Analisis Model SITR dengan Tes Viral Load Pada Penyebaran Penyakit HIV di Indonesia

Authors

  • Anggita Retno Kristanti Universitas Negeri Malang
  • Vita Kusumasari Universitas Negeri Malang

DOI:

https://doi.org/10.28926/briliant.v11i1.2050

Keywords:

HIV, Mathematical Modelling, SITR, Viral Load Test

Abstract

Human Immunodeficiency Virus (HIV) is a virus that attacks white blood cells in the body. Until now, HIV is still one of the world's health problems. Mathematical models have an important role in understanding the dynamics of a disease epidemic. The purpose of this study is to model and analyze the spread of HIV disease in Indonesia using the SITR model with viral load tests. This model divides the population into four subpopulations, namely Susceptible (S) or subpopulations that are susceptible to contracting the disease, Infected (I) or subpopulations that are infected with HIV, Treatment (T) or subpopulations that are infected with HIV and receive ARV treatment, and Recovery (R) or subpopulations whose viral load test results are suppressed after taking ARV treatment. The model analysis was conducted with model assumptions, parameter estimation, equilibrium point determination, equilibrium point stability analysis, and numerical simulation using Maple18. Based on the analysis, the value of =10,52749285 is obtained, which means that the model is asymptotically stable towards the endemic equilibrium point.

References

A, T., Aggarwal, R., & Raj, Y. A. (2021). A fractional order HIV-TB co-infection model in the presence of exogenous reinfection and recurrent TB. Nonlinear Dynamics, 104(4), 4701–4725. https://doi.org/10.1007/s11071-021-06518-9

Abueldahab, S. M. E., & Mutombo, F. K. (2021). SIR model and HIV/AIDS in Khartoum. OALib, 08(04), 1–10. https://doi.org/10.4236/oalib.1107334.

Afwan, M. I. (2021). Pemodelan matematika penyebaran penyakit covid-19 dengan menggunakan model SIRS. 2.

BPS. (2023). Angka harapan hidup (AHH) menurut provinsi dan jenis kelamin tahun 2022, https://www.bps.go.id/id/statistics-table/2/NTAxIzI=/angka-harapan-hidup-laki-laki--2022.html.

Chandra, T. D., & Roudhotillah, D. (2021). Analisis kestabilan model penyebaran penyakit tuberkulosis dengan menggunakan MSEITR. Jurnal Matematika, 15(2).

Drain, P. K., Dorward, J., Bender, A., Lillis, L., Marinucci, F., Sacks, J., Bershteyn, A., Boyle, D. S., Posner, J. D., & Garrett, N. (2019). Point-of-Care HIV viral load testing: an eessential tool for a sustainable global HIV/AIDS response. Clinical Microbiology Reviews, 32(3), e00097-18. https://doi.org/10.1128/CMR.00097-18.

Faisah, F., Toaha, S., & Kasbawati, K. (2022). Analisis kestabilan model matematika penyebaran penyakit HIV dengan klasifikasi gejala pada oenderita. Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika, 5(2), 106–118. https://doi.org/10.30605/proximal.v5i2.1831

Fatmawati, Khan, M. A., & Odinsyah, H. P. (2020). Fractional model of HIV transmission with awareness effect. Chaos, Solitons & Fractals, 138, 109967. https://doi.org/10.1016/j.chaos.2020.109967.

Gina, P., Kharis, M., & Supriyono. (2017). Pemodelan matematika pada penyebaran penyakit difteri dengan pengaruh karantina dan vaksinasi. UNNES Journal of Mathematics.6 (1).

Kementerian Kesehatan RI. (2019). Laporan perkembangan HIV AIDS & infeksi menular seksual (IMS) 2018. https://siha.kemkes.go.id/portal/files_upload/Laporan_Triwulan_IV_2018.pdf

Kementerian Kesehatan RI. (2023). Laporan HIV AIDS 2022. https://p2p.kemkes.go.id/laporan-tahunan-hiv-aids/.

