Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/55541
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dc.contributor.authorRamadiani, Ramadiani-
dc.contributor.authorSetiawan, Deni Aris-
dc.contributor.authorJundillah, Muhammad Labib-
dc.contributor.authorAmatullah, Durrotul Hikmah-
dc.contributor.authorAzainil, Azainil-
dc.contributor.authorAgus, Fahrul-
dc.contributor.authorDengen, Nataniel-
dc.contributor.authorPatulak, Ita Merni-
dc.contributor.authorWidians, Joan Angelina-
dc.date.accessioned2023-10-28T09:08:02Z-
dc.date.available2023-10-28T09:08:02Z-
dc.date.issued2023-11-01-
dc.identifier.issnISSN: 1741-8984 Print 1741-8992 Online-
dc.identifier.urihttp://repository.unmul.ac.id/handle/123456789/55541-
dc.description.abstractPoor refers to a state of having little or insufficient material possessions or resources relative to others in a particular society or community. Many factors become the criteria of poverty. These factors were identified and measured using the Rank Order Centroid (ROC) method and Weighted Product (WP) method to decide on prospective beneficiaries’ social assistance of Program Keluarga Harapan (PKH) or the Family Hope Program. There are 8 criteria used in this research; income of the head of the family, number of dependents, occupation, home ownership, vehicle ownership, condition of the house using the Geographical Information system or Global Positioning System (GPS), and having received assistance. The purpose of this study is to facilitate the Samarinda City Social Service in providing appropriate assessments and decisions. The results indicate that the ROC and WP method was successfully applied in decision support systems for the best alternatives with a preference value of 0.000991677.en_US
dc.language.isoenen_US
dc.publisherMigration Lettersen_US
dc.subjectPKHen_US
dc.subjectDecision Support Systemen_US
dc.subjectROCen_US
dc.subjectWPen_US
dc.titleDecision System for Beneficiaries of the Family Hope Program Using the Rank Order Centroid Method and Weighted Product Methoden_US
dc.typeArticleen_US
Appears in Collections:J - Computer Sciences and Information Technology

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