Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan

Malaysian University English Test (MUET) has been used to measure students' English proficiency level before entering bachelor programmes in Malaysian universities. UiTM offers English language proficiency courses (ELC) for semester 1 to semester 3 diploma students to prepare them for MUET. The...

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Main Author: Hamrizan, Siti Fatimah Azzahra
Format: Thesis
Language:English
Published: 2021
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Online Access:https://ir.uitm.edu.my/id/eprint/55499/1/55499.pdf
https://ir.uitm.edu.my/id/eprint/55499/
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spelling my.uitm.ir.554992022-02-15T02:33:35Z https://ir.uitm.edu.my/id/eprint/55499/ Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan Hamrizan, Siti Fatimah Azzahra Mathematical statistics. Probabilities Data processing Instruments and machines Electronic Computers. Computer Science Algorithms Data mining Malaysian University English Test (MUET) has been used to measure students' English proficiency level before entering bachelor programmes in Malaysian universities. UiTM offers English language proficiency courses (ELC) for semester 1 to semester 3 diploma students to prepare them for MUET. The exam results from the ELC can be the features to help the students to know if they can pass the MUET exam and the lecturers can figure out which language skills need to be improved to help preparing the students to sit for MUET. The study aims to explore the K-Nearest Neighbour (KNN) algorithm in solving the MUET result prediction problem, to develop a prototype of MUET result prediction based on the KNN algorithm and to evaluate the accuracy of the KNN algorithm in MUET result prediction. The machine learning technique used to develop the prediction prototype is the KNN algorithm. The results show that the highest average accuracy was at 65.294% and the percentage error was at 25.490%. Some additional future works should be applied to improve the algorithm performance are to add more data, use other related results as the features and compare the KNN algorithm to other algorithm. 2021-02 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/55499/1/55499.pdf ID55499 Hamrizan, Siti Fatimah Azzahra (2021) Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan. Degree thesis, thesis, Universiti Teknologi MARA, Terengganu.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Mathematical statistics. Probabilities
Data processing
Instruments and machines
Electronic Computers. Computer Science
Algorithms
Data mining
spellingShingle Mathematical statistics. Probabilities
Data processing
Instruments and machines
Electronic Computers. Computer Science
Algorithms
Data mining
Hamrizan, Siti Fatimah Azzahra
Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan
description Malaysian University English Test (MUET) has been used to measure students' English proficiency level before entering bachelor programmes in Malaysian universities. UiTM offers English language proficiency courses (ELC) for semester 1 to semester 3 diploma students to prepare them for MUET. The exam results from the ELC can be the features to help the students to know if they can pass the MUET exam and the lecturers can figure out which language skills need to be improved to help preparing the students to sit for MUET. The study aims to explore the K-Nearest Neighbour (KNN) algorithm in solving the MUET result prediction problem, to develop a prototype of MUET result prediction based on the KNN algorithm and to evaluate the accuracy of the KNN algorithm in MUET result prediction. The machine learning technique used to develop the prediction prototype is the KNN algorithm. The results show that the highest average accuracy was at 65.294% and the percentage error was at 25.490%. Some additional future works should be applied to improve the algorithm performance are to add more data, use other related results as the features and compare the KNN algorithm to other algorithm.
format Thesis
author Hamrizan, Siti Fatimah Azzahra
author_facet Hamrizan, Siti Fatimah Azzahra
author_sort Hamrizan, Siti Fatimah Azzahra
title Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan
title_short Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan
title_full Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan
title_fullStr Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan
title_full_unstemmed Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan
title_sort prediction of muet result based on knn algorithm / siti fatimah azzahra hamrizan
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/55499/1/55499.pdf
https://ir.uitm.edu.my/id/eprint/55499/
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score 13.211869