A system to predict pharmaceutical student performance using machine learning

Recently, pharmacy course is the important course as it involves human lives. Moreover, predicting of student performance is most of higher learning institutions in Malaysia. The main objective of this paper is to provide an overview on the Machine Learning technique that has been used to propose to...

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Main Author:	Nurul Nazihah, Sukor
Format:	Undergraduates Project Papers
Language:	English
Published:	2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/26401/ http://umpir.ump.edu.my/id/eprint/26401/ http://umpir.ump.edu.my/id/eprint/26401/1/A%20system%20to%20predict%20pharmaceutical%20student%20performance%20using%20machine.pdf

id	ump-26401
recordtype	eprints
spelling	ump-264012019-11-14T01:15:39Z http://umpir.ump.edu.my/id/eprint/26401/ A system to predict pharmaceutical student performance using machine learning Nurul Nazihah, Sukor QA75 Electronic computers. Computer science Recently, pharmacy course is the important course as it involves human lives. Moreover, predicting of student performance is most of higher learning institutions in Malaysia. The main objective of this paper is to provide an overview on the Machine Learning technique that has been used to propose to improve student achievement and to predict the pharmacy student will be quit or graduate of a University. There are three reasons why this is happening relate in the problem statement. Firstly is the lack of pharmacy student in the sector in the pharmaceutical industry. Second is increase the number of student from local IPT to offer a pharmacy programed and lastly is the result of pharmacist shortage that student needed. As well know, if they take the pharmaceutical subject whether they have basic or not in the pharmaceutical, the result will display many pharmacy students is failed. This is because, they still don‟t know that they still suitable with the course or not. Here, the research is very important and suitable to needs to implement a system to predict pharmaceutical student performance using machine learning. This paper also focuses on how prediction uses Machine Learning classifier and finalized model to make a prediction on new data before the student registering the pharmaceutical course from WEKA to Java code. It could bring the benefit and impact to the student. This study proposes a Machine Learning technique to predict either the pharmacy student will be quit or graduate. The classifiers are multilayer perceptron (MLP) to predict pharmaceutical student performance. Among the MLP classifier, the outstanding outcome acquire is the MLP, which achieves through 80% accuracy. Based on result from the simulation used to display the train use test with cross validation is 10 fold in MLP is 29 for 63% in correctly classified instances (true positive rate for graduate) and 17 for 36% in incorrectly classified instances (false negative rate for quit). 2019-05 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26401/1/A%20system%20to%20predict%20pharmaceutical%20student%20performance%20using%20machine.pdf Nurul Nazihah, Sukor (2019) A system to predict pharmaceutical student performance using machine learning. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Nurul Nazihah, Sukor A system to predict pharmaceutical student performance using machine learning
description	Recently, pharmacy course is the important course as it involves human lives. Moreover, predicting of student performance is most of higher learning institutions in Malaysia. The main objective of this paper is to provide an overview on the Machine Learning technique that has been used to propose to improve student achievement and to predict the pharmacy student will be quit or graduate of a University. There are three reasons why this is happening relate in the problem statement. Firstly is the lack of pharmacy student in the sector in the pharmaceutical industry. Second is increase the number of student from local IPT to offer a pharmacy programed and lastly is the result of pharmacist shortage that student needed. As well know, if they take the pharmaceutical subject whether they have basic or not in the pharmaceutical, the result will display many pharmacy students is failed. This is because, they still don‟t know that they still suitable with the course or not. Here, the research is very important and suitable to needs to implement a system to predict pharmaceutical student performance using machine learning. This paper also focuses on how prediction uses Machine Learning classifier and finalized model to make a prediction on new data before the student registering the pharmaceutical course from WEKA to Java code. It could bring the benefit and impact to the student. This study proposes a Machine Learning technique to predict either the pharmacy student will be quit or graduate. The classifiers are multilayer perceptron (MLP) to predict pharmaceutical student performance. Among the MLP classifier, the outstanding outcome acquire is the MLP, which achieves through 80% accuracy. Based on result from the simulation used to display the train use test with cross validation is 10 fold in MLP is 29 for 63% in correctly classified instances (true positive rate for graduate) and 17 for 36% in incorrectly classified instances (false negative rate for quit).
format	Undergraduates Project Papers
author	Nurul Nazihah, Sukor
author_facet	Nurul Nazihah, Sukor
author_sort	Nurul Nazihah, Sukor
title	A system to predict pharmaceutical student performance using machine learning
title_short	A system to predict pharmaceutical student performance using machine learning
title_full	A system to predict pharmaceutical student performance using machine learning
title_fullStr	A system to predict pharmaceutical student performance using machine learning
title_full_unstemmed	A system to predict pharmaceutical student performance using machine learning
title_sort	system to predict pharmaceutical student performance using machine learning
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26401/ http://umpir.ump.edu.my/id/eprint/26401/ http://umpir.ump.edu.my/id/eprint/26401/1/A%20system%20to%20predict%20pharmaceutical%20student%20performance%20using%20machine.pdf
first_indexed	2023-09-18T22:41:05Z
last_indexed	2023-09-18T22:41:05Z
_version_	1777416919751589888

A system to predict pharmaceutical student performance using machine learning

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