Group Decision Support System Using The Analytic Network Process and Borda Methods for Selecting
The amount of land for the current location of housing development has resulted in developers choosing the location of housing development regardless of the condition of the land, infrastructure, socio-economic. To overcome this problem a computer system is needed in the form of a GDSS that can assi...
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Format: | EJournal Article |
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IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.,
2019-10-31.
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LEADER | 02538 am a22003013u 4500 | ||
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001 | IJCSS_47219 | ||
042 | |a dc | ||
100 | 1 | 0 | |a Mahindarta, Beta Yudha |e author |
100 | 1 | 0 | |e contributor |
700 | 1 | 0 | |a Wardoyo, Retantyo |e author |
245 | 0 | 0 | |a Group Decision Support System Using The Analytic Network Process and Borda Methods for Selecting |
260 | |b IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia., |c 2019-10-31. | ||
500 | |a https://jurnal.ugm.ac.id/ijccs/article/view/47219 | ||
520 | |a The amount of land for the current location of housing development has resulted in developers choosing the location of housing development regardless of the condition of the land, infrastructure, socio-economic. To overcome this problem a computer system is needed in the form of a GDSS that can assist in the selection of Housing Development Locations.This study aims to implement a GDSS with ANP and Borda methods to determine the selection of the right and fast housing development location. GDSS is needed because there are 3 Individual Decision Makers, DM-1 assessing based on Land Conditions, DM-2 assessing Infrastructure-based, DM-3 assess the Socio-Economic and Decision Maker based groups to make the final decision. The ANP method is used to weight the criteria from each alternative location, to the alternative ranking of housing construction locations for each individual Decision Maker. The Borda method is used to combine the results of ranking carried out by the Group Decision Maker so that it gets the final ranking as a determinant of the Location of Housing Development.The final result of this research is a decision support system that can help developers to get a priority recommendation according to the needs of the developer. | ||
540 | |a Copyright (c) 2019 IJCCS (Indonesian Journal of Computing and Cybernetics Systems) | ||
540 | |a http://creativecommons.org/licenses/by-sa/4.0 | ||
546 | |a eng | ||
690 | |a computer science | ||
690 | |a GDSS; Housing; ANP; BORDA | ||
655 | 7 | |a info:eu-repo/semantics/article |2 local | |
655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
655 | 7 | |2 local | |
786 | 0 | |n IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 13, No 4 (2019): October; 333-344 | |
786 | 0 | |n 2460-7258 | |
786 | 0 | |n 1978-1520 | |
787 | 0 | |n https://jurnal.ugm.ac.id/ijccs/article/view/47219/25995 | |
856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/47219 |z Get Fulltext |
856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/47219/25995 |z Get Fulltext |