Sistem Pendukung Keputusan Penerimaan Karyawan Menggunakan Metode WASPAS
-
Septa Fenly Sinaga
*
Universitas Budi Darma, Medan,
Indonesia
- Muhammad Syahrizal Universitas Budi Darma, Medan, Indonesia
- Ronda Deli Sianturi Universitas Budi Darma, Medan, Indonesia (*) Corresponding Author
Abstract
The problem that often occurs is that there is a discrepancy in employee acceptance data in the past by selecting employees with an attitude of not objectivity to recruiting employees. And there are still many employees who do not fit the position with the same knowledge so that when the selection of employees is not appropriate so that they are not driven forward, it will have an impact on other operations. This is certainly not very good because it can affect the smooth operation and inappropriate goals. Therefore we need an Employee Decision Support System so that this method is considered not objective because it is not in accordance with employee data. Based on these problems, it is necessary to build a Decision Support System (DSS) to support the employee recruitment process, by applying the WASPAS method. The application of the WASPAS method will be able to provide the best solution for the company in recruiting employees based on predetermined criteria. The method used in this Decision Support System is the WASPAS method, because it is very suitable for hiring employees on CV. Perfect Core Prime so that in the future because of the WASPAS method it can determine the weight value for each attribute, because it is followed by a ranking process that will select the best alternative from a number of alternatives, in this case the alternative in question is the result of the system based on the specified criteria. So as to produce more accurate employee recruitment and more precise employee targets on the CV. Perfect Core Prime
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References
Ahmad Rafiqi, Desyika, Riyansyah, H. (2018). Sistem Pendukung Penentuan Karyawan Terbaik Menggunakan Metode MOORA. 6, 723–733.
Barus, S., Sitorus, V. M., Napitupulu, D., Mesran, M., & Supiyandi, S. (2018). Sistem Pendukung Keputusan Pengangkatan Guru Tetap Menerapkan Metode Weight Aggregated Sum Product Assesment ( WASPAS ). MEDIA INFORMATIKA BUDIDARMA, 2(2), 10–15.
Daulay, N. K. (2021). Penerapan Metode Waspas Untuk Efektifitas Pengambilan Keputusan Pemutusan Hubungan Kerja. Jurnal Sistem Komputer Dan Informatika (JSON), 2(2), 196–201. https://doi.org/10.30865/json.v2i2.2773
Daulay, N. K., Intan, B., & Irvai, M. (2021). Comparison of the WASPAS and MOORA Methods in Providing Single Tuition Scholarships. The IJICS (International Journal of Informatics and Computer Science), 5(1), 84–94. https://doi.org/10.30865/ijics.v5i1.2969
Handayani, M., & Marpaung, N. (2018a). Implementasi Metode Weight Aggregated Sum Product Assesment (Waspas) Dalam Pemilihan Kepala Laboratorium. Seminar Nasional Royal (SENAR) 2018 ISSN 2622-9986 (Cetak) STMIK Royal-AMIK Royal, ISSN 2622-6510 (Online) , 9986(September), 253 – 258.
Handayani, M., & Marpaung, N. (2018b). Implementasi Metode Weight Aggregated Sum Product Assesment (Waspas) Dalam Pemilihan Kepala Laboratorium. Seminar Nasional Royal (SENAR), 1(1), 253–258.
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.
Marbun, E. D., Sinaga, L. A., Simanjuntak, E. R., Siregar, D., & Afriany, J. (2018). Penerapan Metode Weighted Aggregated Sum Product Assessment Dalam Menentukan Tepung Terbaik Untuk Memproduksi Bihun. 5(1), 24–28.
Menanti Sianturi, F. T. (2019). Sistem Pendukung Keputusan Menentukan Karyawan Terbaik Dengan Metode AHP. JISKA (Jurnal Informatika Sunan Kalijaga), 3(2), 119. https://doi.org/10.14421/jiska.2018.32-06
Mesran, M., & Daulay, N. K. (2021). Implementation of Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assessment (WASPAS) Methods in Selection of Young Lecturers with Achievements. IJISTECH (International Journal of Information System & Technology), 5(1), 84. https://doi.org/10.30645/ijistech.v5i1.118
N. S. Tanjung, P. D. Adelina, M. K. Siahaan, E. Purba, and J. A. (2018). Sistem Pendukung Keputusan Pemilihan Guru Teladan Dengan Mmenggunakan Metode Composite Performance Index (CPI). 5, 13–18.
Negoro, W. S. (2021). Decision Support System for Employee Salary Increase Eligibility Using the WASPAS. IT Journal, 9, 1–12.
Samuel Damanik, D. P. U. (2020). Implementasi Metode ROC Dan Waspas pada Sistem Pendukung Keputusan seleksi Kerjasama Vendor. … Teknologi Informasi Dan …, 4, 242–248. https://doi.org/10.30865/komik.v4i1.2690
Sarwaty Rahayu, Ahmad Juang Teguh Gumilang, Oktia Putri Bharodin, F. F. (2020). ENTROPY-SAW METHOD AND ENTROPY-WASPAS METHOD IN DETERMINING PROMOTION OF POSITION FOR BEST EMPLOYEES IN CUDO. 7(5), 1069–1078. https://doi.org/10.25126/jtiik.202072888
Silalahi, N., Tambusai, R., & Siagian, M. V. (2021). Sistem Pendukung Keputusan Seleksi Penerima Beasiswa Menerapkan Metode Weighted Aggregated Sum Product Assessment ( WASPAS ). TIN: Terapan Informatika Nusantara, 2(4), 204–211.
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