Simple Additive Weighting in the Development of a Decision Support System for the Selection of House Construction Project Teams

H. Aulawi, Fitri Nuraeni, Ridwan Setiawan, Wiby Fabian Rianto, Adhitya Surya Pratama, Helmi Maulana
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Abstract

Every time they get a project, planning consultants and building implementers always work with contractors to work on the project. However, in project work, there are often several obstacles to the selected contractor, such as delays in work, workmanship not according to plan, and inappropriate building specifications to unskilled experts. This happens because the contractor selection process that is not right causes the construction phase to be not optimal it affects the quality of the resulting building. The selection of contractors involves a complex multi-criteria where each criterion used has different importance and the information about it is not known precisely so a method is needed to overcome these problems. For this reason, it is necessary to have a system in supporting contractor selection decisions, known as the Decision Support System. This system was built using the Rapid Application Development (RAD) design method with the stages of Requirements Planning, User Design, Construction, and Cutover. The construction of this DSS uses one of the methods in making decisions, namely Simple Additive Weighting (SAW) to make an assessment based on predetermined decision-making criteria. From this research, a website-based decision support system was obtained using the javascript programming language, with a score of 79.7% for the ease of use of the system, and a 93.3% score for the usefulness of the system.
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简单相加加权在房屋建设项目团队选择决策支持系统开发中的应用
每次他们得到一个项目,规划顾问和建筑实施者总是与承包商一起工作。然而,在项目工作中,选择承包商往往会遇到一些障碍,例如工作延误,做工不按计划进行,以及对不熟练的专家不适当的建筑规范。这种情况的发生是因为承包商选择过程不正确导致施工阶段不是最佳的,它影响了最终建筑的质量。承包商的选择涉及到一个复杂的多标准,其中所使用的每一个标准都有不同的重要性,而且关于它的信息并不确切,因此需要一种方法来克服这些问题。因此,有必要建立一个支持承包商选择决策的系统,即决策支持系统。该系统采用快速应用程序开发(RAD)设计方法,分为需求规划、用户设计、构建和转换四个阶段。该决策支持系统的构建采用了决策中的一种方法,即简单加性加权法(Simple Additive Weighting, SAW),根据预先确定的决策准则进行评价。通过本研究,使用javascript编程语言获得了一个基于网站的决策支持系统,系统的易用性得分为79.7%,系统的有用性得分为93.3%。
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