SPM holders career path system using clustering / Nurshaheeda Shazleen Yuslee

As students are going through their academics and pursuing their interested courses, it is very important for them to assess their capabilities and identify their interests so that they will get to know in which career area they are interested with. This will help them in improving their performance...

Full description

Saved in:
Bibliographic Details
Main Author: Yuslee, Nurshaheeda Shazleen
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/31552/1/31552.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uitm-ir.31552
record_format uketd_dc
spelling my-uitm-ir.315522020-06-26T04:21:15Z SPM holders career path system using clustering / Nurshaheeda Shazleen Yuslee 2020 Yuslee, Nurshaheeda Shazleen Factor analysis. Principal components analysis. Correspondence analysis Electronic Computers. Computer Science As students are going through their academics and pursuing their interested courses, it is very important for them to assess their capabilities and identify their interests so that they will get to know in which career area they are interested with. This will help them in improving their performance and motivating their interests so that they will be directed towards their targeted career. Career is mainly one of the issues that is being debate currently in Malaysia. Career is becoming a hot issue because every year this problem keeps on repeating. There are several problems exist related to career. Firstly, students have difficulty to choose for their suitable career. Students are lack of exposure about career and expert to help them in determining their suitable career. Secondly, students are afraid of choosing the wrong career. Students nowadays enter the tertiary level not because of their own interest but follow their family passion. An example is when if elder brother study in medical course, other sibling needs to study in the same course too. Lastly, students have interest in more than one course. The model used to develop this system is waterfall model that has five phases which is planning, analysis, design, implementation and testing. This project is developed by using clustering technique to predict the suitable career of students based on their interest. Clustering will group one similarity characteristic in one group and dissimilarity in another group. Therefore, result shown that the objective has been achieved to predict the career based on the student interests. The contribution of the project is mainly for the students who have dilemma in choosing for their career. In conclusion, students who are confused and have no idea to pursue their study should consult with the counsellor or expert to know more about career. 2020 Thesis https://ir.uitm.edu.my/id/eprint/31552/ https://ir.uitm.edu.my/id/eprint/31552/1/31552.pdf text en public degree Universiti Teknologi MARA, Cawangan Melaka Faculty of Computer and Mathematical Sciences
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Factor analysis
Principal components analysis
Correspondence analysis
Factor analysis
Principal components analysis
Correspondence analysis
spellingShingle Factor analysis
Principal components analysis
Correspondence analysis
Factor analysis
Principal components analysis
Correspondence analysis
Yuslee, Nurshaheeda Shazleen
SPM holders career path system using clustering / Nurshaheeda Shazleen Yuslee
description As students are going through their academics and pursuing their interested courses, it is very important for them to assess their capabilities and identify their interests so that they will get to know in which career area they are interested with. This will help them in improving their performance and motivating their interests so that they will be directed towards their targeted career. Career is mainly one of the issues that is being debate currently in Malaysia. Career is becoming a hot issue because every year this problem keeps on repeating. There are several problems exist related to career. Firstly, students have difficulty to choose for their suitable career. Students are lack of exposure about career and expert to help them in determining their suitable career. Secondly, students are afraid of choosing the wrong career. Students nowadays enter the tertiary level not because of their own interest but follow their family passion. An example is when if elder brother study in medical course, other sibling needs to study in the same course too. Lastly, students have interest in more than one course. The model used to develop this system is waterfall model that has five phases which is planning, analysis, design, implementation and testing. This project is developed by using clustering technique to predict the suitable career of students based on their interest. Clustering will group one similarity characteristic in one group and dissimilarity in another group. Therefore, result shown that the objective has been achieved to predict the career based on the student interests. The contribution of the project is mainly for the students who have dilemma in choosing for their career. In conclusion, students who are confused and have no idea to pursue their study should consult with the counsellor or expert to know more about career.
format Thesis
qualification_level Bachelor degree
author Yuslee, Nurshaheeda Shazleen
author_facet Yuslee, Nurshaheeda Shazleen
author_sort Yuslee, Nurshaheeda Shazleen
title SPM holders career path system using clustering / Nurshaheeda Shazleen Yuslee
title_short SPM holders career path system using clustering / Nurshaheeda Shazleen Yuslee
title_full SPM holders career path system using clustering / Nurshaheeda Shazleen Yuslee
title_fullStr SPM holders career path system using clustering / Nurshaheeda Shazleen Yuslee
title_full_unstemmed SPM holders career path system using clustering / Nurshaheeda Shazleen Yuslee
title_sort spm holders career path system using clustering / nurshaheeda shazleen yuslee
granting_institution Universiti Teknologi MARA, Cawangan Melaka
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2020
url https://ir.uitm.edu.my/id/eprint/31552/1/31552.pdf
_version_ 1783734128447848448