Author: Silalahi, L. M.; Budiyanto, S.; Simanjuntak, I. U. V.; Silaban, F. A.; Rochendi, A. D.; Karimah, W. A.
Title: Real-Time Examination System for New Students at Pandemic Time Covid 19 Using Fuzzy Logic Cord-id: h3sr776s Document date: 2021_1_1
ID: h3sr776s
Snippet: In this paper, it is a solution to assist government policies in reducing the spread of the 2019 coronavirus disease (COVID-19) at Mercu Buana University, where the system is designed to function as an online admissions interface using fuzzy logic with artificial intelligence. Where the system is fully automatic, starting from processing input data and output data in the form of selection results made by the system in real-time. Fuzzy logic for the lower limit value which is considered very low
Document: In this paper, it is a solution to assist government policies in reducing the spread of the 2019 coronavirus disease (COVID-19) at Mercu Buana University, where the system is designed to function as an online admissions interface using fuzzy logic with artificial intelligence. Where the system is fully automatic, starting from processing input data and output data in the form of selection results made by the system in real-time. Fuzzy logic for the lower limit value which is considered very low is 50 and the upper limit is 55. For the low category value, the lower limit is 50 and the upper limit is 65. For medium category values the lower limit is 63 and the upper limit is 78. And for high category values, the limit is lower than 77, and an upper limit of 85. © 2021 IEEE.
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