Decision Support for New Employee Admissions With Profile Matching And Electre Methods

Dini Estu Sri Rahajeng(1), Iman Husni Al Amin(2),

DOI: https://doi.org/10.15294/sji.v8i1.27786


(1) Stikubank University Semarang Indonesia
(2) Stikubank University Semarang Indonesia

Abstract

Purpose: Employee turnover at large companies is something that often occurs which can result in losses to the company. Difficulties experienced by the company in selecting prospective new employees have resulted in employees being hired not following company expectations. Because of this, we need a decision support system that can help to recommend prospective new employees who match the company's criteria. Methods: The profile matching method is used to determine the alternative values and criteria from the aspects of personality, job aspects, attitudes, and social aspects of prospective new employees, while the Electre method is used to improve the ranking of the best prospective employees. Result: By eliminating the alternative value <= 1 on the line, each line is a candidate who is declared accepted with the best alternative value. Novelty: Research on decision support systems for new employee recommendations has been done a lot, but no one has combined methods Profile Matching and Electre in one system.

Keywords

New Employee Admissions System, Profile Matching, Electre Method

Full Text:

PDF

References

H. Wasiati and D. Wijayanti, “Sistem Pendukung Keputusan Penentuan Kelayakan Calon Tenaga Kerja Indonesia Menggunakan Metode Naive Bayes (Studi Kasus: Di P.T. Karyatama Mitra Sejati Yogyakarta),†IJNS - Indones. J. Netw. Secur., vol. 3, no. 2, pp. 45–51, 2014.

A. Golec and E. Kahya, “A Fuzzy Model for Competency-based Employee Evaluation and Selection,†Comput. Ind. Eng., vol. 5, pp. 143–161, 2007.

H. Mustafidah and N. H. Hadyan, “Mahasiswa Berprestasi di Universitas Muhammadiyah Purwokerto Menggunakan Metode Weighted Product (WP),†JUITA, vol. 5, no. 1, pp. 51–61, 2017.

A. A. T. Susilo, “Penerapan Metode Profile Matching pada Sistem Pendukung Keputusan Pemilihan Ketua Program Studi (Studi Kasus: Program Studi Teknik Informatika STMIK Musi Rawas),†JUITA, vol. 5, no. 2, pp. 87–93, 2017.

P. J. Scott et al., “A Review of Measurement Practice in Studies of Clinical Decision Support Systems 1998-2017,†J. Am. Med. Informatics Assoc., vol. 26, no. 10, pp. 1120–1128, 2019.

Akmaludin, M. Badrul, L. Marlinda, S. Dalis, Sidik, and B. Santoso, “The Employee Promotion Base on Specification Job’s Performance Using: MCDM, AHP, and ELECTRE Method,†2018.

A. O. P. Sahureka, “Decision Support Systems in the Placement of Electronic Officers of Indonesian Navy with Profile Matching Method,†Int. J. Eng. Res. Technol., vol. 6, no. 01, pp. 458–465, 2017.

C. H. Primasari, R. Wardoyo, and A. K. Sari, “Integrated AHP, Profile Matching, and TOPSIS for Selecting Type of Goats Based on Environmental and Financial Criteria,†Int. J. Adv. Intell. Informatics, vol. 4, no. 1, pp. 28–39, 2018.

Safrizal, L. Tanti, R. Puspasari, and B. Triandi, “Employee Performance Assessment with Profile Matching Method,†in 6th International Conference on Cyber and IT Service Management (CITSM 2018), 2019, pp. 1–6.

Soleman, “Decision Support System for Employee Candidate Selection using AHP and PM Methods,†IJACSA, vol. 10, no. 11, pp. 1–12, 2019.

A. Yanie et al., “Web Based Application for Decision Support System with ELECTRE Method,†J. Phys. Conf. Ser., vol. 1028, no. 1, 2018.

S. Sadat, S. Hossein, and R. Hajiagha, “Multicriteria Group Decision Making with ELECTRE III Method Based on Interval-valued Intuitionistic Fuzzy Information,†Appl. Math. Model., vol. 40, no. 2, pp. 1554–1564, 2016.

M. H. I. Fahmi and I. H. Al Amin, “Best Products with TOPSIS Method and Sales Forecasting with Weighted,†J. Appl. Informatics Comput., vol. 4, no. 2, pp. 116–123, 2020.

E. Sugiyarti, K. A. Jasmi, B. Bushrah, M. Huda, S. K, and A. Maseleno, “Decision Support System of Scholarship Grantee Selection using Data Mining Decision Support System of Scholarship Grantee,†Int. J. Pure Appl. Math., vol. 119, no. 15, pp. 2239–2248, 2018.

J. K. Kazak, J. Chruscinski, and S. Szewranski, “The Development of A Novel Decision Support System for the Location of Green Infrastructure for Stormwater Management,†Sustainability, vol. 10, no. 12, p. 4388, 2018.

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Scientific Journal of Informatics (SJI)
p-ISSN 2407-7658 | e-ISSN 2460-0040
Published By Department of Computer Science Universitas Negeri Semarang
Website: https://journal.unnes.ac.id/nju/index.php/sji
Email: [email protected]

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.