APLIKASI METODE ADAMS BASHFORTH-MOULTON (ABM) PADA MODEL PENYAKIT KANKER

Cancer is a deadly disease that is characterized by the growth of abnormal cells, the growth is ongoing, forming a tumor. Tumors are divided into two parts, namely benign and malignant tumors. Malignant tumors are a general term for cancer. The disease of cancer has a mathematical model in the form...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Kuzairi Kuzairi, Tony Yulianto, Lilik Safitri
Formato:	article
Lenguaje:	EN
Publicado:	Department of Mathematics, UIN Sunan Ampel Surabaya 2016
Materias:	Cancer Differential Equation System Adams Bashforth-Moulton (ABM) Method Convergence Stability Consistency Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/e7e9109d1b924a5f93ca02dd41fb3089
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e7e9109d1b924a5f93ca02dd41fb3089
record_format	dspace
spelling	oai:doaj.org-article:e7e9109d1b924a5f93ca02dd41fb30892021-12-02T17:36:19ZAPLIKASI METODE ADAMS BASHFORTH-MOULTON (ABM) PADA MODEL PENYAKIT KANKER2527-31592527-3167https://doaj.org/article/e7e9109d1b924a5f93ca02dd41fb30892016-10-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/64https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167Cancer is a deadly disease that is characterized by the growth of abnormal cells, the growth is ongoing, forming a tumor. Tumors are divided into two parts, namely benign and malignant tumors. Malignant tumors are a general term for cancer. The disease of cancer has a mathematical model in the form of a system of differential equations, for it required a method to obtain the solution of the system of differential equations. The method used is the method of numerical methods Bashforth Adams Moulton (ABM) order one, two, three, and four. From the results of this study concluded that the method ABM order three better than the method ABM first order, second order and fourth order at issue models of cancer, It can be seen in the graphic simulation using ABM order three, it shows that increasing time population of immune effector cells (E) and a population of effector molecules (C) increased and then stabilized. The population of immune effector cells (E) stabilized at 33.3336, while the population of the effector molecule (C) is stable in the scope of the numbers 33,333, 33,333 are said to be in scope for changes in population effector molecule (C) can not be known with certainty. While the population of cancer cells (T) remains at 0 at each iteration (stable) remains in a state that is free of cancerKuzairi KuzairiTony YuliantoLilik SafitriDepartment of Mathematics, UIN Sunan Ampel SurabayaarticleCancerDifferential Equation SystemAdams Bashforth-Moulton (ABM) MethodConvergenceStabilityConsistencyMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 2, Iss 1, Pp 14-21 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cancer Differential Equation System Adams Bashforth-Moulton (ABM) Method Convergence Stability Consistency Mathematics QA1-939
spellingShingle	Cancer Differential Equation System Adams Bashforth-Moulton (ABM) Method Convergence Stability Consistency Mathematics QA1-939 Kuzairi Kuzairi Tony Yulianto Lilik Safitri APLIKASI METODE ADAMS BASHFORTH-MOULTON (ABM) PADA MODEL PENYAKIT KANKER
description	Cancer is a deadly disease that is characterized by the growth of abnormal cells, the growth is ongoing, forming a tumor. Tumors are divided into two parts, namely benign and malignant tumors. Malignant tumors are a general term for cancer. The disease of cancer has a mathematical model in the form of a system of differential equations, for it required a method to obtain the solution of the system of differential equations. The method used is the method of numerical methods Bashforth Adams Moulton (ABM) order one, two, three, and four. From the results of this study concluded that the method ABM order three better than the method ABM first order, second order and fourth order at issue models of cancer, It can be seen in the graphic simulation using ABM order three, it shows that increasing time population of immune effector cells (E) and a population of effector molecules (C) increased and then stabilized. The population of immune effector cells (E) stabilized at 33.3336, while the population of the effector molecule (C) is stable in the scope of the numbers 33,333, 33,333 are said to be in scope for changes in population effector molecule (C) can not be known with certainty. While the population of cancer cells (T) remains at 0 at each iteration (stable) remains in a state that is free of cancer
format	article
author	Kuzairi Kuzairi Tony Yulianto Lilik Safitri
author_facet	Kuzairi Kuzairi Tony Yulianto Lilik Safitri
author_sort	Kuzairi Kuzairi
title	APLIKASI METODE ADAMS BASHFORTH-MOULTON (ABM) PADA MODEL PENYAKIT KANKER
title_short	APLIKASI METODE ADAMS BASHFORTH-MOULTON (ABM) PADA MODEL PENYAKIT KANKER
title_full	APLIKASI METODE ADAMS BASHFORTH-MOULTON (ABM) PADA MODEL PENYAKIT KANKER
title_fullStr	APLIKASI METODE ADAMS BASHFORTH-MOULTON (ABM) PADA MODEL PENYAKIT KANKER
title_full_unstemmed	APLIKASI METODE ADAMS BASHFORTH-MOULTON (ABM) PADA MODEL PENYAKIT KANKER
title_sort	aplikasi metode adams bashforth-moulton (abm) pada model penyakit kanker
publisher	Department of Mathematics, UIN Sunan Ampel Surabaya
publishDate	2016
url	https://doaj.org/article/e7e9109d1b924a5f93ca02dd41fb3089
work_keys_str_mv	AT kuzairikuzairi aplikasimetodeadamsbashforthmoultonabmpadamodelpenyakitkanker AT tonyyulianto aplikasimetodeadamsbashforthmoultonabmpadamodelpenyakitkanker AT liliksafitri aplikasimetodeadamsbashforthmoultonabmpadamodelpenyakitkanker
_version_	1718379914619518976

APLIKASI METODE ADAMS BASHFORTH-MOULTON (ABM) PADA MODEL PENYAKIT KANKER

Ejemplares similares