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All Journal ESENSI: JURNAL BISNIS DAN MANAJEMEN AKUNTABILITAS Prosiding Seminar Biologi Interaksi Online Jurnal Akuntansi AKUNESA Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) Register: Jurnal Ilmiah Teknologi Sistem Informasi JURNAL BIOLOGI INDONESIA Jurnal Penelitian Pertanian Terapan Jurnal Pengabdian UntukMu NegeRI JOIV : International Journal on Informatics Visualization Jurnal Penelitian Pendidikan IPA (JPPIPA) JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Jurnal ABDINUS : Jurnal Pengabdian Nusantara JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Untuk Masyarakat Sehat (JUKMAS) JAREE (Journal on Advanced Research in Electrical Engineering) Teknika Sciening : Science Learning Journal EduBiologia: Biological Science and Education Journal Proceeding Biology Education Conference Journal Of World Science Jurnal Aplikasi Bisnis dan Komputer Expensive: Jurnal Akuntansi dan Keuangan Proceeding Seminar Nasional IPA Jurnal Pengabdian Masyarakat dan Riset Pendidikan IJIS Edu : Indonesian Journal of Integrated Science Education Jurnal Akademik Pengabdian Masyarakat Ichsan Sidenreng Rappang Journal of Learning on History and Social Sciences Journal of Higher Education and Academic Advancement
Fitri Damayanti
Faculty of Economic and Business
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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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.
Ancient Javanese Manuscript Reconstruction Using Generative Adversarial Network with StarGAN v2 Variations Wibowo, Kukuh Cokro; Damayanti, Fitri; Abdilqoyyim, Fanky
Teknika Vol. 14 No. 1 (2025): March 2025
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.v14i1.1182

Abstract

Ancient Javanese manuscripts are part of Indonesia's cultural heritage; most of them are usually in bad condition due to the age and environmental surroundings. This paper presents a manuscript reconstruction using the Generative Adversarial Network model, using the variation of StarGAN v2. The primary objective of this research is to assist philologists in reconstructing damaged manuscripts more efficiently, reducing the time and effort compared to manual reconstruction methods. The training for 100 epochs is performed by the model in order to generate the reconstruction image closest to ground truth. This study is done on a dataset that consists of a set of damaged manuscript images. In this dataset, 80% is for training, 20% is for validation, and 10 images are used for testing. Quality assessment will be made on image outputs during training, based on PSNR, SSIM, and LPIPS metrics. The results indicate that the PSNR increases from 16.1234 dB at the 50th epoch to 17.5588 dB at the 100th epoch, while the SSIM increases from 0.8374 to 0.8519, showing a strong improvement in image quality. Despite the LPIPS having a very slight increase from 0.1020 to 0.1051, this evidences that the model can be further improved. Overall, this study demonstrates that the StarGAN v2 model is effective in reconstructing ancient Javanese manuscripts-a great contribution to the field of cultural heritage preservation using modern technology.
Co-Authors Aan Risdiana Abdilqoyyim, Fanky Abdul Rahim Acep Musliman Adawiyah, Asyifa Robiatul Alfarez, Faruq Anas Ansoriah Andri Indrawan Andri Suryana Apriliana, Teguh Firmansyah Ariadi, Deni Arik Kurniawati Arrova Dewi, Deshinta A’ini, Zakiyah Fithah Christiana, Zubaidah Dafa Fahrezi, Nafian Dessy Herlisnawati Dewi Taurusyanti Doni Abdul Fatah Efri Gresinta Fauziah, Farrah Hany Firdaus Firdaus Fitri Minawati Gilang Patria, Asta Giry Marhento Haryani, Rini Hasbullah Hasbullah Hayatunnufus, Gina Hymawati, Hymawati Idang Nurodin Ika Mariska Ika Roostika Jibran, Mohammad Fadel Jupriadi, Jupriadi Kalyana, Dyani Khoiroh, Nisaul Kristiningrum, Kristiningrum Kusharisupeni Kusharisupeni Lana Zulkarnain, Ratna Larashati, Larashati Lintang Ratri Rahmiaji Marda’is Margaretta Serevina Hutagalung Mashitapasha, Revica Maspupah Mohammad Syarief, Mohammad Muhamad Sangaji, Muhamad Naufal Azmi Verdikha Noer, Shafa Nuraeni, Dede Eni Nurul Aisyah Nurul Isnaeni Ochtora, Danesty Oktavia Suzanti, Ika Permana, Yohan Pramana Syah Putra, Arlyan Prasetyo, Nanda David Pratiwi, Rosa Dewi Priyonggo Purba, Christina Purnawan, I Ketut Adi Putra, Erik Perdana Safitri, Vivi Hariyanti Samsurianto Samsurianto Satria Erlangga, Bima Sefudin, Akhmad Setyo B, Gideon Simanullang, Enjel Triastuti Siti Nurul Qomariyah Sri Susanti Sri Trisnaningsih SUDARMAJI SUDARMAJI Sudrajat, Mahdi Suharno Suharno Suharsono Suharsono Sulis Supartini Sumarmia, Sumarmia Suprapto , Yoyon Kusnendar Supriyatin, Titin Tarwana, Wawan Taufik Jatnika Permana Titiek Hendriama, Titiek Tridahus Susanto, Tridahus Tridata, Aldrin Triyono Lukmantoro Ulyat, Ulyatun Fatonah Utami, Cintara Prili Widya Vivian Salsa Bila, Anandita Wahyudi Setiawan Wahyudi, Muhamad Machrus Ali Wibowo, Kukuh Cokro Wijaya, Hari Rachmat Yeni, Dede Yudi Nugraha Bahar Yuniarno , Eko Mulyanto Zania, Firda