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All Journal Siber International Journal of Sport Education ARTIFICIAL RESEARCH: Artificial Intelligence and Robotic Journal
Wahyu Kurniadi
Mahasiswa Fakultas Ekonomi Dan Bisnis (Alumni), Universitas Jambi, Indonesia
Computer Science & IT Control & Systems Engineering Education Social Sciences

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Interactive Learning Strategies as a Means of Increasing Motivation to Learn Sports at the Secondary School Level Wahyu Kurniadi
Siber International Journal of Sport Education Vol. 2 No. 2 (2024): (SIJSE) Siber International Journal of Sport Education (October - December 2024
Publisher : Siber Nusantara Review

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Abstract

This study aims to determine the influence of interactive learning strategies on students’ motivation to learn physical education at the senior high school level. Using a quantitative research approach with a survey method, data were collected from 100 students through questionnaires distributed at a public high school in Jambi City. The independent variable in this study was the interactive learning strategy, while the dependent variable was learning motivation in physical education. The data were analyzed using descriptive statistics and simple linear regression. The results showed that interactive learning strategies had a significant positive effect on students’ motivation to learn physical education. The coefficient of determination (R²) was 0.422, indicating that 42.2% of the variation in learning motivation could be explained by the application of interactive learning strategies. These strategies, including group discussions, educational games, and the use of varied media, created an engaging and enjoyable learning atmosphere, which enhanced students’ interest, participation, and enthusiasm. This study emphasizes the importance of interactive teaching methods in fostering student motivation and active involvement in physical education learning.
Enhancing Human-Robot Collaboration through Motion Planning and Adaptive Control Systems Wahyu Kurniadi
ARTIFICIAL RESEARCH: Artificial Intelligence and Robotic Journal Vol. 1 No. 1 (2025): Artificial Intelligence and Robotic Journal (July - Desember 2025)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/artificial.v1i1.10

Abstract

The Human-robot collaboration (HRC) is increasingly becoming a major concern in the development of modern industrial technology. One of the biggest challenges in HRC is to create a system that enables safe, efficient, and adaptive interaction between humans and robots in a dynamic work environment. This article examines the role of motion planning and adaptive control systems in enhancing the effectiveness of such collaboration. By implementing motion planning algorithms that are able to respond in real-time to changes in the environment and human behavior, and adaptive control systems that adjust the robot's response to external inputs, human-robot collaboration can achieve a higher level of synergy. This study presents a modeling and simulation-based approach and case studies of collaboration in the manufacturing and service sectors. The results of the study show that the integration of motion planning and adaptive control not only improves safety and efficiency, but also strengthens the robot's ability to work side by side with humans in a natural way.
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