Efektifitas Metode Nadir Compromise Programming dalam Menentukan Nilai Optimum Portofolio Saham

Nadir Compromise Programming (NCP) is one of method that can be used to solve multiobjective problem using certain parameter. One of the problem that can be solved by these method is to get the optimum value of stock portfolio. The purpose of this study was to determine on what value of parameter am...

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Main Authors: Wandi Noviyanto, Ni Ketut Tari Tastrawati, Kartika Sari
Format: Article
Language:English
Published: Universitas Udayana 2016-06-01
Series:Jurnal Matematika
Subjects:
Online Access:https://ojs.unud.ac.id/index.php/jmat/article/view/25352
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author Wandi Noviyanto
Ni Ketut Tari Tastrawati
Kartika Sari
author_facet Wandi Noviyanto
Ni Ketut Tari Tastrawati
Kartika Sari
author_sort Wandi Noviyanto
collection DOAJ
description Nadir Compromise Programming (NCP) is one of method that can be used to solve multiobjective problem using certain parameter. One of the problem that can be solved by these method is to get the optimum value of stock portfolio. The purpose of this study was to determine on what value of parameter among six values of parameter, NCP models effective in determining the optimum value of the stock portfolio. The data used in this research was secondary data in the form of daily data from the price of 6 types of stocks from October 2013 to October 2015. In this study, the optimum value of the stock portfolio was calculated by the the NCP model at 6 parameter values, i.e. 1, 10, 100 , 1000, 10000, and 100000. As a result of this study showed that the NCP model effective in determining the optimum value of the stock portfolio on parameter 1.
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spelling doaj.art-24054ed2d5fe408c9c0981e7b01826392022-12-22T00:34:19ZengUniversitas UdayanaJurnal Matematika1693-13942016-06-0161465510.24843/JMAT.2016.v06.i01.p6725352Efektifitas Metode Nadir Compromise Programming dalam Menentukan Nilai Optimum Portofolio SahamWandi Noviyanto0Ni Ketut Tari Tastrawati1Kartika Sari2Jurusan Matematika, Fakultas MIPA – Universitas UdayanaJurusan Matematika, Fakultas MIPA – Universitas UdayanaJurusan Matematika, Fakultas MIPA – Universitas UdayanaNadir Compromise Programming (NCP) is one of method that can be used to solve multiobjective problem using certain parameter. One of the problem that can be solved by these method is to get the optimum value of stock portfolio. The purpose of this study was to determine on what value of parameter among six values of parameter, NCP models effective in determining the optimum value of the stock portfolio. The data used in this research was secondary data in the form of daily data from the price of 6 types of stocks from October 2013 to October 2015. In this study, the optimum value of the stock portfolio was calculated by the the NCP model at 6 parameter values, i.e. 1, 10, 100 , 1000, 10000, and 100000. As a result of this study showed that the NCP model effective in determining the optimum value of the stock portfolio on parameter 1.https://ojs.unud.ac.id/index.php/jmat/article/view/25352Nadir Compromise ProgrammingNCPoptimum value
spellingShingle Wandi Noviyanto
Ni Ketut Tari Tastrawati
Kartika Sari
Efektifitas Metode Nadir Compromise Programming dalam Menentukan Nilai Optimum Portofolio Saham
Jurnal Matematika
Nadir Compromise Programming
NCP
optimum value
title Efektifitas Metode Nadir Compromise Programming dalam Menentukan Nilai Optimum Portofolio Saham
title_full Efektifitas Metode Nadir Compromise Programming dalam Menentukan Nilai Optimum Portofolio Saham
title_fullStr Efektifitas Metode Nadir Compromise Programming dalam Menentukan Nilai Optimum Portofolio Saham
title_full_unstemmed Efektifitas Metode Nadir Compromise Programming dalam Menentukan Nilai Optimum Portofolio Saham
title_short Efektifitas Metode Nadir Compromise Programming dalam Menentukan Nilai Optimum Portofolio Saham
title_sort efektifitas metode nadir compromise programming dalam menentukan nilai optimum portofolio saham
topic Nadir Compromise Programming
NCP
optimum value
url https://ojs.unud.ac.id/index.php/jmat/article/view/25352
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