Information System Web Design For Class English Proficiency Test Using Fisher Yates Shuffle Method

Authors

    Andri Wijaya( 1 ) Frendy Dodo Chang( 2 )

    (1) Universitas Buddhi Dharma
    (2) Universitas Buddhi Dharma

DOI:


https://doi.org/10.32877/bt.v5i3.724

Keywords:


English Proficiency Test (EPT) , Fisher-Yates Shuffle , Five Ascpect Quality , Random Exam Test , User Acceptance Test (UAT)

Abstract

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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Published

2023-04-28

How to Cite

[1]
Andri Wijaya and Frendy Dodo Chang, “Information System Web Design For Class English Proficiency Test Using Fisher Yates Shuffle Method”, bit-Tech, vol. 5, no. 3, pp. 166–173, Apr. 2023.

Issue

Vol. 5 No. 3 (2023): bit-Tech

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Articles

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DOI : https://doi.org/10.32877/bt.v5i3.724
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