Mengajarkan Pemodelan Energi Nuklir Melalui Metode Euler dan Runge-Kutta Sebagai Pendekatan Berbasis Computational Thinking

Authors

  • Sabrina Soraya Anisa Universitas Negeri Jakarta
  • Risma Nurul Azizah Universitas Negeri Jakarta
  • Andini Nurul Fadilah Universitas Negeri Jakarta
  • Salsabila Naira Putri Universitas Negeri Jakarta

Keywords:

Dynamic Modeling, Euler Method, Nuclear Power Generation

Abstract

The advancement of computational technology has significantly contributed to the development of physics, particularly in modeling complex systems such as nuclear power generation. Electricity production in nuclear power plants is highly influenced by the number of active reactors and the dynamic behavior of the fissionprocess. In this study, the dynamics of electricity production are modeled using numerical approaches, specifically the Euler and Runge-Kutta methods, which are effective in solving nonlinear differential equations. Both methods are applied to analyze changes in electrical energy over time in relation to variations in the number of operating reactors. The modeling results indicate a difference in accuracy between the two methods, with the Runge-Kutta method yielding more stable and precise results compared to the Euler method. This activity aims to enhance students' skills in applying computational methods to quantitatively and systematically understand the dynamics of nuclear energy systems.

ABSTRAK

Kemajuan teknologi komputasi telah memberikan kontribusi besar dalam pengembangan ilmu fisika, khususnya dalam pemodelan sistem yang kompleks seperti pembangkitan listrik tenaga nuklir. Produksi listrik pada pembangkit nuklir sangat dipengaruhi oleh jumlah reaktor aktif dan dinamika proses reaksi fisi di dalamnya. Pemodelan dinamika produksi listrik ini dilakukan dengan pendekatan numerik menggunakan metode Euler dan Runge-Kutta, yang mampu menyelesaikan persoalan diferensial non linier secara efisien. Dalam studi ini, kedua metode digunakan untuk menganalisis perubahan energi listrik terhadap waktu berdasarkan perubahan jumlah reaktor aktif. Hasil pemodelan menunjukkan perbedaan tingkat akurasi antara kedua metode, di mana metode Runge-Kutta memberikan hasil yang lebih stabil dan mendekati solusi eksak dibandingkan metode Euler. Kegiatan ini bertujuan untuk melatih kemampuan.

References

Badan Standar, Kurikulum, dan Asesmen Pendidikan Kementerian Pendidikan Dasar dan Menengah Republik Indonesia. (2025). Naskah akademik pembelajaran koding dan kecerdasan artifisial pada pendidikan dasar dan menengah. Pusat Kurikulum dan Pembelajaran & Pusat Standar dan Kebijakan Pendidikan, Kementerian Pendidikan Dasar dan Menengah Republik Indonesia. https://kurikulum.kemendikdasmen.go.id/service/download.php?kategori=rujukan&id=117

Bogheiry, A., Faisal, A. A., & Sunarno, S. (2022). Nuclear energy as environmentally friendly energy and international politics. JPPI (Jurnal Penelitian Pendidikan Indonesia), 8 (2), 488-494. https://doi.org/10.29210/020221356

Fakhrudin, M., Rozi, A., Mahmudi, I., Hanum, M., & Dewi, J. P. Penerapan Energi Nuklir Sebagai Pembangkit Listrik Indonesia Pada Tahun 2035. Jurnal Humanis, 3, 910-16. https://openjournal.unpam.ac.id/index.php/SNH/article/view/31036

Farooq, M. U., Zhang, X., & Ali, M. (2021). Numerical Modeling of Energy Systems for Predictive Planning. Energy Reports, 7, 512–520.

Hussein, E. M. A. (2020). Emerging small modular nuclear power reactors: A critical review. Physics Open, 5, 100038. https://doi.org/10.1016/j.physo.2020.100038

International Atomic Energy Agency (IAEA). (2022). Nuclear Power and the Clean Energy Transition. https://www.iaea.org/bulletin/61-3

Kamruzzaman, M., & Nath, M. C. (2018). A comparative study on numerical solution of initial value problem by using Euler’s method, modified Euler’s method and runge–kutta method. Journal of computer and mathematical sciences, 9 (5), 493-500. https://doi.org/10.29055/jcms/784

Lee, S. T., & Jung, S. M. (2024). Monetizing Environmental Impacts of Nuclear Power: Cost-Benefit Analysis Using Social Cost of Carbon. SAGE Open, 14(4), 21582440241301468. https://doi.org/10.1177/21582440241301468

Osicka, J., & Hrubý, M. (2024). Mega-Challenge: Exploring the Interlinked Barriers to Nuclear Energy Development. Available at SSRN 4978303. https://doi.org/10.2139/ssrn.4978303

Sianturi, A. C., Tarigan, B. S. B., Purba, T. Y., & Sihombing, V. A. B. (2024). Implementasi Metode Euler untuk Penyelesaian Persamaan Diferensial pada Dinamika Populasi. Katalis Pendidikan: Jurnal Ilmu Pendidikan dan Matematika, 1(4), 36-44. https://doi.org/10.62383/katalis.v1i4.854

Soto, G. H., & Martinez-Cobas, X. (2024). Nuclear energy generation's impact on the CO2 emissions and ecological footprint among European Union countries. Science of the Total Environment, 945, 173844. https://doi.org/10.1016/j.scitotenv.2024.173844

World Nuclear Association. (2023). Nuclear Power and the Environment. https://world-nuclear.org/images/articles/performance-report-2023-final.pdf

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Published

2026-10-31