SISTEM PENDUKUNG KEPUTUSAN CALON PENERIMA DANA BANTUAN SISWA MISKIN (BSM) MENGGUNAKAN METODE MULTI-OBJECTIVE OPTIMAZION ON THE BASIS OF RATIO ANALYSIS

Abdul Rokhim, Alimin Al, Muchamad Lukman Hakim
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Abstract

Abstract :. Poor student assistance funds are assistance given to students from underprivileged families to be able to carry out learning activities at school. This assistance provides opportunities for students to pursue higher-level education.This program aims to enable students from underprivileged groups to continue their education at school. In addition, it also aims to reduce the number of students dropping out of school due to problems with education costs. The system used by the school still uses Microsoft Excel. In previous research, there was a system that implemented several methods to help the SMK UNTUNG SURAPATI school in determining the receipt of aid funds for poor students. To assist the SMK UNTUNG SURAPATI in selecting the recipients of funds for poor students, a web-based decision support system was created. The method used is the moora method (Multi – Objective Optimization On The Basis Of Ratio Analysis). The moora method is implemented on the system to be built. The application of the moora method requires a weighting of each criterion.With the MOORA method, reports on aid funds for poor students that were previously standard and unstructured have turned into structured and directed so that the SMK UNTUNG SURAPATI schools that use this application can get a view to select students who are entitled to the assistance based on the highest score results.
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受助贫困学生援助候选人决策系统(BSM)使用分析基础上的多目标优化方法
文摘:。贫困学生援助基金是为贫困家庭的学生提供的援助,使他们能够在学校开展学习活动。这种援助为学生追求更高水平的教育提供了机会。这个项目旨在使贫困群体的学生能够继续在学校接受教育。此外,它还旨在减少因教育成本问题而辍学的学生人数。学校使用的系统仍然是Microsoft Excel。在之前的研究中,有一个系统实施了几种方法来帮助SMK UNTUNG SURAPATI学校确定贫困学生的援助资金。为协助管理学院选择资助贫穷学生的受助人,我们建立了一个网上决策支援系统。所使用的方法是moora法(基于比率分析的多目标优化)。在待构建的系统上实现了mooa方法。应用摩尔法需要对每个准则进行加权。通过MOORA方法,以前标准和非结构化的贫困学生资助资金报告变得结构化和定向,以便使用此应用程序的SMK UNTUNG SURAPATI学校可以根据最高分数结果选择有资格获得资助的学生。
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