Non-Cash Food Aid is a monthly social aid program from government for beneficiary families by electronic account mechanism. This electronic account later has function for this family to buy food materials in grocery stores or e-stores which cooperate with bank. The village heads make proposal about the poor family in their area as beneficiary family for this Non-Cash Food Aid after having observation. However, there is problem for deciding and filtering the data of citizens whether they deserve or not to accept this social aid. Somehow, few of middle class people are included in the data of the poor as beneficiary family. In this case, there is no method to decide the beneficiary of Non-Cash Food Aid. Therefore, the aim of this research is the methods application of Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW). Based on the research result, there is decision support system for Non-Cash Food Aid data by using AHP and SAW method. Based on test result of old and new ranking system with 10 data sampling, there are 9 different data in this ranking system. It happened because the old system calculation only used 1 criterion, monthly income. Meanwhile, new ranking system used all criterions having value and quality
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.