Please use this identifier to cite or link to this item:
http://paper.sci.ui.ac.id/jspui/handle/2808.28/46
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Widyaningsih, Yekti | - |
dc.contributor.author | Myers, Wayne L. | - |
dc.contributor.author | Saefuddin, Asep | - |
dc.date.accessioned | 2016-02-25T04:46:22Z | - |
dc.date.available | 2016-02-25T04:46:22Z | - |
dc.date.issued | 2012-07 | - |
dc.identifier.issn | 1412-6702 | - |
dc.identifier.uri | http://paper.sci.ui.ac.id/jspui/handle/2808.28/46 | - |
dc.description.abstract | ORDIT (Ordering Dually in Triangles) is a ranking method based on multi-indicators. The purpose of this research is to study the ORDIT method and to implement this method on poverty or severity data in Jaba Island. The final result of this work is to obtain the ranking of severity in poverty of sub-districts in Java Island based on two indicators. These indicators are number of letters of the poor (surkin) and number health insurances for the poor (askeskin). All variables (indicators) are sub-district level aggregates. Rankings are computed based on ORDIT, implemented in R software. Rankings of the sub-districts based on two indicators are obtained. According to the results, the five most severe sub-districts are Kalisat, Mumbulsari, Bangsalsari, Sumberbaru, and Silo, which is located in Jember district. The least severe sub-districs are Banyuates and Robatal in Sampang district, Kademangan and Wonoasih in Probolinggo city. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | FMIPA Universitas Sebelas maret | en_US |
dc.relation.ispartofseries | Volume 5;No. 2 | - |
dc.source | Jurnal Math-Info Volume 5/No: 2/Juli 2012 Universitas Sebelas Maret | en_US |
dc.subject | Ranking | en_US |
dc.subject | ORDIT | en_US |
dc.subject | R software | en_US |
dc.subject | multiple indicator | en_US |
dc.title | Sub Districts Poverty Level Determination Using Ordering Dually in Triangle (ORDIT) Ranking Method | en_US |
dc.type | Article | en_US |
Appears in Collections: | Journal Collection |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Yekti.Math.Info.2012.pdf | 2,07 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.