Job suggestion system through academic result

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....

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Bibliographic Details
Main Author: Muhammad Idham, Asha’ri
Format: Undergraduates Project Papers
Language:English
Published: 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/26421/
http://umpir.ump.edu.my/id/eprint/26421/
http://umpir.ump.edu.my/id/eprint/26421/1/Job%20suggestion%20system%20through%20academic.pdf
Description
Summary: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.