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

Closed

Dhebys Suryani Hormansyah, Endah Septa Sintiya, Luqman Affandi

2023 Proceeding - International Conference on Information Technology and Computing 2023, ICITCOM 2023 Conference paper Cited by 0 Quartile

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.

Affiliations

Politeknik Negeri Malang, Department of Information Technology, Malang, Indonesia