SIMULASI NUMERIK TUMBUKAN DUA PROYEKTIL DI UDARA

Authors

  • Rohma Yuliani Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada
  • Khalid Saifullah Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada
  • Agus Dwi Purnomo Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada
  • Valerianus Jehadu Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada
  • Sholihun Sholihun Gadjah Mada University

DOI:

https://doi.org/10.22437/jop.v10i3.45624

Keywords:

Simulasi, Gerak Proyektil, Gaya Hambat Udara, Python

Abstract

Penelitian ini menyajikan model komputasi untuk analisis intersepsi proyektil dengan mempertimbangkan gaya hambat udara kuadratik (Fd ∝ ). Persamaan gerak dimodelkan sebagai Persamaan Diferensial Biasa (PDB) dan diselesaikan secara numerik menggunakan metode Runge-Kutta orde 4/5. Sudut peluncuran proyektil penembak dioptimalkan untuk meminimalkan jarak terhadap target menggunakan algoritma optimasi. Hasil menunjukkan model berhasil menentukan sudut peluncuran optimal untuk mencapai intersepsi. Visualisasi mengkonfirmasi lintasan non-parabola yang khas akibat hambatan udara, yang secara signifikan mengurangi jangkauan proyektil. Model ini terbukti menjadi alat analisis yang efektif dan akurat untuk memprediksi lintasan dalam skenario intersepsi yang realistis.

Kata Kunci: Simulasi, Gerak Proyektil, Gaya Hambat Udara, Python

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References

Alam, A. (2023). Leveraging the power of ‘modeling and computer simulation’ for education: An exploration of its potential for improved learning outcomes and enhanced student engagement. In 2023 International Conference on Device Intelligence, Computing and Communication Technologies (DICCT) (pp. 445–450). IEEE. https://doi.org/10.1109/DICCT56244.2023.10110159

Bradshaw, J. L. (2023). Projectile motion with quadratic drag. American Journal of Physics, 91(7), 546-550. https://doi.org/10.1119/5.0095643

Chudinov, P. (2022). Projectile motion in a medium with quadratic drag at constant horizontal wind. European Journal of Physics, 44(1), 015004. https://doi.org/10.1088/1361-6404/ac9628

Hamilton, M. C. B. (2024). A journey in implementing computational physics from the ground up. The Physics Teacher, 62(2), 118-121. https://doi.org/10.1119/5.0096417

Jacobsen, Ø. E. K., Kristoffersen, M., Dey, S., & Børvik, T. (2024). Projectile impact on plain and reinforced concrete slabs. Journal of Dynamic Behavior of Materials, 10(2), 137–159. https://doi.org/10.1007/s40870-023-00379-6

Lui, D. G., Tartaglione, G., Conti, F., De Tommasi, G., & Santini, S. (2023). Long short-term memory-based neural networks for missile maneuvers trajectories prediction. IEEE Access, 11, 30819–30831. https://doi.org/10.1109/ACCESS.2023.3262023

Tang, Y., Liu, Y., Zhang, H., Wang, J., & Li, Y. (2024). Research on projectile trajectory prediction based on improved sparrow search algorithm and regularized kernel extreme learning machine. Journal of Physics: Conference Series, 2791, 012014. https://doi.org/10.1088/1742-6596/2791/1/012014

Tufiño, E., Guallichico, P., Ushino, M., & Zambrano, D. (2025). Design and construction of parabolic motion teaching equipment controlled with an arduino board and a mobile application for the physics laboratory of the ESPE university. Journal of Physics: Conference Series, 2950, 012022. https://doi.org/10.1088/1742-6596/2950/1/012022

Yang, Y., Kim, D., & Choi, D. (2023). Ball tracking and trajectory prediction system for tennis robots. Journal of Computational Design and Engineering, 10(3), 1176–1184. https://doi.org/10.1093/jcde/qwad054

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Published

2025-07-03

How to Cite

Yuliani, R., Saifullah, K., Purnomo, A. D., Jehadu, V., & Sholihun, S. (2025). SIMULASI NUMERIK TUMBUKAN DUA PROYEKTIL DI UDARA. JOURNAL ONLINE OF PHYSICS, 10(3), 55–59. https://doi.org/10.22437/jop.v10i3.45624