PENENTUAN MATCHING MAKSIMUM PADA GRAF BIPARTIT BERBOBOT MENGGUNAKAN METODE HUNGARIAN

Matching is a part of graph theory that discuss to make a pair, that can be used to solve many problems; one of them is the assignment problem. The assignment problem is to make a pair problem for n as the employees and for n as the duties, therefore each employee gets one duty, and each duty is giv...

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Main Authors: Muchammad Abrori, Rina Wahyuningsih
Format: Article
Language:English
Published: Muhammadiyah University Press 2012-06-01
Series:Jurnal Ilmiah Teknik Industri
Subjects:
Online Access:http://journals.ums.ac.id/index.php/jiti/article/view/984/678
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author Muchammad Abrori
Rina Wahyuningsih
author_facet Muchammad Abrori
Rina Wahyuningsih
author_sort Muchammad Abrori
collection DOAJ
description Matching is a part of graph theory that discuss to make a pair, that can be used to solve many problems; one of them is the assignment problem. The assignment problem is to make a pair problem for n as the employees and for n as the duties, therefore each employee gets one duty, and each duty is given exactly for each employee. The assignment problem can be solved by determining the matching in weighted bipartite graph through Hungarian Method. It can be determined from the alternating tree of a formed edge. If there is augmenting path, that augmenting path is used to form the more number of matching. If the formed path is alternating path, therefore the process is labeling the new node until finding the augmenting vertices. This matching is called as the perfect matching with the number of maximum weighed side in weighted bipartite graphs. The result matching is the solution for the assignment problem by giving an employee with a duty.
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spelling doaj.art-8644e9c7488b4873b668239bc6ab12ab2022-12-22T00:43:19ZengMuhammadiyah University PressJurnal Ilmiah Teknik Industri1412-68692460-40382012-06-01111921PENENTUAN MATCHING MAKSIMUM PADA GRAF BIPARTIT BERBOBOT MENGGUNAKAN METODE HUNGARIANMuchammad Abrori0Rina Wahyuningsih1Universitas Islam Negeri Sunan Kalijaga, JogjakartaUniversitas Islam Negeri Sunan Kalijaga, JogjakartaMatching is a part of graph theory that discuss to make a pair, that can be used to solve many problems; one of them is the assignment problem. The assignment problem is to make a pair problem for n as the employees and for n as the duties, therefore each employee gets one duty, and each duty is given exactly for each employee. The assignment problem can be solved by determining the matching in weighted bipartite graph through Hungarian Method. It can be determined from the alternating tree of a formed edge. If there is augmenting path, that augmenting path is used to form the more number of matching. If the formed path is alternating path, therefore the process is labeling the new node until finding the augmenting vertices. This matching is called as the perfect matching with the number of maximum weighed side in weighted bipartite graphs. The result matching is the solution for the assignment problem by giving an employee with a duty.http://journals.ums.ac.id/index.php/jiti/article/view/984/678matchinggraphassignment problemHungarian method
spellingShingle Muchammad Abrori
Rina Wahyuningsih
PENENTUAN MATCHING MAKSIMUM PADA GRAF BIPARTIT BERBOBOT MENGGUNAKAN METODE HUNGARIAN
Jurnal Ilmiah Teknik Industri
matching
graph
assignment problem
Hungarian method
title PENENTUAN MATCHING MAKSIMUM PADA GRAF BIPARTIT BERBOBOT MENGGUNAKAN METODE HUNGARIAN
title_full PENENTUAN MATCHING MAKSIMUM PADA GRAF BIPARTIT BERBOBOT MENGGUNAKAN METODE HUNGARIAN
title_fullStr PENENTUAN MATCHING MAKSIMUM PADA GRAF BIPARTIT BERBOBOT MENGGUNAKAN METODE HUNGARIAN
title_full_unstemmed PENENTUAN MATCHING MAKSIMUM PADA GRAF BIPARTIT BERBOBOT MENGGUNAKAN METODE HUNGARIAN
title_short PENENTUAN MATCHING MAKSIMUM PADA GRAF BIPARTIT BERBOBOT MENGGUNAKAN METODE HUNGARIAN
title_sort penentuan matching maksimum pada graf bipartit berbobot menggunakan metode hungarian
topic matching
graph
assignment problem
Hungarian method
url http://journals.ums.ac.id/index.php/jiti/article/view/984/678
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