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All Journal International Journal of Advanced Science Computing and Engineering Jurnal Multidisiplin Indonesia
Hilmi Aziz
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice

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Building Enthusiasm Level Detection Model on Online Learning Using YOLOv11 with Hyperparameter Optimization Hilmi Aziz; Yulianti, Siti; Rianto
International Journal of Advanced Science Computing and Engineering Vol. 7 No. 1 (2025)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.7.1.231

Abstract

This study aims to develop a model for detecting enthusiasm levels in online learning using the YOLOv11 algorithm, enhanced through hyperparameter optimization. Facial expressions serve as crucial indicators in determining enthusiasm, as they reflect the level of attention and interest a learner has toward the material. By increasing the number of interest level categories, the model is expected to provide a more detailed and accurate assessment of student engagement. The dataset used in this research is sourced from FER2013, which initially consists of seven emotion classes. These emotions are reorganized and classified into five enthusiasm levels to represent different levels of interest in learning better. Each level contains 1,000 images, resulting in a dataset of 5,000 images. This dataset was refined from previous studies to enhance its relevance and improve detection performance, making it more suitable for real-world applications. To achieve optimal performance, key hyperparameters, including the number of epochs, batch size, and image size, were fine-tuned. Before optimization, the model demonstrated an average precision (mAP 50-95) of 95.2% with an inference time of 1.7 milliseconds. After hyperparameter tuning, the model’s performance improved significantly, reaching an average precision (mAP 50-95) of 97%. However, this enhancement came with a slight increase in inference time to 3.1 milliseconds. The results highlight that fine-tuning model parameters can enhance detection accuracy while maintaining efficient processing speed, making it highly applicable in educational settings for assessing learner engagement.
Deskripsi Penggunaan Media Cerita Bergambar Pada Pembelajaran di Sekolah Dasar Hilmi Aziz; Dessy Setyowati; Ady Setiawan
Jurnal Multidisiplin Indonesia Vol. 2 No. 3 (2024): September : Jurnal Multidisiplin Indonesia
Publisher : PT. ALHAFI BERKAH INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62007/joumi.v2i3.350

Abstract

Teachers still use the conventional approach (lectures) and lack the use of learning media used in the teaching and learning process. This results in students being less motivated to learn so that there are still many students who are not fluent in reading, some are not paying attention to the teacher when explaining, talking to their classmates, ignoring when the teacher tells them to do assignments. The method used in this research uses a descriptive method with a qualitative approach. This research provides a precise description and explanation of the conditions or symptoms encountered. Data collection technique. The data collection technique used in this research is Document Study. Characteristics of pictorial media: In the first characteristic, the program is equipped with a 2D animation application which can create animated cartoons, interactive animations, games, company profiles, presentations, video clips, movies, web animations and other applications as many as 15 articles out of the 20 articles that have been analyzed, this is shows that the presentation is 75% fulfilled regarding these characteristics. The second characteristic is that the image media program is equipped with interactive buttons with movies or certain objects. 12 articles out of the 20 articles that have been analyzed, show a 60% presentation regarding these characteristics. The third characteristic is that the image media is equipped with a program that can make changes in color transparency, 8 of the 20 articles analyzed showed a percentage of 40% regarding this characteristic. Furthermore, there is a fourth characteristic, namely image media equipped with animation that can follow a predetermined path. The researchers got 11 out of 20 articles which showed a percentage of 55% regarding this characteristic. Furthermore, finally, there are characteristics of flash programs that are equipped with vector-based animation which has flexibility in creating vector objects, 20 of the 20 articles that have been analyzed, this shows that the percentage is 100% fulfilled regarding these characteristics.
Co-Authors Ady Setiawan Rianto Setyowati, Dessy Yulianti, Siti