Specification Decision Support System at The Faculty Of Engineering Muhammadiyah University Bengkulu Using Method Simple Additve Weighting (SAW)

Ujang Juhardi, Andilala Andilala, Pahrizal Pahrizal, Muntahanah Muntahanah, Sella Shopiana
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Abstract

The title of this research is a specialization decision support system at the Faculty of Engineering, University of Muhammadiyah Bengkulu using the Simple Additive Weighting (SAW) method. The main problem is how to make an information system in decision making at the Faculty of Engineering, University of Muhammadiyah Bengkulu. This decision support system uses the SAW method. The SAW method was chosen because it determines the weight for each art or criterion, then proceeds with a ranking process that will select the best alternative from a number of existing alternatives. Based on the SAW discussion carried out with data on the value of a student named Andi Prasetio NPM 19552051, the ranking results for Robotics specialization with a value of 56.1 Multimedia specialization with a value of 45.2 Network Specialization with a value of 45.2 and the largest value is Programming specialization with a value of 56 ,6. thus the chosen alternative is Programming specialization. It is hoped that the existence of this specialization decision support system can help provide recommendations for students of the Faculty of Engineering, University of Muhammadiyah Bengkulu in determining the specialization to be taken.
基于简单加性加权法(SAW)的穆罕默迪亚大学明库鲁工程系规范决策支持系统
本研究的题目是使用简单加性加权(SAW)方法在Muhammadiyah Bengkulu大学工程学院的专业化决策支持系统。本库鲁大学工程学院的主要问题是如何在决策过程中建立一个信息系统。该决策支持系统采用SAW方法。选择SAW方法是因为它确定了每个艺术或标准的权重,然后进行排序过程,从许多现有的备选方案中选择最佳备选方案。根据学生Andi Prasetio NPM 19552051的价值数据进行SAW讨论,排名结果为机器人专业的价值为56.1,多媒体专业的价值为45.2,网络专业的价值为45.2,最大的价值是编程专业的价值为56,6。因此,选择的替代方案是编程专门化。希望这一专业决策支持系统的存在能够帮助本库鲁大学工程学院的学生在选择专业时提供建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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