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...

Full description

Saved in:

Bibliographic Details
Main Author:	Hamrizan, Siti Fatimah Azzahra
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Mathematical statistics Probabilities Data processing Instruments and machines Algorithms Data mining
Online Access:	https://ir.uitm.edu.my/id/eprint/55499/1/55499.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.55499
record_format	uketd_dc
spelling	my-uitm-ir.554992022-02-15T02:33:35Z Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan 2021-02 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 https://ir.uitm.edu.my/id/eprint/55499/ https://ir.uitm.edu.my/id/eprint/55499/1/55499.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Mohd Sabri, Norlina
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohd Sabri, Norlina
topic	Mathematical statistics Probabilities Data processing Instruments and machines Mathematical statistics Probabilities Algorithms Data mining
spellingShingle	Mathematical statistics Probabilities Data processing Instruments and machines Mathematical statistics Probabilities 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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/55499/1/55499.pdf
_version_	1783734917178327040

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

Similar Items