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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Main Authors: Mahindarta, Beta Yudha (Author), Wardoyo, Retantyo (Author)
Format: EJournal Article
Published: IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia., 2019-10-31.
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LEADER 02538 am a22003013u 4500
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