Limbong, Tonni and Ginting, Elpiana Putri Br. and Harianja, Andy Paul and Pakpahan, Sorang (2023) Decision Support System to Determine Eligibility to get Social Assistance Using the Simple Additive Weighting Method. AIP Conference Proceedings, 2798. ISSN 1551-7616
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Abstract
The social welfare of the community is the main goal of the government to build a better country, therefore the government makes social assistance programs in the form of money and basic necessities to the community. In carrying out the program, the government hopes that the program carried out is right on target without any elements of fraud committed by government officials in carrying out their duties. In determining the eligibility for social assistance, an assessment in the form of supporting files is required in accordance with government regulations and criteria set by the Selakkar Village government, Munte District, Karo Regency. Determining the eligibility of recipients of social assistance is one of the problems that is a serious concern of the village government. Therefore we need a decision support system for receiving social assistance in Selakkar Village that is able to assist village officials in determining who deserves social assistance. Support systems aim to enable decision makers to do a lot of computing quickly at low cost. The decision support system method used in determining the eligibility for social assistance is the Simple Additive Weighting (SAW) method. Where the results of this decision support system are in the form of a weighted summation or ranking of potential recipients of social assistance in accordance with the final value of the results obtained. With the establishment of a decision support system for recipients of social assistance, it is hoped that the Selakkar village government will be able to make it easier to determine who is eligible to receive social assistance.
Item Type: | Article |
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Subjects: | Informatika > Decision Support System |
Depositing User: | Tonni Tonni Limbong |
Date Deposited: | 07 Nov 2023 16:01 |
Last Modified: | 08 Nov 2023 00:22 |
URI: | http://eprints.ust.ac.id/id/eprint/20 |