Development of Virtual Lab on Collision Dynamics Learning Object with Collision Algorithm Integration

  • Ade Yusupa Teknik Informatika, Universitas Sam Ratulangi
  • Victor Tarigan Teknik Informatika, Universitas Sam Ratulangi
  • Daniel F. Sengkey Teknik Informatika, Universitas Sam Ratulangi
Keywords: Virtual Lab, Collision Dynamics, Collision Algorithm, Physics Education, Learning Object

Abstract

The objective of this study is to evaluate the efficacy of a Virtual Lab employing a collision algorithm in enhancing students' conceptual comprehension of collision dynamics, in comparison to traditional pedagogical approaches, within the context of physics education.The methodology employed in this study is as follows: The study employed an experimental approach, comprising a comparison between two groups: an experimental class that used the Virtual Lab, and a control class that utilised traditional teaching methods. Both groups were subjected to pre-tests to ascertain their existing level of understanding, after which post-tests were conducted to evaluate their knowledge after the instruction period. An independent t-test was employed to analyse the differences in post-test outcomes between the two groups.The results are as follows: The findings indicated a significant improvement in the experimental class's understanding, with an average increase from the pre-test to the post-test of 33.89%, in comparison to a 30.74% improvement in the control class. The results of the t-test demonstrated a statistically significant difference (t = 4.32, p < 0.05), indicating that the Virtual Lab was more effective in enhancing conceptual comprehension. In conclusion, the Virtual Lab, based on the collision algorithm, has been demonstrated to be an effective tool for teaching collision dynamics, offering a more interactive and engaging experience than traditional methods. This study highlights the potential of technology-based learning tools to enhance physics education and recommends further development of Virtual Labs with interactive features to increase accessibility and understanding in diverse educational environments.

Downloads

Download data is not yet available.

References

D. Galan, R. Heradio, L. de la Torre, S. Dormido, and F. Esquembre, “Virtual Control Labs Experimentation: The Water Tank System,” IFAC-PapersOnLine, vol. 49, no. 6, pp. 87–92, 2016, doi: 10.1016/j.ifacol.2016.07.158.

R. Morales-Menendez, R. A. Ramírez-Mendoza, and A. J. V. Guevara, “Virtual/Remote Labs for Automation Teaching: a Cost Effective Approach,” IFAC-PapersOnLine, vol. 52, no. 9, pp. 266–271, 2019, doi: 10.1016/j.ifacol.2019.08.219.

I. Riwayati, I. Hartati, H. Purwanto, and Suwardiyono, “Pengembangan Model Laboratorium Virtual Sebagai Solusi Keterbatasan Sumber Daya Pembelajaran,” Snast, no. November, pp. 211–216, 2014.

A. Yusupa, “Pengembangan Augmented Reality Marketing (ARM) Menggunakan Algoritma Fast Corner Sebagai Media Promosi Produk Furniture Pelaku Usaha,” J. Inform. Polinema, vol. 10, no. 1, pp. 107–116, Dec. 2023, doi: 10.33795/jip.v10i1.1516.

S. Arianti, I. M. Astra, and E. Budi, “Design of Virtual Physics Laboratory (VPL) on Collision Topic,” J. Phys. Conf. Ser., vol. 2019, no. 1, p. 012017, Oct. 2021, doi: 10.1088/1742-6596/2019/1/012017.

P. Chan, T. Van Gerven, J.-L. Dubois, and K. Bernaerts, “Virtual chemical laboratories: A systematic literature review of research, technologies and instructional design,” Comput. Educ. Open, vol. 2, p. 100053, Dec. 2021, doi: 10.1016/j.caeo.2021.100053.

D. Liu, P. Valdiviezo-Díaz, G. Riofrio, Y.-M. Sun, and R. Barba, “Integration of Virtual Labs into Science E-learning,” Procedia Comput. Sci., vol. 75, no. Vare, pp. 95–102, 2015, doi: 10.1016/j.procs.2015.12.224.

M. Zhuoluo, Y. Liu, and L. Zhao, “Effect of haptic feedback on a virtual lab about friction,” Virtual Real. Intell. Hardw., vol. 1, no. 4, pp. 428–434, Aug. 2019, doi: 10.1016/j.vrih.2019.07.001.

J. van der Graaf, E. Segers, and T. de Jong, “Fostering integration of informational texts and virtual labs during inquiry-based learning,” Contemp. Educ. Psychol., vol. 62, no. June, p. 101890, Jul. 2020, doi: 10.1016/j.cedpsych.2020.101890.

S. Ray, N. R. Koshy, P. J. Reddy, and S. Srivastava, “Virtual Labs in proteomics: New E-learning tools,” J. Proteomics, vol. 75, no. 9, pp. 2515–2525, May 2012, doi: 10.1016/j.jprot.2012.03.014.

K. Saeedabadi, G. Tosello, and M. Calaon, “Optimization of injection molded polymer lab-on-a-chip for acoustic blood plasma separation using virtual design of experiment,” Procedia CIRP, vol. 107, no. March, pp. 40–45, 2022, doi: 10.1016/j.procir.2022.04.007.

R. A. H. Cahyadi, “Pengembangan Bahan Ajar Berbasis Addie Model,” Halaqa Islam. Educ. J., vol. 3, no. 1, pp. 35–42, Jun. 2019, doi: 10.21070/halaqa.v3i1.2124.

W. A. Aeni and A. Yusupa, “Model Media Pembelajaran E-Komik Untuk Sma,” J. Kwangsan, vol. 6, no. 1, p. 43, 2018, doi: 10.31800/jtp.kw.v6n1.p43--59.

F. Rozi and S. Romadhoni, “Media Pembelajaran Sistem Periodik Unsur Berbasis Android dengan Metode Self Directed Learning,” Edu Komputika J., vol. 10, no. 1, pp. 27–37, Jul. 2023, doi: 10.15294/edukomputika.v10i1.61637.

A. S. Milak, E. W. Hidayat, and A. P. Aldya, “Penerapan Artificial Intelligence pada Non Player Character Menggunakan Algoritma Collision Avoidance System dan Random Number Generator pada Game 2D ‘Balap Egrang,’” J. Teknol. Inf. dan Ilmu Komput., vol. 7, no. 5, pp. 985–992, Oct. 2020, doi: 10.25126/jtiik.2020711816.

S. L. R and D. A. Dermawan, “Implementasi Algoritma Collision Detection dan Markov Chain untuk Menentukan Behaviour NPC dan Karakter Player pada Game Higiea,” J. Informatics Comput. Sci., vol. 3, no. 01, pp. 12–19, Jul. 2021, doi: 10.26740/jinacs.v3n01.p12-19.

P. López-Adeva Fernández-Layos and L. F. S. Merchante, “Convex Body Collision Detection Using the Signed Distance Function,” Comput. Des., vol. 170, no. November 2023, p. 103685, May 2024, doi: 10.1016/j.cad.2024.103685.

Published
2025-01-11
How to Cite
[1]
A. Yusupa, V. Tarigan, and D. F. Sengkey, “Development of Virtual Lab on Collision Dynamics Learning Object with Collision Algorithm Integration”, JAIC, vol. 9, no. 1, pp. 44-54, Jan. 2025.
Section
Articles