Analisis dan Simulasi Model Matematika SIRC pada Dinamika Penyakit Diabetes Mellitus dengan Komplikasi

  • Awawin Mustana Rohmah Universitas Islam darul Ulum Lamongan
  • Alvina Wiliyanti Universitas Islam Darul Ulum Lamongan
  • Mohammad Syaiful Pradana Universitas Islam Darul Ulum Lamongan
  • Siti Alfiatur Rohmaniah Universitas Islam Darul Ulum Lamongan
  • Rifky Ardhana Kisno Saputra Universitas Islam Darul Ulum Lamongan
Keywords: SIRC Model, Basic Reproduction Number, Diabetes Mellitus

Abstract

Diabetes is a global health problem with a continuously increasing prevalence, adversely affecting quality of life and increasing the risk of health complications. This study applies the SIRC mathematical model to describe the temporal dynamics of diabetes, with model parameters calibrated using recent data. System stability is analyzed using the Jacobian method to determine equilibrium points and system behavior. The results indicate a high incidence of disease and complications, while the recovery rate remains relatively low. The basic reproduction number (R₀) of 1.6483 suggests that the disease still has the potential to spread. Furthermore, the equilibrium point E₁ is found to be unstable due to the presence of positive eigenvalues. This study provides important insights into diabetes dynamics that may support effective health management strategies.

References

[1] Rohmah, Awawin Mustana; rifky ardhana, “Pengendalian Optimal Model Penyakit,” J. Ilm. Teknosains, vol. 5, no. 2, pp. 117–121, 2019.
[2] R. Febriyanti, B. Prihandono, and M. Kiftiah, “Analisis Dinamik Model SIRC pada Transmisi Hepatitis B dengan Sirosis Hati,” EULER J. Ilm. Mat. Sains dan Teknol., vol. 11, no. 2, 2023.
[3] A. M. ; Rohmah and D. Rahmalia, “SEIR model simulation on the spreading of Ebola virus between two regions,” J. Phys. Conf. Ser., vol. 1, 2021.
[4] S. Syafruddin, W. Sanusi, and N. A. Bohari, “Pemodelan Matematika SEIR Penyebaran Penyakit Pneumonia pada Balita dengan Pengaruh Vaksinasi di Kota Makassar,” JMathCos (Journal Math. Comput. Stat., vol. 4, no. 1, 2021.
[5] N. Suniantara, I. G. N. G. A., Gunantara and M. Sudarma, “Analisis Penyebaran COVID-19 Menggunakan Model SIR (Susceptible, Infected, Recovered) di Provinsi Bali,” J. Mat., vol. 9, no. 2, 2023.
[6] A. M. Rohmah and D. Rahmalia, “Penyelesaian positif model penyebaran virus ebola antar dua wilayah,” J. Mat. Univ. Udayana, vol. 2, no. 10, pp. 44–52, 2020.
[7] F. A. Kusumo, N. . Susyanto, I. Endrayanto, and A. Tameliala, “Model Berbasis SIR dalam Prediksi Awal Penyebaran COVID-19 di Daerah Istimewa Yogyakarta (DIY),” J. Mat. Thales, vol. 2, no. 1, 2020.
[8] D. Rahmalia and A. M. Rohmah, “Optimal control and sensitivity analysis of infectious disease spread in two regions using quarantine and treatment,” in AIP Conference Proceedings, AIP Publishing LLC, 2022, p. 020017.
Published
2025-12-31
How to Cite
Rohmah, A., Wiliyanti, A., Pradana, M., Rohmaniah, S., & Saputra, R. A. (2025). Analisis dan Simulasi Model Matematika SIRC pada Dinamika Penyakit Diabetes Mellitus dengan Komplikasi. UJMC (Unisda Journal of Mathematics and Computer Science), 11(2), 83-91. https://doi.org/https://doi.org/10.52166/ujmc.v11i2.12276

Most read articles by the same author(s)