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All Journal IKRA-ITH EKONOMIKA Jurnal Manajemen dan Bisnis Economics and Digital Business Review Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (JASMIEN) Journal of Applied Data Sciences Berajah Journal Jurnal Manajemen dan Bisnis Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Prosiding Konferensi Nasional PKM-CSR Economic Reviews Journal Journal of Artificial Intelligence and Digital Business Jurnal Multidisiplin Sahombu International Journal of Economics and Management KUKIMA :Kumpulan Karya Ilmiah Manajemen
Silalahi, Donalson
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Journal : Journal of Applied Data Sciences

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Classification of Batak Toba Ulos Motifs Based on Transfer Learning with MobileNetV2 Limbong, Tonni; Simanullang, Gonti; Silitonga, Parasian DP.; Silalahi, Donalson
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.1036

Abstract

Indonesia possesses a rich cultural heritage, including the traditional Batak Toba Ulos textile, which is known for its diverse motifs and deep philosophical meanings. However, the preservation and visual recognition of Ulos remain challenging, particularly in terms of systematic documentation and automated classification. This study presents a visual recognition system for Batak Toba Ulos motifs using a transfer learning approach based on the MobileNetV2 architecture. The methodology involves the construction of a curated dataset of Ulos images, the application of data augmentation and preprocessing techniques, and model training utilizing ImageNet pre-trained weights. The system’s performance was evaluated using accuracy, precision, recall, and F1-score metrics. Results show that the model is capable of accurately classifying all 12 Ulos classes, achieving F1-scores ranging from 0.93 to 0.97. These findings demonstrate that transfer learning is effective in overcoming the limitations of culturally specific, small-scale datasets. This research contributes to the development of artificial intelligence tools for cultural preservation and supports the digital documentation and promotion of Batak Toba Ulos to younger generations and broader audiences in an efficient and scalable manner.
Co-Authors Afnita, Vinda Anitha P. Tinambunan Ansella Thalita Hulu, Ruth Bangun, Dinalorena Br Barus, Adriana Theresia Barus, Clara Silvina Debataraja, Mega Silvia Esli Silalahi Fransiskus , Randa Gea, Jerni Natalia Girsang, Marianus Jhon Libert Girsang, Marianus Jhonlibert Gonti Simanullang Gultom, Metro Gultom, Petra Aprianti Haloho, Befriana Utami Hulu, Ruth Ansella Thalita Hutapea, Putri Wildasari br. Imanuel Tarigan INDRIANI, LAU RENSIA RIRI Karo-Karo, Anastasia F. Kornel Munthe Laoly, Eka Putri Limbong, Sriladepa Lumban Gaol, Romasi Manalu, Asdius Manik, Denada Manjorang, Nesa Repinalia Br Marbun, Patricia Mei Veronika Sri Endang Siagian Nainggolan, Ruminsar Nauli, Harum Nauli, Kembang Ndruru, Devi Sartika Paulina, Sonti Purba, Saut Riko Fridolend Sianturi Sabeth Sembiring Sagala, Roslinda Saragih, Alvyoni SAUT PURBA Sianturi, Sitra Sibagariang, Oktaviana Gracella Br Sigalingging, Maria E. Sihombing, Thomas H Sihombing, Thomas H. Silalahi , Esli Silitonga, Parasian DP. Simanihuruk, Elsa Simanjuntak, Adi Sinaga, Irma Suriyani Sinaga, Ria Veronica Sinambela, Julivacius Gok Asi Sinar Ritonga Sinurat, Indriyani Sipahutar, Robinson Sipangkar, Helena Sirait, Ritawati Siregar, Esra Rapma Sitanggang, Darna Sitanggang, Evi Junita Sitanggang, Lestari Pratiwi Sitohang, Juan Agustino Parulian Sitompul, Pandapotan Situmorang, Hesti Wahyuni Situmorang, Paulina Octavia Tambunan, Putri Handini Tarigan, Miska Irani Tarigan, Miska Irani Br. Theresia Br Barus, Adriana TONNI LIMBONG Trisanti, Ayu