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All Journal snimed Tanra : Jurnal Desain Komunikasi Visual Fakultas Seni dan Desain Universitas Negeri Makassar Jurnal Edukasi dan Penelitian Informatika (JEPIN) JOIV : International Journal on Informatics Visualization JUSTIN (Jurnal Sistem dan Teknologi Informasi) Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Informatika Polinema (JIP) Jurnal Multidisiplin Indonesia
Helen Sastypratiwi, Helen
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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 Akmal, Wildan Andriani, Feny Anggi Perwitasari Anggi Srimurdianti Sukamto, Anggi Srimurdianti Anggi Srimurdianto Sukamto, Anggi Srimurdianto Aprillita Dwiyani Arina Nurfianti Butar, All Binardo V B Desti Mawarni, Desti Enda Esyudha Pratama Enda Esyudha Pratama, Enda Esyudha Fatma Agus Setyaningsih Gunawan, Billy Hafiz Muhardi Helfi Nasution Hengky Anra Heri Priyanto, Heri Herry Sujaini Hervica Marsha Valentine, Hervica Marsha Kariman, Ridho Martaleli Bettiza Maulana, Ikhwan Meilani Mega Juita, Meilani Mega Melifa Gardenia, Melifa Milda Surgani Firdania, Milda Surgani Muhammad Azhar Irwansyah Muhammad Insan Kamil, Muhammad Insan Narti Prihartini, Narti Nikentari, Nerfita Novi Safriadi Prakarsa, Pandhe Rahmadani, Dwisuci Rahmah, Ulfatur Raka Umbara, Muhammad Regina Suci Wahyuningtyas, Regina Suci Rudy Dwi Nyoto, Rudy Dwi Siti Hadianti, Siti Suharjono Then, Suharjono Tursina Tursina Yulianti Yulianti Yulianti