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All Journal Jurnal Masyarakat Informatika Semantik Techno.Com: Jurnal Teknologi Informasi Bulletin of Electrical Engineering and Informatics JSI: Jurnal Sistem Informasi (E-Journal) JAIS (Journal of Applied Intelligent System) Proceeding SENDI_U Journal of Civil Engineering Jurnal Sains Matematika dan Statistika Journal of Information System JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MANAJEMEN MOTIVASI JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Infotekmesin Abdimasku : Jurnal Pengabdian Masyarakat Publikasi Riset Orientasi Teknik Sipil (Proteksi) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Community: Jurnal Pengabdian Pada Masyarakat Causa: Jurnal Hukum dan Kewarganegaraan Master Manajemen Assoeltan: Indonesian Journal of Community Research and Engagement IJAE Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Pelayanan Unggulan: Jurnal Pengabdian Masyarakat Terapan Jurnal Abdi Negeri
Candra Irawan
Universitas Dian Nuswantoro
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Video classification of Indonesian traditional dance using a hybrid CNN-LSTM model with pose estimation Candra Irawan; Heru Praomono Hadi; Cahaya Jatmoko; Mohamed Doheir
Bulletin of Electrical Engineering and Informatics Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i1.11093

Abstract

The preservation and recognition of traditional Indonesian dances face challenges due to limited digital documentation and declining intergenerational transmission. Manual annotation of dance videos is time-consuming and prone to subjectivity, creating urgency for automated solutions. This study proposes a deep learning-based approach combining convolutional neural networks (CNN) for spatial feature extraction and long short-term memory (LSTM) for temporal modeling to recognize traditional dance movements from video sequences. The system leverages OpenPose for keypoint detection and gesture estimation, enabling frame-wise pose representation prior to classification. A hyperparameter tuning process was applied to optimize the CNN-LSTM architecture using 80% of the dataset for training and 20% for testing. Experimental results show the proposed model achieved a macro accuracy of 98.4%, with perfect precision, recall, and F1-score. This research contributes to cultural heritage digitization and intelligent video analysis by enabling accurate, real-time classification of traditional dances, providing a foundation for future systems in education, archiving, and motion-driven applications.
Co-Authors Adhitya Pradipta Agus Winarno Agus Winarno Alzami, Farrikh Ari Pani Desvina Cahaya Jatmiko Cahaya Jatmoko Castaka Agus Sugianto Cepriadi Christy Atika Sari Dahmiri Deddy Award Widya Laksana Derma S. Gultom Edi Purwanto Eko Hari Rachmawanto Eri Sayamar Erika Devi Udayanti Erika Saputri Estu Ema Apriliana Fajar Agung Nugroho Fajar Sugiyarto Ferdy Kahandanie Ferdy Novri Heru Praomono Hadi I Gusti Putu Raka Jumanto Lalang Erawan Lalang Erawan Mahfud Mahfud MENHARD Mila Sartika Mohamed Doheir Muhammad Joko Umbaran Harris Bahrudin Muhammad Noufal Baihaqi Novi Hendriyanto Pitnelly Pitnelly Priyo Suprobo Pulung Nurtantyo Andono Raisul Umah Nur Roberth Nico Sinaga Sindhu Rakasiwi Siti Zaadah Sri Handayani Suprayogi Suprayogi Widiya N. Rosari Widyatmoko Karis Yanti, Ovie Yupie Kusumawati Yusianto Rindra ZUBIR