Klasterisasi Penerima Bantuan Sosial Menggunakan Metode Simple Additive Weighting

Dison Librado, Tri Prabawa, Heru Agus Triyanto

Abstract


This research is about a decision support system using the Simple Additive Weighting method to help determine the recipients of social assistance wich provided by the government with the aim to improve their standard of living. Wedomartani Village has a fairly large area with a large population. The problem is that the number of potential beneficiaries is not proportional to the available social assistance quota, so it is necessary to select recipients based on certain criteria to fit the target. The Simple Additive Weighting (SAW) method has been used to determine the nomination of candidates for social assistance. From the results of data processing for prospective recipients of Bantuan Langsung Tunai Dana Desa (BLT-DD) in 2020, If the largest 25 are taken from it, it shows that the distribution of the poverty level of the population in the area is not evenly distributed, so a policy made by the sub-district government is needed for more specific poverty reduction.

Keywords


beneficiaries; decision support system; SAW; Social assistance

References


Falentino Sembiring, Mohamad Tegar Fauzi, Siti Khalifah, Ana Khusnul Khotimah, Yayatillah Rubiati, “Sistem Pendukung Keputusan Penerima Bantuan Covid 19 menggunakan Metode Simple Additive Weighting (SAW) (Studi Kasus : Desa Sundawenang)”, Jurnal Sistem Informasi dan Telematika EXPLORE, Vol 11, No.2, Universitas Bandar Lampung, Lampung, 2020

Hermanto, Nailul Izzah, “Sistem Pendukung Keputusan Pemilihan Motor dengan Metode Simple Additive Weight (SAW)”, Jurnal Matematika dan Pembelajaran, Volume 6, No. 2, Desember 2018, Sekolah Tinggi Teknik Qomaruddin Gresik, Gresik, 2018

Syahriani Syam, Mahmud Rabidin, “Metode Simple Additive Weighting dalam Sistem Pendukung Keputusan Pemilihan Karyawan Berprestasi (Studi Kasus : PT. Indomarco Prismatama cabang Tangerang 1)”, Jurnal Keilmuan dan Aplikasi Teknik UNISTEK, Vol. 6, No.1, Universitas Islam Syekh Yusuf, Tangerang Banten, 2019

Tri Prabawa, 2022, Klasterisasi Nominasi Penerima Bantuan Sosial Menggunakan Metode Technique Order Preference By Similarity To Ideal Solution , Jurnal Informatika dan Komputer - JIKO Vol. 6, No.1[Online]. Tersedia di: https://ejournal.akakom.ac.id/index.php/jiko/article/view/512

Wiwin Wijayanti, Kustanto , Sri Tomo, Sistem Pendukung Keputusan Penentuan Penerima Bantuan Langsung Tunai Di Kantor Kepala Desa Ngringo Dengan Menggunakan Algoritma Simple Additive Weighting, Jurnal Tikomsin Vol 5, No 1, ISSN : 2338-4018, 2017

Fadhliazis dan Sarjono, “Analisis Dan Perancangan Sistem Pendukung Keputusan Penerima Bantuan Program Keluarga Harapan Dengan Simple Additive Weighting (SAW) Pada Dinas Sosial, Kependudukan Dan Pencatatan Sipil Provinsi Jambi”, Jurnal Manajemen Sistem Informasi Vol. 4, No.2, Juni 2019, Program Studi Magister Sistem Informasi, Pasca Sarjana STIKOM Dinamika Bangsa, Jambi, 2019.

Karami, Amin, ,”Utilization and Comparison of Multi Attribute Decision Making Techniques to Rank Bayesian Network Options”, Master Degree Project in Informatics One year Level ECTS 30 Spring Term Year 2011

Putri Yunita, Arie Linarta, Yuliani, “SPK Pemilihan Bantuan Bedah Rumah pada Kelurahan Purnama Menggunakan Metode SAW”, JISKa, Vol. 4, No. 1 Mei 2019, STMIK Dumai, Dumai-Riau, 2019

Kusumadewi, Sri., “Pencarian Bobot Atribut pada Multiple Attribute Decision Making (MADM) dengan Pendekatan Obyektif Menggunakan Algoritma Genetika”, Gematika Jurnal Manajemen Informatika, Volume 7 Nomor 1, 2005.

Pemerintah Desa Wedomartani, “Laporan Keterangan Penyelenggaraan Pemerintah Desa Wedomartani Tahun Anggaran 2019”. Sleman, Daerah Istimewa Yoagyakarta, 2020




DOI: http://dx.doi.org/10.26798/jiko.v7i1.677

Article Metrics

Abstract view : 820 times
PDF (Bahasa Indonesia) - 610 times

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2023 Dison Librado

JIKO (Jurnal Informatika dan Komputer)

Published by
Lembaga Penelitian dan Pengabdian Masyarakat
Universitas Teknologi Digital Indonesia (d.h STMIK AKAKOM)

Jl. Raya Janti (Majapahit) No. 143 Yogyakarta, 55198
Telp. (0274)486664

Website : https://www.utdi.ac.id/

e-ISSN : 2477-3964 
p-ISSN : 2477-4413

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.