Implementasi Metode ARAS Pada Sistem Pendukung Keputusan Rekomendasi Penerimaan Karyawan
-
Thesa Noveninta Ginting
*
Universitas Budi Darma, Medan,
Indonesia
- Muhammad Syahrizal Universitas Budi Darma, Medan, Indonesia (*) Corresponding Author
Abstract
Recommendations for employee recruitment are a fact that in an organization is always open. With recommendations for employee recruitment, new jobs and other activities are created. PT. Pegadaian (Persero) is a State-Owned Enterprise (BUMN) in the financial sector which operates in three corporate businesses, including financing, gold and various services. PT. Pegadaian annually recruits new employees, which in the employee recruitment process here at PT. Pegadaian also recruits employees with disabilities. Disabled employees are employees who have mental, physical limitations and have extensive intellectual and sensory knowledge for a long period of time so that interacting with the environment and society can encounter obstacles that make it difficult for them to participate fully based on equal rights. The solution to the problem above is to build a decision support system for hiring disabled employees at PT. Pawnshop. The method chosen to support solving the problem above is the Additive Ratio Assessment (ARAS) method, namely by giving weight to each available alternative option. This research produces a decision support system that can recommend the acceptance of employees with disabilities at PT. Pegadaian uses the Additive Ratio Assessment (ARAS) method. A trial was carried out by entering a data sample of 15 (fifteen) employees with disabilities. With the decision support system, it can provide recommendations for accepting disabled employees at PT Pegadaian based on ranking, from 15 candidates for hiring disabled employees based on the largest ranking: Alternative 1 with a value of 0.9645, Alternative 2 with a value of 0.9139, and Alternative 3 with a value of 0. 9101
Downloads
References
Addenan, R., & Susanti, W. (2021). Penerapan Metode Rank Order Centroid dan Additive Ratio Assessment Pada Aplikasi Rekomendasi Supplier. Edumatic: Jurnal Pendidikan Informatika, 5(1), 31–40. https://doi.org/10.29408/edumatic.v5i1.3252
Efraim Turban and Jay E. Aronson. (2001). Decision Support System and Intelligent Systems.
Gaol, L. C. L., & Hasibuan, N. A. (2018). SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TEAM LEADER SHIFT TERBAIK DENGAN MENGGUNAKAN METODE ARAS STUDI KASUS PT . ANUGRAH BUSANA INDAH. Majalan Ilmiah INTI, 13.
Hasmi, M. A., Nadeak, B., & Noferianto Sitompul, M. (2018). SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN INSTRUKTUR FITNESS MENERAPKAN METODE ADDITIVE RATIO ASSESSMENT (ARAS) (STUDI KASUS : VIZTA GYM MEDAN). KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 2(1).
Kusrini. (2007). Konsep dan Aplikasi Sistem Pendukung Keputusan.
Limbong, T., Muttaqin, M., Iskandar, A., Windarto, A. P., Simarmata, J., Mesran, M., Sulaiman, O. K., Siregar, D., Nofriansyah, D., Napitupulu, D., & Anjar Wanto. (2020). Sistem Pendukung Keputusan: Metode & Implementasi. Yayasan Kita Menulis.
Mesran, M., Diansyah, T. M., & Fadlina, F. (2019). Implemententasi Metode Rank Order Cendroid (ROC) dan Operational Competitiveness Rating Analysis (OCRA) dalam Penilaian Kinerja Dosen Komputer Menerapkan (Studi Kasus: STMIK Budi Darma). Prosiding Seminar Nasional Riset Information Science (SENARIS), 1(0), 822. https://doi.org/10.30645/senaris.v1i0.89
Nofriansyah, D. (2015). Konsep Data Mining Vs Sistem Pendukung Keputusan.
Nofriansyah, D. (2017). Multi Criteria Decision Making (MCDM) Pada Sistem Pendukung Keputusan. CV.Budi Utama.
Supriyanto, Mesran, Kusnady, D., Weny, & Murtopo. (2019). Implementation of Computer-Based Systems in Efficient Credit Acceptance Decisions Applying the Additive Ratio Assessment (ARAS) Method. Journal of Physics: Conference Series, 1424(1). https://doi.org/10.1088/1742-6596/1424/1/012018
Syahputra, H., Syahrizal, M., Suginam, S., Nasution, S. D., & Purba, B. (2019). SPK Pemilihan Konten Youtube Layak Tonton Untuk Anak-Anak Menerapkan Metode Additive Ratio Assessment (ARAS). Seminar Nasional Teknologi Komputer & Sains (SAINTEKS), 1(1), 678–685.
Tetty Rosmaria Sitompul, N. A. H. (2018). SISTEM PENDUKUNG KEPUTUSAN SELEKSI TENAGA KERJA UNTUK SECURITY SERVICE MENGGUNAKAN METODE ARAS. 2.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Implementasi Metode ARAS Pada Sistem Pendukung Keputusan Rekomendasi Penerimaan Karyawan
Pages: 193-204
Copyright (c) 2022 Thesa Noveninta Ginting, Muhammad Syahrizal
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
