PENERAPAN METODE TOPIS PADA PENERIMAAN BANTUAN LANGSUNG TUNAI DANA DESA

Rianto Rianto, Edo Affindo, Setia Wardani
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Abstract

 The selection of prospective recipients for Direct Cash Assistance (BLT) from Village Funds often faces the complex problem of determining the individuals who truly need assistance. This problem arises due to the limitations of the data and criteria used, as well as the lack of transparency in the selection process. This research aims to overcome these problems by applying the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method in a decision support system for selecting BLT prospective recipients. The TOPSIS method is chosen because of its ability to handle multi-attribute criteria and different weights. The data used in this research is village population data that has been surveyed and verified by the village government. The criteria used in the selection of BLT prospective recipients include poverty level, living conditions, age, Marital Status, health. The results of the study show that the TOPSIS method is able to produce a more objective and accountable ranking of BLT prospective recipients compared to conventional methods. The application of this method is expected to assist village governments in distributing assistance effectively and minimizing the potential misuse of BLT funds.
在领取村直接现金援助资金时采用专题方法
从乡村基金中挑选直接现金援助(BLT)的潜在受援者往往面临一个复杂的问题,即 如何确定哪些人真正需要援助。造成这一问题的原因是所使用的数据和标准的局限性,以及遴选过程缺乏透明度。本研究旨在通过在决策支持系统中应用 "与理想解决方案相似度排序法(TOPSIS)"来选择 BLT 潜在受助者,从而克服这些问题。之所以选择 TOPSIS 方法,是因为它能够处理多属性标准和不同权重。本研究使用的数据是经过村政府调查和核实的村人口数据。选择 BLT 准受惠者的标准包括贫困程度、生活条件、年龄、婚姻状况和健康状况。研究结果表明,与传统方法相比,TOPSIS 方法能够更客观、更负责任地对 BLT 准受助人进行排序。这种方法的应用有望帮助村政府有效地分配援助,并最大限度地减少滥用基本建设信托基金的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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