Jurnal Teknik Informatika (JUTIF)
Vol. 5 No. 1 (2024): JUTIF Volume 5, Number 1, February 2024

JOB-POSITION RECOMMENDER SYSTEM USING KNOWLEDGE BASED RECOMMENDATION METHOD AT ATMI POLYTECHNIC SURAKARTA

Pratiwi, Dinita Christy (Unknown)
Atina, Vihi (Unknown)
Maulindar, Joni (Unknown)



Article Info

Publish Date
12 Feb 2024

Abstract

ATMI Polytechnic Surakarta, one of the vocational colleges in Surakarta, currently has 152 employees and 13 managerial positions. The human resource management (HRM) unit has a strategy for selecting study program leaders and managers, but the procedure is still done by hand and is not based on standardized calculations. Therefore, a job-position recommender system is needed. This system aims to recommend candidates with the highest similarity score to the desired job criteria. The recommendation system was developed using the Knowledge-Based Recommendation method and the system development method employs a prototype. The stages included communication, quick planning, quick design modeling, prototype construction, and deployment, delivery and feedback. The calculation results show that an employee with the initials ADR has the highest similarity score for the job-position as head of the D3 Industrial Mechanical Engineering (TMI) study program with a score of 0.87. Therefore, this system can be used as a reference mechanism in building a job recommendation system at ATMI Polytechnic Surakarta.

Copyrights © 2024






Journal Info

Abbrev

jurnal

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknik Informatika (JUTIF) is an Indonesian national journal, publishes high-quality research papers in the broad field of Informatics, Information Systems and Computer Science, which encompasses software engineering, information system development, computer systems, computer network, ...