Niko Bagaskara
Universitas Negeri Semarang

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LITERATURE REVIEW : DETEKSI BOLA DENGAN METODE YOLO PADA SEPAK BOLA Rivan Saghita Pratama; Indra Ramadhan; Niko Bagaskara; Vedo Septiano H
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 11 No. 02 (2025): Volume 11 No. 02 Juni 2025 In Order
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v11i02.6419

Abstract

This study explores object recognition in soccer-playing robots using omnidirectional visual sensors and real-time YOLO detection. A systematic literature review of 52 articles (2020–2025) analyzes YOLO's development in robotic soccer. Findings show that robots can detect multiple objects like balls and goals in real-time with high accuracy. Factors such as lighting, object distance, and background complexity affect detection performance. The use of 360-degree cameras enhances the robots' ability to identify objects from all directions, improving their navigation and strategy during matches.
The Correlation Between Screen Time, Sleep Quality, and Physical Fitness Among Grade VII Students Niko Bagaskara; Hijrah Maulidiah Afifah
ACTIVE: Journal of Physical Education, Sport, Health and Recreation Vol. 15 No. 2 (2026)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/active.v15i2.44623

Abstract

This study aims to examine the relationship between screen time and sleep quality as well as physical fitness levels of seventh-grade students at SMP Negeri 1 Semarang. This research employed a quantitative approach with a correlational design. The population consisted of 287 students, and 74 students were selected as the sample using simple random sampling based on the Slovin formula with a 10% margin of error. Data were collected through questionnaires to measure screen time and sleep quality, as well as a physical fitness test to assess students’ fitness levels. Data were analyzed using Pearson Product Moment correlation at a significance level of 0.05. The results indicated a significant relationship between screen time and sleep quality (r = 0.234; p = 0.045) with a low correlation level, and a significant relationship between screen time and physical fitness levels (r = -0.354; p = 0.002) with a moderate correlation level. The coefficient of determination showed that screen time contributed 5.48% to sleep quality and 12.53% to physical fitness levels. Overall, screen time plays a significant role in students’ sleep quality and physical fitness levels.