Unit Kesihatan UiTM (Perak) appointment scheduling system using Genetic Algorithm (GA) / Nur Amiera Abdul Rahman

Alhamdulillah, my heartfelt thanks and gratitude to Allah SWT, that he was willing to give a chance with the good health and leisure time to complete this final year project proposal titled Unit Kesihatan UiTM (Perak) Appointment Scheduling System Using Genetic Algorithm (GA). The final year project...

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Main Author: Abdul Rahman, Nur Amiera
Format: Thesis
Language:en
Published: 2014
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/65228/2/65228.pdf
https://ir.uitm.edu.my/id/eprint/65228/
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author Abdul Rahman, Nur Amiera
author_facet Abdul Rahman, Nur Amiera
author_sort Abdul Rahman, Nur Amiera
building Tun Abdul Razak Library
collection Institutional Repository
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
continent Asia
country Malaysia
description Alhamdulillah, my heartfelt thanks and gratitude to Allah SWT, that he was willing to give a chance with the good health and leisure time to complete this final year project proposal titled Unit Kesihatan UiTM (Perak) Appointment Scheduling System Using Genetic Algorithm (GA). The final year project has been properly drawn for Universiti Teknologi Mara (UiTM), basically for the students to complete the degree program leading to a Bachelor of Science (Hons) in Computer Science. First and foremost, l would like to thank Mrs. Siti Khatijah Nor Binti Abdul Rahim as a lecturer for the subject of Project Formulation CSP600, Mr. Mohamed lmran Mohamed Ariff as a lecturer for the subject Project CSP650. I also wish to thank the project supervisor, Mr Ahmad Farid Bin Najmuddin for his supervision of the work done for this project proposal. He also passed on a lot of knowledge, experience and share ideas for the project and takes the time to improve the lack of projects. Special appreciation also goes to my beloved mother, Normah binti Samah for her patience, supportive words and devotion that give me the strength to carry out this research. I am grateful and thankful to my family for the support and motivation and prepared the funding for me during my studies. Last but not least, my highest gratitude to my classmates who had helped me during the project preparation.
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spelling my.uitm.ir-652282022-09-08T03:16:00Z https://ir.uitm.edu.my/id/eprint/65228/ Unit Kesihatan UiTM (Perak) appointment scheduling system using Genetic Algorithm (GA) / Nur Amiera Abdul Rahman Abdul Rahman, Nur Amiera Electronic Computers. Computer Science Algorithms Web-based user interfaces. User interfaces (Computer systems) Alhamdulillah, my heartfelt thanks and gratitude to Allah SWT, that he was willing to give a chance with the good health and leisure time to complete this final year project proposal titled Unit Kesihatan UiTM (Perak) Appointment Scheduling System Using Genetic Algorithm (GA). The final year project has been properly drawn for Universiti Teknologi Mara (UiTM), basically for the students to complete the degree program leading to a Bachelor of Science (Hons) in Computer Science. First and foremost, l would like to thank Mrs. Siti Khatijah Nor Binti Abdul Rahim as a lecturer for the subject of Project Formulation CSP600, Mr. Mohamed lmran Mohamed Ariff as a lecturer for the subject Project CSP650. I also wish to thank the project supervisor, Mr Ahmad Farid Bin Najmuddin for his supervision of the work done for this project proposal. He also passed on a lot of knowledge, experience and share ideas for the project and takes the time to improve the lack of projects. Special appreciation also goes to my beloved mother, Normah binti Samah for her patience, supportive words and devotion that give me the strength to carry out this research. I am grateful and thankful to my family for the support and motivation and prepared the funding for me during my studies. Last but not least, my highest gratitude to my classmates who had helped me during the project preparation. 2014 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/65228/2/65228.pdf Unit Kesihatan UiTM (Perak) appointment scheduling system using Genetic Algorithm (GA) / Nur Amiera Abdul Rahman. (2014) Degree thesis, thesis, Universiti Teknologi MARA, Perak. <http://terminalib.uitm.edu.my/65228.pdf>
spellingShingle Electronic Computers. Computer Science
Algorithms
Web-based user interfaces. User interfaces (Computer systems)
Abdul Rahman, Nur Amiera
Unit Kesihatan UiTM (Perak) appointment scheduling system using Genetic Algorithm (GA) / Nur Amiera Abdul Rahman
title Unit Kesihatan UiTM (Perak) appointment scheduling system using Genetic Algorithm (GA) / Nur Amiera Abdul Rahman
title_full Unit Kesihatan UiTM (Perak) appointment scheduling system using Genetic Algorithm (GA) / Nur Amiera Abdul Rahman
title_fullStr Unit Kesihatan UiTM (Perak) appointment scheduling system using Genetic Algorithm (GA) / Nur Amiera Abdul Rahman
title_full_unstemmed Unit Kesihatan UiTM (Perak) appointment scheduling system using Genetic Algorithm (GA) / Nur Amiera Abdul Rahman
title_short Unit Kesihatan UiTM (Perak) appointment scheduling system using Genetic Algorithm (GA) / Nur Amiera Abdul Rahman
title_sort unit kesihatan uitm (perak) appointment scheduling system using genetic algorithm (ga) / nur amiera abdul rahman
topic Electronic Computers. Computer Science
Algorithms
Web-based user interfaces. User interfaces (Computer systems)
url https://ir.uitm.edu.my/id/eprint/65228/2/65228.pdf
https://ir.uitm.edu.my/id/eprint/65228/
url_provider http://ir.uitm.edu.my/