Staff recruitment using expert system / Mohd Hassan Fahmi Nordin

Companies nowadays had to face the challenges of hiring the right talent. The main strategy for recruiting new talent that most organizations rely on now is interview. Staff Recruitment Using Expert System is designed to choose the eligible applicant for the lecturer’s position at UiTM Terengganu. E...

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Bibliographic Details
Main Author:	Nordin, Mohd Hassan Fahmi
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Electronic data processing Information technology Knowledge economy Including artificial intelligence and knowledge management
Online Access:	https://ir.uitm.edu.my/id/eprint/35065/1/35065.pdf
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id	my-uitm-ir.35065
record_format	uketd_dc
spelling	my-uitm-ir.350652020-10-13T08:14:43Z Staff recruitment using expert system / Mohd Hassan Fahmi Nordin 2012-12 Nordin, Mohd Hassan Fahmi Electronic data processing. Information technology. Knowledge economy. Including artificial intelligence and knowledge management Applications for positions. Résumés. Employment portfolios. Including cover letters for job applications Personnel management. Employment management Companies nowadays had to face the challenges of hiring the right talent. The main strategy for recruiting new talent that most organizations rely on now is interview. Staff Recruitment Using Expert System is designed to choose the eligible applicant for the lecturer’s position at UiTM Terengganu. Expert system is one of the artificial intelligent (Al) techniques that can implement in many areas. This research is to develop a protoype of staff recruitment using expert system which inference technique had been choosen is forward chaining technique. The system will identify by using the criteria that has been set up by the admin such qualification, age, citizen, the grade of bahasa Melayu in Sijil Peperiksaan Malaysia (SPM) and compare with the criteria that has been input by the applicant. This research methodology consists of five stages which are preliminary study, knowledge acquisition and comprehension, system and rule design, system development and finally testing. The data was gathered from the Management Department in UiTM Terengganu. The system is a web-based system and developed using PHP as programming language and MySql as database tool. In future, it is recommended that the prototype can learn from experience. 2012-12 Thesis https://ir.uitm.edu.my/id/eprint/35065/ https://ir.uitm.edu.my/id/eprint/35065/1/35065.pdf text en public degree Universiti Teknologi MARA Faculty of Computer & Mathematical Sciences Puteh, Mazidah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Puteh, Mazidah
topic	Electronic data processing Information technology Knowledge economy Including artificial intelligence and knowledge management Electronic data processing Information technology Knowledge economy Including artificial intelligence and knowledge management Electronic data processing Information technology Knowledge economy Including artificial intelligence and knowledge management
spellingShingle	Electronic data processing Information technology Knowledge economy Including artificial intelligence and knowledge management Electronic data processing Information technology Knowledge economy Including artificial intelligence and knowledge management Electronic data processing Information technology Knowledge economy Including artificial intelligence and knowledge management Nordin, Mohd Hassan Fahmi Staff recruitment using expert system / Mohd Hassan Fahmi Nordin
description	Companies nowadays had to face the challenges of hiring the right talent. The main strategy for recruiting new talent that most organizations rely on now is interview. Staff Recruitment Using Expert System is designed to choose the eligible applicant for the lecturer’s position at UiTM Terengganu. Expert system is one of the artificial intelligent (Al) techniques that can implement in many areas. This research is to develop a protoype of staff recruitment using expert system which inference technique had been choosen is forward chaining technique. The system will identify by using the criteria that has been set up by the admin such qualification, age, citizen, the grade of bahasa Melayu in Sijil Peperiksaan Malaysia (SPM) and compare with the criteria that has been input by the applicant. This research methodology consists of five stages which are preliminary study, knowledge acquisition and comprehension, system and rule design, system development and finally testing. The data was gathered from the Management Department in UiTM Terengganu. The system is a web-based system and developed using PHP as programming language and MySql as database tool. In future, it is recommended that the prototype can learn from experience.
format	Thesis
qualification_level	Bachelor degree
author	Nordin, Mohd Hassan Fahmi
author_facet	Nordin, Mohd Hassan Fahmi
author_sort	Nordin, Mohd Hassan Fahmi
title	Staff recruitment using expert system / Mohd Hassan Fahmi Nordin
title_short	Staff recruitment using expert system / Mohd Hassan Fahmi Nordin
title_full	Staff recruitment using expert system / Mohd Hassan Fahmi Nordin
title_fullStr	Staff recruitment using expert system / Mohd Hassan Fahmi Nordin
title_full_unstemmed	Staff recruitment using expert system / Mohd Hassan Fahmi Nordin
title_sort	staff recruitment using expert system / mohd hassan fahmi nordin
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer & Mathematical Sciences
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/35065/1/35065.pdf
_version_	1783734287501099008

Staff recruitment using expert system / Mohd Hassan Fahmi Nordin

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