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Job suggestion system through academic result

Muhammad Idham, Asha’ri (2019) Job suggestion system through academic result. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang.

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Abstract

Job Suggestion System (JSS) is a web based system where it is more focused on final year student that will undergo industrial training (LI) that studied in Bachelor in Computer Science (Software Engineering) from Faculty of Computer System and Software Engineering (FSKKP) Universiti Malaysia Pahang. This system uses the list of subject and its grade that has been taken by the student in order to provide suitable job suggestion to the student. The language used in developing the system is ASP.NET and C# while for creating database to store all the information using Microsoft SQL Server. The first problem occur on the current job suggestion system does not include or considered the academic result is important as a filter into their system. The next problem is many job suggestion website give suggestion the wrong job which is no suitable to their course and qualification. There is also a system that provide not reliable job suggestion services. The main purposes of the project are to study the current job suggestion and system, evaluate the proposed system and develop a web based system that can suggest or predict a job through the academic results of the student.

Item Type: Undergraduates Project Papers
Additional Information: Project Paper (Bachelors of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang – 2019, SV: Puan Roslina binti Mohd Sidek, e-Thesis
Uncontrolled Keywords: Job Suggestion System (JSS); academic result; web based
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Sufarini Mohd Sudin
Date Deposited: 14 Nov 2019 01:18
Last Modified: 14 Nov 2019 01:18
URI: http://umpir.ump.edu.my/id/eprint/26421
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