Analysis of Support Vector Machine (SVM) Method and Simple Additive Weighting (SAW) Method in Making Decisions to Choose Specialization

The Specialization of students is a learning based on the interests of students according to learning opportunities that exist in educational units. Providing education in high school education units based on the 2013 curriculum there is a program for determining specialization for high school stude...

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Autores principales:	Stevanny Tamaela, Yopi Andry Lesnussa, Venn Y.I. Ilwaru, Abdul Malik Balami
Formato:	article
Lenguaje:	EN
Publicado:	Department of Mathematics, UIN Sunan Ampel Surabaya 2020
Materias:	2013 curriculum; support vector machine; simple additive weighting Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/8c00ddb4356f43268d9714eb353b7708
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spelling	oai:doaj.org-article:8c00ddb4356f43268d9714eb353b77082021-12-02T17:51:26ZAnalysis of Support Vector Machine (SVM) Method and Simple Additive Weighting (SAW) Method in Making Decisions to Choose Specialization2527-31592527-316710.15642/mantik.2020.6.2.104-113https://doaj.org/article/8c00ddb4356f43268d9714eb353b77082020-10-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/885https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167The Specialization of students is a learning based on the interests of students according to learning opportunities that exist in educational units. Providing education in high school education units based on the 2013 curriculum there is a program for determining specialization for high school students held in class X. Specialization in the 2013 curriculum in high schools is the specialization group for Natural Sciences and Social Sciences. This study uses the Support Vector Machine (SVM) method and the Simple Additive Weighting (SAW) method which aims to compare the accuracy of each method in Decision Making (SPK) specialization program in the Natural Science and Social Sciences at SMA Negeri 1 Ambon. From the research results, the results of the specialization selection from the SAW method differ from the real data, while the results of the SVM method show the same results as the selection of real specialization in SMA Negeri 1 AmbonStevanny TamaelaYopi Andry LesnussaVenn Y.I. IlwaruAbdul Malik BalamiDepartment of Mathematics, UIN Sunan Ampel Surabayaarticle2013 curriculum; support vector machine; simple additive weightingMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 6, Iss 2, Pp 104-113 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	2013 curriculum; support vector machine; simple additive weighting Mathematics QA1-939
spellingShingle	2013 curriculum; support vector machine; simple additive weighting Mathematics QA1-939 Stevanny Tamaela Yopi Andry Lesnussa Venn Y.I. Ilwaru Abdul Malik Balami Analysis of Support Vector Machine (SVM) Method and Simple Additive Weighting (SAW) Method in Making Decisions to Choose Specialization
description	The Specialization of students is a learning based on the interests of students according to learning opportunities that exist in educational units. Providing education in high school education units based on the 2013 curriculum there is a program for determining specialization for high school students held in class X. Specialization in the 2013 curriculum in high schools is the specialization group for Natural Sciences and Social Sciences. This study uses the Support Vector Machine (SVM) method and the Simple Additive Weighting (SAW) method which aims to compare the accuracy of each method in Decision Making (SPK) specialization program in the Natural Science and Social Sciences at SMA Negeri 1 Ambon. From the research results, the results of the specialization selection from the SAW method differ from the real data, while the results of the SVM method show the same results as the selection of real specialization in SMA Negeri 1 Ambon
format	article
author	Stevanny Tamaela Yopi Andry Lesnussa Venn Y.I. Ilwaru Abdul Malik Balami
author_facet	Stevanny Tamaela Yopi Andry Lesnussa Venn Y.I. Ilwaru Abdul Malik Balami
author_sort	Stevanny Tamaela
title	Analysis of Support Vector Machine (SVM) Method and Simple Additive Weighting (SAW) Method in Making Decisions to Choose Specialization
title_short	Analysis of Support Vector Machine (SVM) Method and Simple Additive Weighting (SAW) Method in Making Decisions to Choose Specialization
title_full	Analysis of Support Vector Machine (SVM) Method and Simple Additive Weighting (SAW) Method in Making Decisions to Choose Specialization
title_fullStr	Analysis of Support Vector Machine (SVM) Method and Simple Additive Weighting (SAW) Method in Making Decisions to Choose Specialization
title_full_unstemmed	Analysis of Support Vector Machine (SVM) Method and Simple Additive Weighting (SAW) Method in Making Decisions to Choose Specialization
title_sort	analysis of support vector machine (svm) method and simple additive weighting (saw) method in making decisions to choose specialization
publisher	Department of Mathematics, UIN Sunan Ampel Surabaya
publishDate	2020
url	https://doaj.org/article/8c00ddb4356f43268d9714eb353b7708
work_keys_str_mv	AT stevannytamaela analysisofsupportvectormachinesvmmethodandsimpleadditiveweightingsawmethodinmakingdecisionstochoosespecialization AT yopiandrylesnussa analysisofsupportvectormachinesvmmethodandsimpleadditiveweightingsawmethodinmakingdecisionstochoosespecialization AT vennyiilwaru analysisofsupportvectormachinesvmmethodandsimpleadditiveweightingsawmethodinmakingdecisionstochoosespecialization AT abdulmalikbalami analysisofsupportvectormachinesvmmethodandsimpleadditiveweightingsawmethodinmakingdecisionstochoosespecialization
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Analysis of Support Vector Machine (SVM) Method and Simple Additive Weighting (SAW) Method in Making Decisions to Choose Specialization

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