Jurnal Computer Science and Information Technology (CoSciTech)
Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)

Pengembangan Sistem Informasi Cerdas Career Guidance Berbasis Minat Di Perguruan Tinggi

Haerani, Elin (Unknown)
Syafria, Fadhilah (Unknown)
Muhammad Yusuf Fadhillah (Unknown)



Article Info

Publish Date
20 Dec 2024

Abstract

The development of an intelligent information system career guidance based on interests is designed to address the difficulties faced by high school graduates in determining their major in higher education. Difficulties often arise due to confusion caused by a lack of guidance and information. To help address this issue, an intelligent interest- based major recommendation information system was developed using the breadth-first search (BFS) method, which consists of 8 interest categories based on the Rothwell-Miller Interest Blank theory (RMIB). This intelligent information system can provide direction and guidance (career guidance) to students in determining the right major according to their interests. Career guidance application services are highly needed by students who are currently in their unstable teenage years, struggling to determine their paths. This system generates output in the form of major recommendations along with related information. The system is built with PHP and MySQL and tested using the user acceptance test (UAT).

Copyrights © 2024






Journal Info

Abbrev

coscitech

Publisher

Subject

Computer Science & IT

Description

Jurnal CoSciTech (Computer Science and Information Technology) merupakan jurnal peer-review yang diterbitkan oleh Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Univeritas Muhammadiyah Riau (UMRI) sejak April tahun 2020. Jurnal CoSciTech terdaftar pada PDII LIPI dengan Nomor ISSN ...