SISTEM PENDUKUNG KEPUTUSAN PENERIMA PROGRAM KELUARGA HARAPAN (PKH) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

Fahriza, Fariz Sidik (2023) SISTEM PENDUKUNG KEPUTUSAN PENERIMA PROGRAM KELUARGA HARAPAN (PKH) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW). Skripsi thesis, Universitas Muhammadiyah Sukabumi.

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Abstract

One of the government's programs in tackling poverty, in order to improve human resources and improve the welfare of poor families is the Family Hope Program (PKH). However, the implementation is not yet fully optimal. The problem in distributing PKH assistance is that the number of residents who must be selected to meet the limited quota of PKH participants makes it difficult for officers to select residents who are entitled to receive PKH. Sometimes there are families who deserve assistance but do not receive assistance so that the provision of assistance is not well targeted. The purpose of this study is to assist in providing priority recommendations for PKH beneficiaries more accurately, quickly and effectively. In this study, a problem was formulated on how to implement the Simple Additive Weighting (SAW) method in solving problems through calculating the weight of criteria and being able to select the best alternative from all alternatives. The result of this research is a decision support system application that provides output in the form of ranking of the number of poor family data. So that the most appropriate priority for receiving PKH assistance is to meet the limited quota of PKH participants in accordance with the assessment criteria that have been determined by the government so that the assistance is more targeted.

Item Type: Thesis (Skripsi)
Uncontrolled Keywords: Family Hope Program, Simple Additive Weighting (SAW), Decision Support System
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika
Depositing User: Perpus ID UMMI
Date Deposited: 03 Aug 2023 07:52
Last Modified: 03 Aug 2023 07:52
URI: http://eprints.ummi.ac.id/id/eprint/3283

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