Sistem Pendukung Keputusan Penentuan Dosen Pembimbing Tugas Akhir Menggunakan Fuzzy Dan Simple Additive Weighting Berbasis Android: Studi Kasus IKADO Surabaya

Titasari Rahmawati, Alexander Wirapraja, Ester Cavarius Soesilo
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Abstract

Final Project is a scientific work carried out by conducting research based on a problem and supported by data obtained from research activities. In the process of completing the final project, students are usually guided by a supervisor. Currently, students at IKADO Surabaya choose their supervisor only by subjective assessment and only through intuition. This causes the supervisors chosen by students to be less relevant to the topic of the final project and also in terms of experience in guiding with the topic of the final project is still small so that it affects the results/ quality of the final project itself. Therefore, we need an application that can provide recommendations to students regarding their final assignment supervisor in accordance with certain criteria. In this study, the application developed will use the fuzzy method and simple additive weighting to get the supervisor's recommendation according to the topic of the student's final project. The results show the choice of the names of the first and second supervisors, along with the top five ranking lecturers' names that can be used as alternative supervisors. The development method used is extreme programming, and uses testing in the form of Blackbox testing, while testing the ease and usability of the application uses usability testing. By making a decision support application called SIPEKA, it can help students and final project coordinators in determining alternative final project supervisors, by utilizing the features contained in the application.
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指导顾问的决策系统使用了基于Android的模糊和简单的上瘾weighing weiing: IKADO泗水案例研究
Final Project是一项科学工作,它基于一个问题进行研究,并以研究活动中获得的数据为支持。在完成期末项目的过程中,学生通常由导师指导。目前,IKADO泗水分校的学生只能通过主观评价和直觉来选择导师。这导致学生选择的导师与最终项目的主题不太相关,并且在指导最终项目主题方面的经验仍然很少,因此它影响了最终项目本身的结果/质量。因此,我们需要一个应用程序,可以根据一定的标准向学生推荐他们的期末作业导师。在本研究中,开发的应用程序将使用模糊方法和简单的加性加权来根据学生的期末项目的主题获得导师的推荐。结果显示了第一和第二导师的名字的选择,以及排名前五的讲师的名字,可以作为替代导师。使用的开发方法是极限编程,并以黑盒测试的形式使用测试,而测试应用程序的易用性和可用性则使用可用性测试。通过制作一个名为SIPEKA的决策支持应用程序,它可以帮助学生和期末项目协调员利用该应用程序中包含的功能来确定备选的期末项目主管。
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