Lafif, M., Khaloufi, I., Benfatah, Y., Bouyaghroumni, J., Laarabi, H., & Racik, M. (2022). A mathematical SIR model on the spread of infectious diseases considering human immunity. Communications in Mathematical Biology and Neuroscience. https://doi.org/10.28919/cmbn/7552

Mukarromah, S., & Azinar, M. (2021). Penghambat kepatuhan terapi antiretroviral pada orang dengan HIV/AIDS (studi kasus pada ODHA loss to follow up therapy). Indonesian Journal of Public Health and Nutrition, 1(3), 396–406. http://journal.unnes.ac.id/sju/index.php/IJPHN.

Mahuda, I. (2020). Model matematika penyebaran HIV/AIDS pada pengguna narkoba melalui jarum suntik. STATMAT : JURNAL STATISTIKA DAN MATEMATIKA, 2(1), 45. https://doi.org/10.32493/sm.v2i1.4181

Mahuda, I., & Rofiroh, R. (2024). Pemodelan matematika dan analisis kestabilan model pada penyebaran HIV/AIDS tipe SITA (Susceptible, Infected, Treatment, AIDS). JOSTECH Journal of Science and Technology, 4(1), 7–16. https://doi.org/10.15548/jostech.v4i1.8323

Masita, Darmawati, & Fardinah. (2021). Pemodelan matematika SEIqInqR pada penyebaran covid-19. Journal of Mathematics: Theory and Applications, 31–37. https://doi.org/10.31605/jomta.v3i1.1375

Muniroh, M. A., Trisilowati, T., & Kusumawinahyu, W. M. (2022). Analisis dinamik model hepatitis B dengan sirosis hati. Limits: Journal of Mathematics and Its Applications, 19(1), 101. https://doi.org/10.12962/limits.v19i1.11060.

Naik, P. A., Zu, J., & Owolabi, K. M. (2020). Global dynamics of a fractional order model for the transmission of HIV epidemic with optimal control. Chaos, Solitons & Fractals, 138, 109826. https://doi.org/10.1016/j.chaos.2020.109826.

Rana. P., Chaudhary. K., Chauhan. S., Barik. M., & Jha. B. K. (2022). Dynamic analysis of mother-to-child transmission of HIV and antiretroviral treatment as optimal control. Communications in Mathematical Biology and Neuroscience. https://doi.org/10.28919/cmbn/7428.

Sanusi, W., Annas, S., Pratama, Muh. I., Rifandi, Muh., & Irwan. (2021). Analysis and simulation of SIPA model for HIV-AIDS transmission. Journal of Physics: Conference Series, 2123(1), 012013. https://doi.org/10.1088/1742-6596/2123/1/012013.

Side, S., Sanusi, W., & Bohari, N. A. (2021). Pemodelan matematika SEIR penyebaran penyakit pneumonia pada balita dengan pengaruh vaksinasi di Kota Makassar. Journal of Mathematics Computations and Statistics, 4(1), 1. https://doi.org/10.35580/jmathcos.v4i1.20444

Sitorus, R. J., Novrikasari, N., Syakurah, R. A., & Natalia, M. (2021). Efek samping terapi antiretroviral dan kepatuhan berobat penderita HIV/AIDS. Jurnal Kesehatan, 12(3), 389. https://doi.org/10.26630/jk.v12i3.2869.

Solehdin. N., Pati. R., Broyles. L. N., Edgil. D., & Vojnov. L. (2019). considerations for developing a monitoring and evaluation framework for viral load testing. Geneva: World Helath Organization.

Yusnita, E., & Siregar, M. A. P. (2023). Analisis dan simulasi model susceptible infective treatment recovery pada penyebaran penyakit malaria di Kota Medan. Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika, 4(2), 1358–1369. https://doi.org/10.46306/lb.v4i2.407.

Zahwa, N., Nabilla, U., & Nurviana, N. (2022). Model matematika SITR pada penyebaran penyakit tuberculosis di Provinsi Aceh. Jurnal Pendidikan Matematika dan Sains, 10(1), 8–14. https://doi.org/10.21831/jpms.v10i1.50683.

Published

22-02-2026

Issue

Section

Mathematics and Natural Science