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All Journal E-Journal Of Cultural Studies Jurnal Pendidikan Seni Rupa RETORIKA: Jurnal Bahasa, Sastra, dan Pengajarannya Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali JURNAL EKSBIS Progress: Jurnal Pendidikan, Akuntansi dan Keuangan Jurnal Pendidikan Sosiologi Undiksha Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Toba: Journal of Tourism, Hospitality, and Destination ASWAJA: Jurnal Pendidikan dan Keislaman Jurnal Informatika: Jurnal Pengembangan IT
Hardiman Hardiman
School of Civil Engineering, Universiti Sains Malaysia USM 14300 Nibong Tebal, Penang, Malaysia
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Pengenalan Pola Aksara Ulu Banyuasin dengan Metode Convolutional Neural Network dan Support Vector Machine Hardiman, Hardiman
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 4 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i4.8793

Abstract

Pattern recognition of script characters is a challenge in digital image processing. This study classifies Ulu Banyuasin script using a combination of Convolutional Neural Network (CNN) and Support Vector Machine (SVM). CNN with the VGG16 architecture is utilized for feature extraction, while classification is performed using Multi-Layer Perceptron (MLP) and SVM. The dataset undergoes preprocessing to enhance data quality. Experimental results indicate that the VGG16-SVM combination achieves an accuracy of 99%, outperforming VGG16-MLP, which attains 93%. The performance of VGG16-SVM demonstrates the effectiveness of SVM in improving accuracy after CNN-based feature extraction. However, the risk of overfitting must be considered. Strategies such as data augmentation, hyperparameter tuning, and regularization can be employed to enhance model generalization. This method has proven effective in recognizing Ulu Banyuasin script and can be applied to other character recognition systems.
Memaknai Ritual Seba Baduy untuk Pariwisata: Bagaimana Budaya Diterjemahkan Ke Wisatawan Hardiman, Hardiman; Arina Nindyar Saraswati; Zam Zam Masrurun; Atika Nur Hidayah
TOBA: Journal of Tourism, Hospitality, and Destination Vol. 4 No. 4 (2025): November 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/toba.v4i4.6730

Abstract

paragraph Cultural tourism is increasingly in demand by tourists looking for authentic and transformative experiences. One of the traditions that has great potential is the Seba Baduy ritual, which is an annual procession of the Baduy people that contains spiritual, social, and ecological values. This research aims to interpret the symbolism in the Seba Baduy ritual and analyze how the culture is translated and perceived by tourists. This study uses a qualitative descriptive design, data collection is carried out by means of observation, interviews, documentation and observational literature studies, in-depth interviews, and literature analysis. The results of the study show that attributes in rituals, such as traditional clothing, travel procedures, and offering processions, are seen as representations of harmony between humans, nature, and ancestors. Tourists interpret this ritual as an authentic cultural experience, which not only offers tourist attractions but also provides a new understanding of local wisdom. In conclusion, Seba Baduy can play a role as a model for the development of cultural tourism that not only provides economic benefits, but also maintains the preservation of customary values. The implication of this research is the importance of collaboration between local communities, governments, and tourism actors to create sustainable promotion and management strategies.
Co-Authors Aj, Andi Meirling Arina Nindyar Saraswati Atika Nur Hidayah Drs. I Wayan Mudana,M.Si. . Firdaus Firdaus Herdiana, Iis I Gede Mudana I Nyoman Darma Putra Indarwati Indarwati Kaharuddin, Mutahharah Nemin Luh Suartini . LUKMAN, LUKMAN Maarif, Didin Samsul Musfira, Musfira Nengah Bawa Atmadja Rediasa, I Nyoman Rismayanti Rismayanti Sahabuddin Hay, Sahabuddin Samuel Jie, Samuel Setiawan, Daniel Tegar , Hayat Utomo, Irawan Adji Cahyo Wahyuddin Wahyuddin Yasa, I Kadek Anggardana Zam Zam Masrurun