Novita, Nuke Eva (2018) Analisis Perilaku Sistem dan Pengendalian Optimal Model Pengobatan Kanker dengan Mengombinasikan Cryosurgery dan Imunoterapi. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kanker adalah penyakit sel dimana fungsi kontrol sel terhadap regulasi daur sel tidak bekerja secara normal. Dengan kondisi tersebut mengakibatkan sel akan terus menerus berproliferasi atau pelipat gandaan sel sehingga menimbulkan pertumbuhan jaringan abnormal. Kanker mempunyai kemungkinan untuk dapat disembuhkan dengan berbagai pengobatan. Pada penelitian ini pengobatan yang dikendalikan adalah kombinasi cryosurgery dan imunoterapi untuk meminimumkan ukuran sel kanker yaitu menambahkan kendali Cr (dosis cryosurgery) dan u (dosis imunoterapi) dengan menggunakan prinsip minimum Pontryagin. Pada simulasi dihasilkan bahwa ukuran sel kanker mengalami penurunan yang optimal saat diberi dosis imunoterapi (u) sebesar 0.0002 Dcs dan cryosurgery (Cr) sebesar 1 mm.
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Cancer is a cell disease in which the function of cell control against regulation of cell cycle does not work normally. With these conditions result in cells will continue proliferating, causing abnormal tissue growth. Cancer has the possibility to be cured with various treatments. In this study the treatment was a combination of cryosurgery and immunotherapy to minimize cancer cell size by adding control Cr (dose of cryosurgery) and u (dose of immunotherapy) using the minimum principle of Pontryagin. In the simulaasi resulted that the size of cancer cells experienced an optimal decrease when given a dose of immunotherapy (u) of 0.0002 Dcs and cryosurgery (Cr) of 1 mm.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Imunoterapi, Cryosurgery, Prinsip Minimum Pontryagin |
Subjects: | R Medicine > RD Surgery R Medicine > RZ Other systems of medicine |
Divisions: | Faculty of Mathematics, Computation, and Data Science > Mathematics > 44201-(S1) Undergraduate Thesis |
Depositing User: | Nuke Eva Novita |
Date Deposited: | 04 Aug 2021 23:45 |
Last Modified: | 04 Aug 2021 23:45 |
URI: | http://repository.its.ac.id/id/eprint/58539 |
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