System for Determining House Credit Recipients Based on Data of Cooperative Members Using Simple Additive Weighting (SAW)

Wiwiet Herulambang, Fardanto Setyatama, Muhammad Zulfikkih
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Abstract

PMS Employee Cooperative is a savings and loan cooperative which aims to provide storage and loan services to employees who work at PT. Pro Manunggal Solusi and does not yet have a Decision Support System (SPK). A decision support system is needed in determining the eligibility of cooperative loans to employees. This study aims to help simplify and accelerate and minimize errors that occur in the cooperative borrower feasibility assessment process. The method used for this decision is to use the Simple Additive Weighting (SAW) method. Six criteria are used for the loan eligibility assessment process, namely criteria 1 (Loan size), criterion 2 (Loan Purpose), criterion 3 (Salary), criterion 4 (Position), criterion 5 (Age), criterion 6 (Period of service). Based on the results of the calculation, it can be concluded that each loan employee will be approved according to the ranking and is limited by the balance. If the balance is sufficient, the loan will be approved, but if the balance is less, the loan will be rejected. Of the total value of the ranking results, loans approved with a sufficient balance were Susanto (0.82) with a 12.13% chance, Sentot Sudiyantono (0.80) with a probability of 11.83%, and Siswandi (0.73) with big chance 10.80%.
基于合作成员数据的简单加性加权(SAW)房屋信贷受助人确定系统
PMS员工合作社是一个储蓄和贷款合作社,旨在为在PT. Pro Manunggal Solusi工作且尚未安装决策支持系统(SPK)的员工提供存储和贷款服务。需要一个决策支持系统来确定向雇员提供合作贷款的资格。本研究旨在帮助简化、加速和减少合作借款人可行性评估过程中出现的错误。用于此决策的方法是使用简单加性加权(SAW)方法。贷款资格评估过程使用了六个标准,即标准1(贷款规模)、标准2(贷款目的)、标准3(工资)、标准4(职位)、标准5(年龄)、标准6(服务年限)。根据计算结果,可以得出每个贷款员工将根据排名进行审批,并受余额限制。如果余额足够,贷款将被批准,但如果余额不足,贷款将被拒绝。在整个排名结果中,余额充足的贷款被批准的可能性依次为:Susanto(0.82)(12.13%)、Sentot Sudiyantono(0.80)(11.83%)、Siswandi(0.73)(10.80%)。
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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