Claim Missing Document
Check
Articles

Modeling Bedoyo Majapahit Dance Motion Using HMM Emission Families Anang Kukuh Adisusilo; Emmy Wahyuningtyas; Teguh Pribadi Ikhsan
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan
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.
Multiplayer mechanism design for soil tillage serious game Adisusilo, Anang Kukuh; Wahyuningtyas, Emmy; Saurina, Nia; Radi, Radi
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1432.303-313

Abstract

The primary goal of Serious Games is not only for fun but also for lesson. In learning the first stage of soil tillage which using the mouldboard plow, a proper understanding is needed so that the soil tillage process will follow the needs of plant growth. The use of serious games as a study instrument for soil tillage is under the concept of digital game-based learning (DGBL). The problem of players when playing serious games is less motivated to play because the serious game system and scenario are less challenging. That challenges accelerate the shape of knowledge and experience when playing the games (user experience). By referring to the Learning Mechanics Gaming Mechanics (LM-GM) model, which is based on multiplayer in serious games, hopefully the learning process of land management using the mouldboard plow can be optimized. This process can increase learning motivation and elevate the user experience. This research results a design concept of a learning mechanism and a game mechanism for a serious multiplayer game of soil tillage with a mouldboard plow. There are three types of learning mechanisms in conceptual and concrete components, also six types of game mechanisms that can be used as a reference for the formation of multiplayer serious games and the increase player motivation.
Co-Authors ., Vivin Antika Adi Candra Adi Candra, Adi Agung Setyo Fanani Agus Supra Yitno Ahmad Shiddiq, Ahmad ahmad syafi'un nizar Akbar Bayu Kresno Suharso Ali Hadi Anang Adisusilo Anang Kukuh Adisusilo Andya Nova Anjani, Eka Yunita Bagas, Robertus Beny Y.V Nasution Beny Y.V Nasution, Beny Y.V Beny Y.V. Nasution Beny YV Nasution, Beny YV Brian Andreas Sutarto Brian Andreas Sutarto, Brian Andreas Cristie, Hizkia Dafid Ariyanto Danang Setiya Raharja David Refandy Eka Yunita Anjayani Endang Retno Wedowati Firman Hadi Firman Hadi S Pratama, Firman Hadi S Firman Hadi S.P Firman Pratama Fungki Sri Rejeki Fungki Sri Rejeki Gilar dwi Arlingga Putra, Gilar dwi Hadi, Firman Huri, Khotibin Sofyan Atsah Irafan Munthoriq Jimmy Laso M Jimmy Lasso, Jimmy Juliardi, Ferry Khidir Ali Rajabi Lestari Retnawati Lufian Mutiari Marjono, Brigita Tri Maslihah Maslihah Maslihah Moch Anwar Syafii Mohammad Alwin Danendra Muhammad Syamsuddin Munthoriq, Irafan Nahdiar Ariza Haz Ariza Haz, Nahdiar Ariza Haz Nasution, Beny Y. V. Nia Saurina Nonot Wisnu Karyanto Noven Indra Prasetya Nur ‘Azah Pratama, Firman Hadi S Pudjianto, Udik Putra, Kevin Radi Radi Retnawati, Lestari Riza Ari Pratama Riza Ari Pratama, Riza Ari Robertus Bagas Rohman, Moch. Abdul safii, Mohamad anwar safitri mediawati Salsabila, Khanza Firyal Shofiya Syidada Shofiya Syidada Siansi Arga Tantra Siansi Arga Tantra, Siansi Arga Siska farizah mauludiah Sugianto sugiono, eka yudistira Surya, Alvin Syahril Ardi Sylvago, Kevin Chester TATI NURHAYATI Teguh Pribadi Ikhsan Triyoso, Charles udik pudjianto ulfah, maria Untoro, FX. Wisnu Yudo Vivin Antika Wahyu Kristanto Waskito, Johan Paing Heru Wisnu Yudo Untoro