分析加权乘积法在中小微企业援助计划决策支持系统中的应用

Thomas Aquino Berno Doduk, Heri Supriyanto, Mohammad Al Hafidz, Muhammad Septama Prasetya, M. A. Karyawan
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引用次数: 0

摘要

生产性微型企业援助(BPUM)是一项政府政策。自印度尼西亚 Covid-19 大流行以来,该援助一直在实施。Mojokerto 市政府对微型企业和中小型企业进行筛选,以避免在确定微型企业和中小型企业援助时出现错误。因此,需要使用加权乘积法开发一个决策支持系统,以便更方便快捷地确定哪些中小微企业有资格获得援助。系统开发的各个阶段包括问题分析、数据收集、方法应用分析和系统开发。根据计算得出的 S 向量,9382 个中小微企业数据中最大值为 0.10568,最小值为 0.05886。最后计算的是 V 向量值,它以数据排序的形式产生建议,可供 Mojokerto 市 Diskopukmperindag 用来确定哪些中小微企业有权获得援助。所选替代方案的结果与排名一致,最大值为 0.10568,最小值为 0.05886。决策支持系统可根据中小微企业拥有的最大相对偏好值向决策者提供建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis the Application of the Weighted Product Method in Decision Support Systems for Assistance Programmes for MSMEs
Productive Micro Business Assistance (BPUM) is a government policy. This assistance has been carried out since the Covid-19 Pandemic in Indonesia. The Mojokerto city government conducts a selection of MSMEs which is expected to avoid errors in determining MSME assistance. Therefore, a decision support system is needed that is developed using the Weighted Product method to make it easier and faster to determine MSMEs that are eligible to receive assistance. The stages of system development start from problem analysis, data collection, analysis of method application, and system development. Based on the calculation of the resulting S vector, the largest value is 0.10568 and the smallest value is 0.05886 from 9382 MSME data. The last calculation is the V vector value which produces recommendations in the form of data ranking that can be used by the Mojokerto City Diskopukmperindag to determine which MSMEs are entitled to receive assistance. The results of the selected alternatives are in accordance with the ranking with the largest value of 0.10568 and the smallest value of 0.05886. Providing recommendations by the decision support system to policy makers can be based on the largest relative preference value owned by MSMEs.
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