IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING UNTUK REKOMENDASI PENERIMA PROGRAM KELUARGA HARAPAN (Studi Kasus: Kelurahan Panjatan, Karanganyar, Kebumen)

SASONGKO, BIMO ADE (2021) IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING UNTUK REKOMENDASI PENERIMA PROGRAM KELUARGA HARAPAN (Studi Kasus: Kelurahan Panjatan, Karanganyar, Kebumen). Tugas Akhir thesis, University of Technology Yogyakarta.

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Abstract

BIMO ADE SASONGKO Department of Informatics, Faculty of Science & Technology University of Technology Yogyakarta North Ringroad St., Jombor Sleman Yogyakarta E-mail: bimoade@gmail.com ABSTRACT PKH assistance is a social protection program that assists households that meet PKH criteria. In providing PKH assistance to Panjatan Village, it is still not optimal because the recipient selection is still selected manually, and there is no calculation process in the process. There has been no calculation process causing residents to protest because they should have received assistance, but they did not receive it. The amount of data that is processed requires a decision support system for PKH beneficiaries. In this study, the method used is the Simple Additive Weighting (SAW) method. This method was chosen because it could choose the best alternative based on the criteria from some alternatives. The steps to perform calculations in this study are normalization, each alternative's preference value, and ranking. The result of this research is a decision support system that can provide recommendations for PKH beneficiaries. The criteria used in this study were the number of elementary school children, the number of junior high school children, the number of high school children, pregnant women, the number of early age children, the elderly, disabilities and income. According to the criteria, the system built can help provide solutions for Panjatan Village in selecting recipients of PKH assistance. Keywords: PKH, Decision Support System, SAW

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 07 Sep 2021 03:17
Last Modified: 07 Sep 2021 03:17
URI: http://eprints.uty.ac.id/id/eprint/7958

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