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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Elida Tuti Siregar
Universitas Potensi Utama, Medan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Penerapan Metode SMART dalam Seleksi Penerima Bantuan Sosial Warga Masyarakat Terdampak COVID-19 Bambang TJ Hutagalung; Elida Tuti Siregar; Juanda Hakim Lubis
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i1.2618

Abstract

The Tabita Women's Association (PW) faces obstacles in determining objective criteria in determining community members affected by Covid-19 for social assistance to be distributed so that they are right on target. This is due to the absence of a systematic and measurable system in determining which citizens are eligible as recipients of social assistance. To help PW Tabita, it is necessary to establish a system capable of providing output recommendations for the selection of the most appropriate community members as recipients of social assistance. The criteria for selecting social assistance recipients refer to the fulfillment of several elements, namely: employment status, monthly income, number of dependents, residence status, electricity tariff status, insurance participants, and PKH (Family Hope Program) participants. The Simple Multi-Attribute Rating Technique (SMART) method is a method applied in this research. The results showed that determining the appropriate weight for each criterion greatly influenced the results of the calculation of the recommendation for providing social funds for people affected by Covid-19. Then in order to obtain more accurate results, it is necessary to test the validity of the criteria to obtain more precise criteria in accordance with the eligibility needs of receiving social funds for community members affected by Covid-19 from PW Tabita.
Optimalisasi Penyaluran Bantuan Program Keluarga Harapan Menggunakan Metode Fuzzy SAW pada Sistem Pendukung Keputusan Nita Syahputri; Fithry Tahel; Elida Tuti Siregar; Erwin Ginting
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7524

Abstract

This study aims to design and implement a decision support system (DSS) used on the Fuzzy Simple Additive Weighting (Fuzzy SAW) method to improve the accuracy and objectivity of the selection process for recipients of the Family Hope Program (PKH) in Hamparan Perak Village. The system was developed to address the limitations of manual selection, which remains subjective and inefficient. The research involved several stages, including needs analysis, system design using Unified Modeling Language (UML), and testing through the black-box method. The system utilizes social criteria data such as housing conditions, number of dependents, and informal employment status, which are processed using a fuzzy approach to produce structured recommendations. The main innovation of this system lies in the integration of localized indicators and a mobile-based data update module, enabling real-time verification and validation in the field. The implementation results indicate that the system operates optimally and can be utilized by village officials with limited digital literacy. This research contributes to strengthening data-driven governance in social assistance distribution and has the potential to be replicated in other regions with similar socio-demographic characteristics.
Co-Authors Bambang TJ Hutagalung Erwin Ginting Fithry Tahel Juanda Hakim Lubis Nita Syahputri