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All Journal Jurnal Teknologi Informasi dan Pendidikan PENITI BANGSA (Pemanfaatan Ilmu Pengetahuan dan Teknologi bagi Masyarakat)
Pribadi Ikhsan, Teguh
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Pembuatan Media Pembelajaran untuk Anak Menggunakan Assemblr Studio Pribadi Ikhsan, Teguh; Anang Kukuh Adisusilo; Nonot Wisnu Karyanto; Lestari Retnawati; Udik Pudjianto
PENITI BANGSA (Pemanfaatan Ilmu Pengetahuan dan Teknologi bagi Masyarakat) Vol 2 No 2 (2024): PENITI BANGSA
Publisher : Universitas Wijaya Kusuma Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30742/PENITI-BANGSA.v2i22024.414

Abstract

Learning media is an essential component that supports the success of the learning process, as it influences learning activities and collaborates to achieve educational goals. The elementary school teachers at SD Raudlatul Jannah possess a strong potential in mastering information technology, particularly in creating learning media to enhance classroom activities. This community service activity employs the Multimedia Development Lifecycle (MDLC) method, which integrates various media such as images, animations, audio, and video, focusing on multimedia applications. The PkM team conducted six tests to develop learning media using Assemblr Studio based on Augmented Reality. These tests examined how participants could create educational media by following steps like starting a new project, adding objects, incorporating interactions, building scenes, adding text, and publishing the application
Modeling Bedoyo Majapahit Dance Motion Using HMM Emission Families Adisusilo, Anang Kukuh; Wahyuningtyas, Emmy; Pribadi Ikhsan, Teguh
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan (In Press)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1070

Abstract

This study investigates three types of emission families in Hidden Markov Models (HMMs) for reconstructing Bedoyo Majapahit dance motion captured using a markerless system. The recorded skeleton data, consisting of 3,341 frames and 33 joints per frame, were normalized and reduced into a 30-dimensional latent space using Principal Component Analysis (PCA). Three emission variants were evaluated: single-Gaussian HMM, Gaussian-mixture HMM (GMM-HMM), and Multinomial HMM. The evaluation employed a tri-metric scheme consisting of Mean Squared Error (MSE), Dynamic Time Warping (DTW), and Fréchet distance to measure reconstruction fidelity. The experimental results showed that GMM-HMM consistently outperformed the other two models, achieving the lowest reconstruction error and the closest alignment to the original temporal and geometric motion profiles. The Gaussian HMM demonstrated moderate performance but tended to underestimate motion amplitude, while the Multinomial HMM produced the weakest results due to the discretization of continuous pose data. These findings indicate that multimodal emission functions provide a more expressive representation for continuous dance motion. The study highlights the suitability of GMM-HMM for traditional dance preservation through computational modeling and contributes to the development of digital motion archiving for cultural heritage.
Co-Authors Anang Kukuh Adisusilo Emmy Wahyuningtyas Lestari Retnawati Nonot Wisnu Karyanto Udik Pudjianto