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Automated Personality Inventory System

Sidek, Mohd Aziezie (2008) Automated Personality Inventory System. Universiti Teknologi PETRONAS. (Unpublished)

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Abstract

An automated Personality Inventory system is a system that will help organization, managers, or people to understand the personality of someone. The system is called SMN Personality Inventory Solution. 1bis system will help to improve the quality of employee. Currently, the traditional system of personality inventory test is not very practical as the user has to wait for quite a number of times before getting the results. The objective is to develop an automate Personality Inventory system that can be use as the assessment tool for any organization especially for the Human Resource Department to assess their employee. The system will focus on Sidek's Personality Inventory (IPS) as the personality inventory. IPS has been developed to determine the characteristic of individual personality trets. The methodology used in developing this system is Spiral model as few prototypes have to be developed before come out with the final system. The system will be developed using an Open Source web programming language such as Hypertext Preprocessor (PHP) or Java. The system will also use MySQL as the database server. The web server for this system will be Apache. As the conclusion, the system will be beneficial to all organizations, employers and also employee. As for the organization and employee, they can use this system to filters up the candidate that want to work for their company. Organization and employer can know with ease the individual that is qualified for the job that they advertise. As for the employee or student or anyone, they can know their personality type and can improve themselves from there.

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Separation Process
Subject: Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Users 2053 not found.
Date Deposited: 24 Oct 2013 14:54
Last Modified: 25 Jan 2017 09:45
URI: http://utpedia.utp.edu.my/id/eprint/9765

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