Mobile application: career pathway recommendation system for pure science student / Nor Farhana Sulaiman

Students are often faced with the challenge of deciding on a career path. This study will develop a mobile application system and utilize the internet to use it for the career pathway recommendation system. The accuracy of this system is important to ensure the career are match with the students...

Full description

Saved in:
Bibliographic Details
Main Author: Sulaiman, Nor Farhana
Format: Thesis
Language:English
Published: 2022
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/59313/2/59313.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uitm-ir.59313
record_format uketd_dc
spelling my-uitm-ir.593132022-08-23T01:27:18Z Mobile application: career pathway recommendation system for pure science student / Nor Farhana Sulaiman 2022 Sulaiman, Nor Farhana Electronic Computers. Computer Science Application software Android Fuzzy logic Students are often faced with the challenge of deciding on a career path. This study will develop a mobile application system and utilize the internet to use it for the career pathway recommendation system. The accuracy of this system is important to ensure the career are match with the students' academic achievements The project aims to develop career pathway recommendation system for student. To develop career pathway recommendation system for student, this project decided to use ANN technique with the features of mobile application system, based on academic result. The technology will be mobile application which convenience for the student to access the system in their gadget. Flutter will be used to develop the mobile application, with ready to use widgets, it will be fast development. 2022 Thesis https://ir.uitm.edu.my/id/eprint/59313/ https://ir.uitm.edu.my/id/eprint/59313/2/59313.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Isawasan, Pradeep
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Isawasan, Pradeep
topic Electronic Computers
Computer Science
Application software
Android
Fuzzy logic
spellingShingle Electronic Computers
Computer Science
Application software
Android
Fuzzy logic
Sulaiman, Nor Farhana
Mobile application: career pathway recommendation system for pure science student / Nor Farhana Sulaiman
description Students are often faced with the challenge of deciding on a career path. This study will develop a mobile application system and utilize the internet to use it for the career pathway recommendation system. The accuracy of this system is important to ensure the career are match with the students' academic achievements The project aims to develop career pathway recommendation system for student. To develop career pathway recommendation system for student, this project decided to use ANN technique with the features of mobile application system, based on academic result. The technology will be mobile application which convenience for the student to access the system in their gadget. Flutter will be used to develop the mobile application, with ready to use widgets, it will be fast development.
format Thesis
qualification_level Bachelor degree
author Sulaiman, Nor Farhana
author_facet Sulaiman, Nor Farhana
author_sort Sulaiman, Nor Farhana
title Mobile application: career pathway recommendation system for pure science student / Nor Farhana Sulaiman
title_short Mobile application: career pathway recommendation system for pure science student / Nor Farhana Sulaiman
title_full Mobile application: career pathway recommendation system for pure science student / Nor Farhana Sulaiman
title_fullStr Mobile application: career pathway recommendation system for pure science student / Nor Farhana Sulaiman
title_full_unstemmed Mobile application: career pathway recommendation system for pure science student / Nor Farhana Sulaiman
title_sort mobile application: career pathway recommendation system for pure science student / nor farhana sulaiman
granting_institution Universiti Teknologi MARA, Perak
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/59313/2/59313.pdf
_version_ 1783735027026100224