dc.contributor.author | Maharani, Septya | |
dc.contributor.author | Ridwanto, Holis | |
dc.contributor.author | Hatta, Heliza Rahmania | |
dc.contributor.author | khairina, Dyna Marisa | |
dc.contributor.author | Ibrahim, Muhammad Rivani | |
dc.date.accessioned | 2022-01-17T05:42:53Z | |
dc.date.available | 2022-01-17T05:42:53Z | |
dc.date.issued | 2021-12 | |
dc.identifier.issn | 2252-8938 | |
dc.identifier.uri | http://repository.unmul.ac.id/handle/123456789/12087 | |
dc.description.abstract | House renovation is given by the government to the community, one of which
is the assistance provided in the district. Long Mevery especially Tanah
Abang Village, namely House Renovation Assistance. So, it is necessary to
implement a DSS in determining the recipient of home renovation assistance
by comparing multi-atribute utility theory (MAUT) method and TOPSIS to
assist the government in determining the right home renovation assistance
recipient. There are 16 criteria and their weight values. This study uses the
multi-attribute utility theory (MAUT) method and the order of preference
technique based on the similarity to the ideal solution (TOPSIS) as a
calculation method to produce output and determine the level of accuracy of
each method. The test in this study uses a confusion matrix and compares real
data testing with the results of calculations on the system. The results of
system testing using MAUT and TOPSIS methods, the accuracy of the
MAUT method is 94.28% and the TOPSIS method is 35.71%. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IAES Institute of Advanced Engineering and Science | en_US |
dc.relation.ispartofseries | IAES International Journal of Artificial Intelligence;4 | |
dc.subject | confusion matrix | en_US |
dc.subject | Decision Support System | en_US |
dc.subject | Home Surgery | en_US |
dc.subject | MAUT | en_US |
dc.subject | TOPSIS | en_US |
dc.title | Comparison of TOPSIS and MAUT methods for recipient determination home surgery | en_US |
dc.type | Article | en_US |