加权乘积与TOPSIS比较法确定家庭希望计划受益人

Didit Suhartono, Tika Sari
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引用次数: 6

摘要

家庭希望计划(PKH)是一个向贫困家庭提供现金援助的政府计划。在Cimrutu村实施的PKH没有得到最佳实施,即优先考虑尚未达到目标的PKH参与者的目标。发生这种情况是因为登记穷人的官员仍然使用手工方法。为了简化工作,避免旧系统对数据的错误计算,我们建立了一个决策支持系统,可以帮助PKH接受者更快、更准确地做出决策。计算方法采用加权积法(WP)。本研究采用访谈法和文献法收集资料。本研究中的系统开发通过黑盒测试使用瀑布。系统设计工具以DFD和ERD的形式出现。用于制作此应用程序的软件是Visual Studio 2012, Xampp和Crystal Reports。使用的编程语言是Java,其支持的数据库是MySQL。预计这一决策支持系统将能够帮助Cimrutu村的官员选择和确定有资格获得PKH的社区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Method of Weighted Product and TOPSIS to Determine The Beneficiary of Family Hope Program
The Family Hope Program (PKH) is a government program that provides cash assistance to impoverished households. The implementation of PKH in Cimrutu Village has not been implemented optimally, namely prioritizing the targets of PKH participants who are not yet on targets. This happened because the officers in registering the poor were still using manual methods. To simplify the work and avoid miscalculation of data with the old system, a decision support system was built that could help make decisions on PKH recipients quickly and more accurately. The calculation method used is the Weighted Product (WP) method. Data collection methods used in this study were interviews and documentation. System development in this study uses waterfall through black-box testing. System design tools in the form of DFD and ERD. The software used in making this application is Visual Studio 2012, Xampp, and Crystal Reports. The programming language used is Java with its supporting database using MySQL. This decision support system is expected to be able to help officers in Cimrutu Village in selecting and determining communities that are eligible for PKH.
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