基于Fisher Yates Shuffle法的班级英语水平考试信息系统网页设计

bit-Tech Pub Date : 2023-04-28 DOI:10.32877/bt.v5i3.724
Andri Wijaya, Frendy Dodo Chang
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引用次数: 1

摘要

在过去几十年里,信息技术得到了迅速发展,COVID-19大流行进一步加速了技术在我们生活各个方面的采用和实施,特别是在商业部门和教育领域。在那里,原本离线的学习系统的改进变成了在线的、实用的、容易的。目前,佛法大学社会文学院的英语考试信息,从报名、排班、考试到公布成绩,仍然是手工运行的,这当然需要参与者和教职员更多的时间。为了提高学生的英语知识,需要由教师组织的英语综合能力测试,即英语水平测试(EPT)。本EPT信息系统的设计,一方面能够改变手工的方法,另一方面也简化了EPT的程序。新系统采用网站结合Fisher-Yates Shuffle方法随机化考试测试,以减少在进行英语培训测试过程中的欺诈行为,以94名受访者作为英语培训参与者进行跟踪,系统使用用户验收测试(UAT)方法进行测试,包括五个方面的质量组成部分。结果表明,所建立的系统具有良好的评价标准,评价值为75.93%。
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Information System Web Design For Class English Proficiency Test Using Fisher Yates Shuffle Method
Information technology has been rapidly developing over the past few decades, and the COVID-19 pandemic has further accelerated the adoption and implementation of technology in various aspects of our lives, particularly in the business sector and education., where improvements in the learning system that were originally offline become online, practical, and easy. Currently, information regarding the English Test at Faculty of Social Sains and Humanities Buddhi Dharma University (UBD) is still running manually starting from registration, scheduling, exam, and announcement of English test results which of course requires more time for both participants and faculty staff. In order to boost students English knowledge, an English comprehension exam test is needed as organized by the faculty, that is English Proficiency Test (EPT). The design of this EPT information system, a part of being able to change the manual method, and also to simplified the EPT procedure. The new system is using website which combined with Fisher-Yates Shuffle method for randomization the exam test to reduce fraudulent actions in the process of conducting English training tests, being followed by 94 respondents as English training participants, system tested using the User Acceptance Test (UAT) method with five aspects of quality components. The results obtained that the system built had a good criteria with a value of 75.93%.
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