Penerapan Algoritma Profile Matching pada Aplikasi Computer Based Test (CBT) dalam Proses Seleksi Mahasiswa Baru

Lusi Robiatul Fadilah, Rianto Rianto, Rahmi Nur Shofa
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引用次数: 1

Abstract

Computer Based Test (CBT) is a test that is administered using a computer as tools or the main medium in conducting tests or exams. However, not all universities have utilized this technology. One of them is the Sekolah Tinggi Ilmu Kesehatan (STIKes) Kuningan, which has not yet used a computerized system. Examination implementation and manual processing of exam scores are an obstacle in the selection process for new students. With the existence of a Computer Based Test (CBT) application, it is hoped that it can facilitate the implementation of the test. However, the use of Computer Based Test (CBT) technology is not sufficient in determining which participants get the best score. The Profile Matching algorithm is chosen as an algorithm that can assist in decision making. There are 5 criteria used, that is the value of CBT and parents' income as criteria for the type of Core Factor, Mathematics National Exam scores, English National Exam scores, and Indonesian Language National Exam scores as criteria for the type of Secondary Factor. Testing is done by comparing the results of calculations on the system and Microsoft Excel calculations where there are 3 different values of the Core Factor and Secondary Factor. There is a discrepancy in the test results when multiple profiles have the same final value. One of them, Dea Nur Alifah and Rahma Nurlita with CF values of 60%, SF 40% and CF 70%, SF 30% has a final value of 5.78, is in the order of 3 and 4. Furthermore, the CF values of 80% and SF 20% are both has decreased in value, to 5.77 and still ranks 3 and 4. The application of the Profile Matching algorithm with an output in the form of ranking values in the Computer Based Test (CBT) application is still not optimal.
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基于计算机的考试(CBT)是一种使用计算机作为工具或主要媒介进行测试或考试的考试。然而,并不是所有的大学都利用了这项技术。其中之一是尚未使用计算机化系统的Sekolah Tinggi Ilmu Kesehatan (STIKes) Kuningan。考试的实施和考试成绩的人工处理是新生选拔过程中的一个障碍。随着基于计算机的测试(CBT)应用程序的存在,希望它可以促进测试的实施。然而,使用基于计算机的测试(CBT)技术并不足以确定哪些参与者获得最好的分数。选择轮廓匹配算法作为辅助决策的算法。使用了5个标准,即CBT值和父母收入作为核心因素类型的标准,数学国家考试成绩,英语国家考试成绩和印度尼西亚语言国家考试成绩作为次要因素类型的标准。测试是通过比较系统计算结果和Microsoft Excel计算结果来完成的,其中核心因子和次要因子有3个不同的值。当多个概要具有相同的最终值时,测试结果存在差异。其中,Dea Nur Alifah和Rahma Nurlita的CF值为60%,SF为40%,CF为70%,SF为30%,其最终值为5.78,为3和4的数量级。此外,80%的CF值和20%的SF值都有所下降,为5.77,仍然排在第3和第4位。在基于计算机的测试(CBT)应用中,配置文件匹配算法以排序值的形式输出的应用仍然不是最优的。
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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