International Journal of Artificial Intelligence
Vol 10 No 1: June 2023

Career Finder System using Rule-Based Filtering for University Student Candidates

Fikri Nur Izzudin Amir Hamzah (Unknown)
Ahmad Fadli Saad (Unknown)
Ismail Yusuf Panessai (Unknown)



Article Info

Publish Date
12 Jun 2023

Abstract

As a current reality, students are frequently questioned about a suitable career path for the future, but they are unaware of the jobs offered by current industries. Moreover, students seeking university admission frequently encounter difficulties selecting courses and educational programs, and they are confronted with a variety of available courses. This research aims to make a mobile application for students to obtain employment career options appropriate to their educational qualifications because student is often asked about a suitable career for their future but have no idea about the available career path that appropriate. The methodology that implements in this research is Mobile Application Development Life Cycle (MADLC) that have four phases which is identification, design, development, and testing. The Visual Studio Code with Flutter plugin is used to develop the mobile application and its function. Firebase is used to get the database to store all the data and works as backend function of the application. The finished system was tested accordingly based on the functionality that listed all available function of the system. The system considers students' educational qualifications and academic achievements to provide personalized recommendations. This system can assist students in making career decisions and pursuing the right career path, saving them time, and reducing the risk of making wrong choices. This research indicates understanding the importance of career decision-making for students before continuing their university studies. In conclusion, this research seeks to enhance the ability of students to make decision of the available career path provided through recommendation system.

Copyrights © 2023






Journal Info

Abbrev

ijai

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

The aim is to publish high-quality articles dedicated to Artificial Intelligence. IJAI published in biannual, and in Indonesian, Malay and ...