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    http://repository.unmul.ac.id/handle/123456789/55540| Title: | Comparison of waspas and vikor methods to determine non-cash food assistance recipients | 
| Authors: | Ramadiani, Ramadiani Fahrozi, Muhammad Luthfi Jundillah, Muhammad Labib Azainil, Azainil | 
| Keywords: | WASPAS method VIKOR method DSS | 
| Issue Date: | 1-Nov-2023 | 
| Publisher: | the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU) | 
| Abstract: | Non-Cash Food Assistance or can be abbreviated as BPNT is a government program of the Republic of Indonesia by distributing non-cash food assistance to beneficiary families. The process of distributing BPNT still needs to be done with the data and criteria set, because the existing BPNT distribution is considered not right on target. We need a method that can help provide an objective decision. One method that can be used in making decisions is the Weighted Aggregated Sum Product Assessment (WASPAS) and Vlsekriterijumsko Koompromisno Rangiranje (VIKOR) methods. The results of the calculations from the two methods will then be chosen which is the best, by conducting sensitivity tests and accuracy tests. This study uses 100 sample data and 16 criteria. The results of the sensitivity test are 9.780678997% for the WASPAS method and -0.0759182% for the VIKOR method, while the results of the accuracy test show that both methods have the same level of accuracy, which is 80%. Based on the comparison of the sensitivity test and accuracy test of the two methods, the WASPAS method is considered more accurate in determining the recipients of the BPNT program because the WASPAS method has a higher sensitivity test value than the VIKOR method. | 
| URI: | http://repository.unmul.ac.id/handle/123456789/55540 | 
| ISSN: | 2089-4872/2252-8938 | 
| Appears in Collections: | A - Computer Sciences and Information Technology | 
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Blueprint Final camera-ready paper 23951_RAMADIANI_protected.pdf | 1.17 MB | Adobe PDF | View/Open | 
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