Penentuan Penerima Bantuan Rumah Tidak Layak Huni Menggunakan Metode Simple Additive Weghting

Authors

  • Sonia Ratnaning Pertiwi
  • Yustina Retno Wahyu Utami STMIK Sinar Nusantara, Indonesia
  • Sri Harjanto

DOI:

https://doi.org/10.30646/tikomsin.v9i2.571

Keywords:

Decision Support System, Simple Additive Weighting, Uninhabitable Housing Assistance

Abstract

Uninhabitable Housing Assistance (RTLH) is a government program which distribute  to village office, it has purpose to improve the life quality of community. Poor people can life convenient with Uninhibitable Houses Assistence. Determination of social assistence construction of Uninhabitable Houses is going to do by relying on the intitution. The purpose of this research is creating a decision support system that can help to determine the appropriate poor people are receiving social assistence of Uninhabitable House  (RTLH) using simple additive weighting (SAW) method. It is used the creteria such as, the monthly income, the occupation, the total of burden, the condition of house wall, the condition of house floor, the condition of house roof, and the condition of bathroom. The result of this research is the beneficial system for receiver of Uninhabitable Houses.

References

A.M Hirin, Belajar Tuntas (Dari Dasar Hingga Mahir) VB.Net 2010, Prestasi Pustaka, 2011.

M. Hakim, Sistem Pendukung Keputusan Kategori Rumah Tidak Layak Huni Di Kelurahan Majidi Selong Kabupaten Lombok Timur Dengan Metode Simple Additive Weighting (SAW), Jurnal Matrik, Vol,17 NO.1., 2017.

Jubilee, Otodidak Pemrograman Database Dengan Visual Basic, PT. Elex Media Komputindo, 2018.

W. Komputer, SQL Server 2012. Yogyakarta: Andi, 2012.

Kusrini, Konsep dan Aplikasi Sistem Pendukung Keputusan, Yogyakarta: Andi, 2007.

S. N. Nangi Jumadil, Analisis Metode Simple Additive Weighting (SAW) dan Weighted Product dalam Penerimaan Karyawan Baru, Proceeding Seminar Nasional Aptikom, Mataram, 2016.

R. S. Pressman, Rekayasa Perangkat Lunak. Yogyakarta: Andi Offset, 2002.

P. William, Effective Methods for Software Testing. 1-5, 3-430, 1995.

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Published

2021-11-01

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