Cahyawan Wiranatha Anak Agung Kompiang Oka Sudana Arik Kurniawati Ayu Wirdiani Clarissa Anindita Desak Made Novita Desy Purnami Singgih Putri Dewa Putu Andre Sanjaya Dwi Rusjayanthi, Dwi Fitri Damayanti G M Arya Sasmita Gede Indra Raditya Martha Gembong Satria Prabowo I Dewa Nym. Nurweda P., I Gede Ferdika Jayusman I Gede Wira Yudha Lesmana I Gusti Ngurah Bagus Picessa Kresna Mandala I ketut Gede Darma Putra I Made Abiyoga Sanjaya I Made Ageng Suyasa I Made Agus Dwi Suarjaya I Made Dony Trisnanjaya I Made Jaya Swastika I Made Saputra Mahardika I Made Sukarsa I Nengah Martha I Nyoman Piarsa I Putu Agung Bayupati I Putu Agus Eka Pratama I Putu Arya Putra Wibawa I Putu Bayupati I Putu Mahendra Pramadhitya I Putu Yudha Ariatmaja I Wayan Ryon Waryanta I Wayan Wendra I Wayan Yoga Wirangga Ida Ayu Sri Diah Sukayanti Imelda Rizky Purba James Kawilarang Joysun Agape Sianturi Kadek Dede Hendra Kusuma Kadek Suar Wibawa Mauridhi Hery Purnomo Muhammad Febrian Rachmadhan Amri Ngurah Padang Adnyana Ni Kadek Rahayu Widya Utami Ni Luh Candra Darmayanti Ni Luh Putri Ari Wedayanti Ni Luh Putu Novi Ambariani Ni Made Ika Marini Mandenni Permana, Yohan Pramana, Made Wahyu Adwitya Putri, Desy Purnami Singgih Putu Ananta Dama Putra Putu Arismawan Jaya Kusuma Putu Wira Buana Putut Rendra Wismawan Riza Afriza Islami Sri Ambar Pratiwi Wahyudi, Muhamad Machrus Ali Wiliem Indy