The Sriwijaya University Library

  • Home
  • Information
  • News
  • Help
  • Login
  • Librarian
  • Member Area
  • Select Language :
    Arabic Bengali Brazilian Portuguese English Espanol German Indonesian Japanese Malay Persian Russian Thai Turkish Urdu

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

{{tmpObj[k].text}}
Image of ANALISIS SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENERIMAAN BANTUAN SOSIAL MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) DI KELURAHAN TANJUNG RAJA
Bookmark Share

Skripsi

ANALISIS SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENERIMAAN BANTUAN SOSIAL MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) DI KELURAHAN TANJUNG RAJA

Sari, Lulu Monica - Personal Name;

Social assistance is one of the government’s efforts to reduce social inequality and achieve social justice for all Indonesian citizens. However, limited budget allocations make it necessary to develop an objective selection analysis system to determine eligible recipients. This study aims to apply the Weighted Product (WP) method in analyzing a Decision Support System for determining social assistance recipients in Tanjung Raja Village. Five criteria were used in this study, namely income amount, number of dependents, housing condition, employment status, and asset ownership. Data were obtained through questionnaires that were validated using the Content Validity Index (CVI) method. The results show that the income criterion (C1) has the highest weight of 0.2461, the number of dependents (C2) has a weight of 0.1936, housing condition (C3) has a weight of 0.1897, employment status (C4) has a weight of 0.1907, and asset ownership (C5) has the lowest weight of 0.1797. Meanwhile, alternative A5 obtained the highest vector V value of 0.2076, followed by A3 (0.2061), A4 (0.2024), A1 (0.1931), and A2 (0.1905). These results indicate that the social assistance recipient candidate A5 is the most eligible to receive assistance. The application of the Weighted Product method has proven to effectively support the decision-making process in an objective, fast, and accurate manner. Keywords: Decision Support System Analysis, Weighted Product (WP), Content Validity Index (CVI).


Availability
#
Central Library (Reference) T1895772025
T189577
Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1895772025
Publisher
Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025
Collation
xvii, 99 hlm.; ilus.; tab.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
004.07
Content Type
Text
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Informasi
Metode Weihted Product (WP)
Specific Detail Info
-
Statement of Responsibility
MI
Other version/related
TitleEditionLanguage
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN DESA TERBAIK MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) DI KABUPATEN MUARA ENIMid
File Attachment
  • ANALISIS SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENERIMAAN BANTUAN SOSIAL MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) DI KELURAHAN TANJUNG RAJA
Comments

You must be logged in to post a comment

The Sriwijaya University Library
  • Information
  • Services
  • Librarian
  • Member Area

About Us

As a complete Library Management System, SLiMS (Senayan Library Management System) has many features that will help libraries and librarians to do their job easily and quickly. Follow this link to show some features provided by SLiMS.

Search

start it by typing one or more keywords for title, author or subject

Keep SLiMS Alive Want to Contribute?

© 2026 — Senayan Developer Community

Powered by SLiMS
Select the topic you are interested in
  • Computer Science, Information & General Works
  • Philosophy & Psychology
  • Religion
  • Social Sciences
  • Language
  • Pure Science
  • Applied Sciences
  • Art & Recreation
  • Literature
  • History & Geography
Icons made by Freepik from www.flaticon.com
Advanced Search
Where do you want to share?