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All Journal Limits: Journal of Mathematics and Its Applications
Windarto
Departemen Matematika, Universitas Airlangga, Surabaya Indonesia
Computer Science & IT Mathematics

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Pendekatan Numerik pada Model Penyebaran SARS dengan Method of Lines Patria Arif Bijaksana; Windarto; Fatmawati
Limits: Journal of Mathematics and Its Applications Vol. 15 No. 1 (2018): Limits: Journal of Mathematics and Its Applications Volume 15 Nomor1 Edisi Mar
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

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Pada paper ini dikaji pendekatan numerik model matematika penyebaran SARS dengan adanya suku difusi. Suku difusi pada model tersebut mengilustrasikan penyebaran SARS berdasarkan lokasi. Solusi numerik dilakukan dengan menggunakan Method of Lines. Selanjutnya dibandingkan hasil simulasi numerik antara model penyebaran SARS tanpa suku difusi dan dengan adanya suku difusi. Hasil simulasi dari model penyebaran penyakit SARS tanpa suku difusi hanya menunjukkan terjadinya penyebaran SARS secara periodik waktu. Berdasarkan hasil simulasi pada model SARS dengan adanya suku difusi dapat diketahui bahwa penyebaran SARS dapat ditinjau dari titik awal penyebaran SARS secara spasial dan juga perodik waktu. Lebih lanjut, dari hasil simulasi menunjukkan bahwa semakin jauh dari pusat penyebaran SARS, laju penyebaran penyakit SARS akan semakin kecil
Analisis Kestabilan dan Kontrol Optimal pada Model Matematika Penyebaran Penyakit Mumps Miswanto; Farah Biba; Windarto
Limits: Journal of Mathematics and Its Applications Vol. 21 No. 1 (2024): Limits: Journal of Mathematics and Its Applications Volume 21 Nomor 1 Edisi Ma
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

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Mumps is an acute disease in children and adults, caused by paramyxovirus. In this thesis, a mathematical model analysis of the spread of mumps disease was carried out and the application of optimal control, namely prevention by giving vaccinations and treatment. Based on the analysis of the model without control obtained a non-endemic equilibrium point and an endemic equilibrium point. The non-endemic equilibrium point is local asymptotic stable if the basic reproduction number is less than one while the endemic equilibrium point tends to be local asymptotic stable if the basic reproduction number is more than one . Optimal control on the mathematical model of the spread of mumps disease was carried out using the Pontryagin’s Maximum Principle. The results of numerical simulations show that the provision of control, namely prevention and treatment, is simultaneously considered the most effective and efficient to minimize the number of individual populations infected with mumps disease with minimum cost.
Co-Authors Farah Biba Fatmawati Miswanto Patria Arif Bijaksana