Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Media Elektrik
Nasirudin Karim, Muh
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Tuning the Alpha Hyperparameter in the Multires U-Net Architecture for Segmentation of Bali Pendet Dance Images Darmawan Bakti, Lalu; Nasirudin Karim, Muh; Imran, Bahtiar
Jurnal Media Elektrik Vol. 23 No. 2 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i2.11944

Abstract

Bali’s traditional Pendet dance represents an important cultural heritage that requires preservation. To support dance recognition, this study applied semantic segmentation to Pendet dance images using the Multires U-Net architecture with alpha hyperparameter tuning. Specifically, three optimization methods Particle Swarm Optimization (PSO), Grid Search, and Random Search were evaluated using the Jaccard Index, Dice Coefficient, and Mean Squared Error (MSE). The results demonstrate that Grid Search produced the optimal alpha value of 1.45, achieving average Jaccard and Dice scores of 98.5002 and 99.2439, respectively. These results outperform previous research (98.4746; 99.2309), PSO (98.4883; 99.2378), and Random Search (98.4837; 99.2352). For MSE, the prior study reported the best score of 7.608E-04, followed by Grid Search (7.659E-04), PSO (7.663E-04), and Random Search (7.765E-04). These findings highlight the effectiveness of Grid Search in optimizing the alpha hyperparameter for the Multires U-Net architecture and demonstrate a significant performance improvement compared to earlier studies.
Co-Authors Darmawan Bakti, Lalu Imran, Bahtiar