{"title":"基于熵权的PROMETHEE法评价社会救助受助人的贫困社会","authors":"M. Wati, BambangEkoHari Cahyono, M. Firdaus","doi":"10.1109/EIConCIT.2018.8878646","DOIUrl":null,"url":null,"abstract":"The government efforts to reduce society poverty rate by carrying out various programs in order to fulfill the basic needs of citizens properly and improve the socio-economic welfare of the poor to reach a prosperous Indonesian society. One such program is a social assistance program for poverty society. To reduce the risk of distributing aid that is not on target, it becomes very important for decision makers to determine citizens who are the priority of beneficiaries according to the applicable criteria. There are various Multi-Criteria Decision-Making (MCDM) methods that can be used in decision-making problems that involve many criteria. This paper tries to apply the PROMETHEE method in evaluating the advisability of the citizens' condition to receive government assistance with the weighting criteria based on entropy weight. There are six criteria used, namely, age, sex, education level, main occupation, skills, and marital status. The result showed that the determination of the feasibility of citizens as recipients of government assistance using entropy weight in PROMETHEE method which its output is the priority ranking of the alternative has an accuracy rate is 80.39 percent. The result of this research can be used to help a decision-maker to decide who are eligible for receiving the assistance government.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Evaluation of Poverty Society for Social Assistance Recipients using PROMETHEE Method Based on Entropy Weight\",\"authors\":\"M. Wati, BambangEkoHari Cahyono, M. Firdaus\",\"doi\":\"10.1109/EIConCIT.2018.8878646\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The government efforts to reduce society poverty rate by carrying out various programs in order to fulfill the basic needs of citizens properly and improve the socio-economic welfare of the poor to reach a prosperous Indonesian society. One such program is a social assistance program for poverty society. To reduce the risk of distributing aid that is not on target, it becomes very important for decision makers to determine citizens who are the priority of beneficiaries according to the applicable criteria. There are various Multi-Criteria Decision-Making (MCDM) methods that can be used in decision-making problems that involve many criteria. This paper tries to apply the PROMETHEE method in evaluating the advisability of the citizens' condition to receive government assistance with the weighting criteria based on entropy weight. There are six criteria used, namely, age, sex, education level, main occupation, skills, and marital status. The result showed that the determination of the feasibility of citizens as recipients of government assistance using entropy weight in PROMETHEE method which its output is the priority ranking of the alternative has an accuracy rate is 80.39 percent. The result of this research can be used to help a decision-maker to decide who are eligible for receiving the assistance government.\",\"PeriodicalId\":424909,\"journal\":{\"name\":\"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIConCIT.2018.8878646\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIConCIT.2018.8878646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of Poverty Society for Social Assistance Recipients using PROMETHEE Method Based on Entropy Weight
The government efforts to reduce society poverty rate by carrying out various programs in order to fulfill the basic needs of citizens properly and improve the socio-economic welfare of the poor to reach a prosperous Indonesian society. One such program is a social assistance program for poverty society. To reduce the risk of distributing aid that is not on target, it becomes very important for decision makers to determine citizens who are the priority of beneficiaries according to the applicable criteria. There are various Multi-Criteria Decision-Making (MCDM) methods that can be used in decision-making problems that involve many criteria. This paper tries to apply the PROMETHEE method in evaluating the advisability of the citizens' condition to receive government assistance with the weighting criteria based on entropy weight. There are six criteria used, namely, age, sex, education level, main occupation, skills, and marital status. The result showed that the determination of the feasibility of citizens as recipients of government assistance using entropy weight in PROMETHEE method which its output is the priority ranking of the alternative has an accuracy rate is 80.39 percent. The result of this research can be used to help a decision-maker to decide who are eligible for receiving the assistance government.