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All Journal Gravitasi JAGAT (Jurnal Geografi Aplikasi dan Teknologi) Parameter: Journal of Statistics Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) Jurnal Pepadu Einstein's: Research Journal of Applied Physics
Ida Usman
Jurusan Fisika FMIPA, Universitas Haluoleo, Kendari Jl. H.E.A. Mokodompit, Anduonohu, Kendari, Sulawesi Tenggara 93232
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Journal : Parameter: Journal of Statistics

 1 
BAYESIAN MARKOV CHAIN MONTE CARLO SIMULATION OF NONLIENAR MODEL FOR INFECTIOUS DISEASES WITH QUARANTINE Usman, Ida
Parameter: Journal of Statistics Vol. 3 No. 1 (2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2023.v3.i1.16445

Abstract

The SIQS (Susceptible, Infective, Quarantine, and Susceptible) non-linear model is used to describe the dynamics of infectious diseases, especially optimizing individuals who are quarantined. Discretization of the SIQS model using the Runge-Kutta method and its physical interpretation is very useful if the model parameters can be estimated. Bayesian Markov Chain Monte Carlo for its numerical simulation. After 10,000 iterations, convergent and significant parameters were obtained, namely beta = 94.37, beta0 = -10.19, mu = -0.23 and b = 0.5.
Co-Authors A.A. Ketut Agung Cahyawan W Abdin Andi Tenriawaru Asrul Sani Astuti, Silfia Azharuddin, Muhamad Baharuddin Baharuddin Baharuddin Bahriddin Abapihi Bimasakti Budiman, Herdi Budiman Darise, Marina Evana Putri Eddy, Diana Rakhmawaty Fitriani, Sani Fredinan Yulianda Haryani Imam Supardi Indriasary, Anita Jufri Karim Khairisa, Noor Husna La Aba La Ode Kadidae, La Ode M. Jahiding, M. M.Pd Prof. Dr. I Nyoman Sudiana . Mashuni Muhtar, Deriyanto Mukhsar . Nirmala Nirmala, Nirmala Nur Alfiani Nurgiantoro, Nurgiantoro Ratih Samsusih Rizki Risnawati Risnawati Sahupala, Rahmalia Salihin, Iradat Salihin, Loade Muh. Iradat Sawaludin, Sawaludin Yuyun, Yuyun