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All Journal Coding: Jurnal Komputer dan Aplikasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) JOIV : International Journal on Informatics Visualization JURNAL MEDIA INFORMATIKA BUDIDARMA MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Tanjungpura International Journal on Dynamics Economics, Social Sciences, and Agribusiness (TIJDESSA) Kohesi: Jurnal Sains dan Teknologi Jurnal Multidisiplin Indonesia Mekongga: Jurnal Pengabdian Masyarakat Jurnal Aplikasi dan Riset Informatika
Hafiz Muhardi
Universitas Tanjungpura, Pontianak, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Veterinary Other

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Journal : JOIV : International Journal on Informatics Visualization

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Batik Recognition and Classification Using Transfer Learning and MobileNet Approach Sastypratiwi, Helen; Muhardi, Hafiz; Yulianti, Yulianti
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.2407

Abstract

In the vibrant tapestry of Indonesian culture, Batik motifs stand out as a testament to its enduring artistic heritage. Yet, adapting these intricate patterns, particularly the mesmerizing "insang" featuring fish-like forms, presents a unique challenge for modern applications. Limited datasets and the need for efficient mobile solutions create a bottleneck in accurate motif classification. This research boldly tackles this challenge by proposing a groundbreaking approach: marrying the power of MobileNet architecture, specifically designed for mobile devices, with transfer learning techniques. Transfer learning acts as a bridge, leveraging knowledge from a vast dataset to compensate for limited data specific to Batik. This synergy unlocks remarkable accuracy, with our method achieving a stunning 98% classification rate in under a second on mobile devices. The implications of this breakthrough are far-reaching. It safeguards Batik's legacy by enabling its digital preservation and paves the way for its seamless integration into contemporary design. It is predicted that Batik motifs can adorn digital interfaces, enrich user experiences, and inspire innovative fashion trends. This research is a beacon illuminating the path for Batik to evolve and thrive in the digital age. By empowering mobile devices to recognize and interpret these intricate patterns, it aims to unlock many possibilities. Batik's rich history can be woven into the fabric of modern life, enriching our digital landscapes and fostering a deeper appreciation for this cultural gem. This is not merely a technological feat; it is a celebration of tradition, a bridge between generations, and a testament to the enduring power of creativity.
Co-Authors A. Yani, Dhita Deviacita Al-Abdaliah, Ulfat Anggi Srimurdianti Sukamto Anggi Srimurdianti Sukamto, Anggi Srimurdianti Argo, Hubertus Cahyo Arif Bijaksana Putra Negara Arif Bijaksana Putra Negara Azmi, Amirull Chandra, Eggi Cucu Suhery Desepta Isna Ulumi Desepta Isna Ulumi Dharmawan, Eric Dolly Virgian Shaka Yudha Sakti Dwi Nyoto, Rudi Elang Derdian Marindani Esra Martogi Aprianto Silitonga Eva Faja Ripanti Fajrie Dwi Oktofri Felik, Felik Galih Rizky Fahrezi Gatoto Widodo Guntur, Arifin Sidiq Tunggal Helen Sasty Pratiwi, Helen Sasty Helen Sastypratiwi Helen Sastypratiwi Helen Sastypratiwi Helen Sastypratiwi, Helen Heri Priyanto, Heri Herry Sujaini Herry Sujaini Herry Sujaini Hersyaputra, Mohamad Syazimmi Hirzen Hasfani Ihsan Maulana Ikhwan Ruslianto Islami, Habi Istiyan, Nur Jefri Hasiholan Simanjuntak Kartika Sari Kasliono Mandau, M Yunus Marisa Midyanti, Dwi Maulidya, Nurul Fatimah Mauludin, Rizqi Mega Noveanto Mega Noveanto Muhammad Azhar Irwansyah Muhammad Reza Saputra Muniyati, Evi Fathiyah Nadinda, Dara Nirmala, Irma Novi Safriadi Novi Safriadi Nyoto, Rudi Dwi Pascal Tangkitn Carandas Pratama, Farhan Putra, Rasmi Gumilang Putri, Indira Melinda Rahmi Hidayati Ramadhani Edo Saputra Risqi, Yahya Rita Wahyuni Rudy Dwi Nyoto Rudy Dwi Nyoto, Rudy Dwi Sajid, Fahmi Sari, Dian Aulia Setiawan, Nurul Ivan Sherren Jessica Angelina Sholva, Yus Ss, Renny Wulandari Ss, Renny Wulandari Suhardi Syamsul Bahri Tedy Rismawan Tursina Tursina Tursina Uray Ristian Wahyuni, Mirda Wenewasti, Ignatia Tri Yulianti Yulianti Yulianti Yulianti Yulianti Yulianti Yurida, Nur Harsi Yurida, Nur Harsi