Conference paper 2023

Decision Support System of Part-Time Job Applicants Rank for Information Technology Students Using the MOORA Method

HD
Hormansyah, Dhebys Suryani
 SE
Sintiya, Endah Septa
 AL
Affandi, Luqman
Proceeding - International Conference on Information Technology and Computing 2023, ICITCOM 2023
Conference · pp. 136-140
Abstract

working is one of students' goals when they graduate from college. The difficulty of students competing with senior workers is a significant obstacle. Experience can be gained by working part-time while still studying. The aim of this research is to create a system that bridges students with job providers, especially jobs in the IT field. The advantage of this system is that it is equipped with a ranking list using the MOORA (Multi-Objective Optimization by Ratio) method to support employee recruitment decisions. There are 8 criteria, namely study program, work and internship experience, currently undertaking a thesis, organizational experience, number of expertise certifications, project work ability, research experience and lecturer service. Several of these criteria are grouped according to the priority weight of 20% in C5 (number of expertise certifications) and 20% in C6 (ability to work on projects). The results of the ranking in the recruitment of programmer jobs for lecturer research projects with a quota of 2 people, with an alternative names are A1 and A3 recommended to be accepted for part time work. So this system can be used as decision support for hiring part-time workers. This ranking-based information system is recommended for getting the best employees from among IT students who have met several criteria. © 2023 IEEE.

Keywords

Author Keywords

Decision Support System MOORA part-time worker

Index Keywords

Students artificial intelligence Personnel Workers' Information use Decision support systems Multiobjective optimization Job applicant Multi-objective optimization by ratio Multi-objectives optimization Part time jobs Part-time worker Ranking lists Ratio method Senior worker Working parts
Author Affiliations
State Polytechnic of Malang, Malang, Indonesia
Funding & Acknowledgements
No funding information
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