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Journal : Journal of Decision Support System Research

Decision Support System for Recipients of Cash Social Assistance using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method Alfarisi Pasaribu, Ahmad; Saputra, Imam; Karim, Abdul
Journal of Decision Support System Research Vol. 2 No. 2 (2025): January 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i2.95

Abstract

Cash Social Assistance (BST) is assistance in the form of money provided to poor, disadvantaged, and/or vulnerable families affected by the Corona Virus Disease 2019 (COVID-19) outbreak. The amount of Cash Social Assistance is IDR 600,000/family/month. This Cash Social Assistance is a social safety net program of the Ministry of Social Affairs intended for poor and vulnerable families affected by Covid-19. This program is a special assignment assistance from the President. Social assistance for areas outside Jabodetabek is provided in the form of money, while for the Jabodetabek area it is provided in the form of basic necessities. The provision of BST assistance does not include recipients of the Family Hope Program (PKH), Staple Food Cards, and Pre-Employment Cards. To obtain the Cash Social Assistance (BST) funds, the government has set several criteria for which families can be determined and are entitled to receive the Cash Social Assistance (BST). These criteria will later help government agencies in determining which residents can be selected to receive the Poor Family Assistance Fund. Therefore, a government agency must have a Decision Support System for Cash Social Assistance (BST) recommendations using the Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) method, with the existence of a decision support system for determining Cash Social Assistance (BST) it is expected to run well, be on target, and be received by the entitled people. Thus, decision makers can compare the performance between the old system and the decision support system for determining BST funds using the Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA) method without having to re-request data on families who will be given Cash Social Assistance (BST) funds.
Co-Authors A.A. Ketut Agung Cahyawan W A.N. Afandi Abdul Karim Adiguna, Satria Afriansyah, Muhammad Agung Dwi Pradana Aguswinaya, Agung Rake Ahmad Tamrin Sikumbang Al-Adawiyah, Robiah Alfarisi Pasaribu, Ahmad Amalia, Dira Amelia Ramadhani, Amelia Annisa Fadillah Siregar Anugrah, Elfira Aripriharta - Ariska, Melinda Aryadito, Rehan Ayulia Sari Azlan Azlan, Azlan Bagaskoro, Muhammad Cahyo Bilal Abdul Aziz Darma Taksiah Sihombing, Darma Taksiah Dina Octavia Erna Verawati Fadlina Ginting, Suranta Bill Fatric Gokma Lumbantoruan Guidio Leonarde Ginting Gultom, Istanto Hery Sunandar Hetty Rohayani Indra Williamsyah Sinaga Jariah, Nur Ainun Kolopaking, Sania Lemcia Hutajulu Lole, Marsya Reskiani Lubis, Adi Mora Mariansari, Mariansari Marliana Marliana, Marliana Matondang, Firman MAURITZ PANDAPOTAN MARPAUNG Mesran, Mesran Muhammad Afnan Habibi Mutiara, Berkah Nasib Marbun Ndruru, Eferoni Nelly Astuti Hasibuan Nur Afifah Siregar, Rizka Nur Syifa’ul Alyah Oktarina, Dian Permata, Shely Junian Pohan, Ferdi Rahmawaty Rahmawaty Rahmawaty Raimah Handayani Harahap Ritonga, Fitri Aisyah Rivalri Kristianto Hondro Robinson Siagian, Edward Rohmat Indra Borman Sagita, Ira Sahrul Saputra Saputra, Dendi Bianda Saputra, Febrian Eko Sari, Juwita Indah Sari, Sri Indah Setiawan, Aditya Wahyu Sheva, Putri Picaso Azury Simanullang, Putri M Sinurat, Sinar Suginam Sultan Rexy Adji Suparwatini, Suparwatini Surya Darma Nasution Syafruddin Syafruddin Tanjung, Dewi Maulida Sari Taronisokhi Zebua Tatang Permana, Tatang Tua, Rahmat Utami, Nur Indah Yanti, Martina Vevi Yusufa, Ilham Zainun, Zainun