METHOD COMPARISON ANALYSIS SIMPLE ADDITIVE WEIGHTING (SAW) WITH WEIGHTED PRODUCT (WP) METHOD IN SUPPORTING THE DECISION TO ACCEPT NEW EMPLOYEES

  • Idham Ramadhan Universitas Teknologi Yogyakarta
  • Umar Zaky Universitas Teknologi Yogyakarta
Keywords: Selection, Prospective Employees, SAW, WP, Gunung Jati Hospital.

Abstract

Employee selection is the first step in a company or agency that aims to obtain qualified and competent human resources that will serve and do all the work on an instinct. The process of selection of prospective employees has two decisions that are accepted and rejected. When an agency or company is unable to determine the human resources that fit the required criteria, it will be very detrimental for an agency or company more than the number of prospective employees who register will be troublesome in terms of calculation and determining competent human resources and in accordance with the required criteria. In this case to minimize or solve the problem, the author designed and built a system to help the agencies, especially Gunung Jati Regional Hospital (RSD) in terms of the selection of new employee admissions. The development of this system by analyzing two methods, namely Simple Additive Weighting (SAW) method with Weighted Product (WP) method with the specified criteria. These two methods will be compared to get a good method and relevant to be applied in the selection of new employees at Gunung Jati Hospital so that the human resources received really match the needs of the agency. Analysis is carried out using the accuracy of each method by referring to the original data owned by the institution. The result of saw method conformity or percentage level is 99.959996% with an accuracy value of 84% and wp method of 99.959992% with an accuracy value of 76%. Thus the SAW method is the most relevant method to solve the problem of receiving new employees.

 

References

[1] N. Nurjaya, “Perbandingan Metode Saw Dengan Metode WP Pada Sistem Seleksi Karyawan Tetap,” SNTIBD, vol. 2, no. 1, pp. 369–372, 2017.
[2] Kusrini, “Konsep dan Aplikasi Sistem Pendukung Keputusan.” Andi Publisher, 2007.
[3] Y. Melia, “Multi attribute decision making using simple additive weighting and weighted product in investment,” Int. Acad. J. Bus. Manag., vol. 3, no. 7, pp. 1–15, 2016.
[4] M. Yazdani, P. Zarate, A. Coulibaly, and E. K. Zavadskas, “A group decision making support system in logistics and supply chain management,” Expert Syst. Appl., vol. 88, pp. 376–392, Dec. 2017, doi: 10.1016/j.eswa.2017.07.014.
[5] S. Kusumadewi, S. Hartati, A. Harjoko, and R. Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). 2006.
[6] M. N. H. Alvianto and S. Saifullah, “Sistem Pendukung Keputusan Pemilihan Cafe di Yogyakarta dengan Menggunakan Metode Simple Additive Weighting (SAW),” J. Innov. Inf. Technol. Appl., vol. 2, no. 01, pp. 47–55, Jun. 2020, doi: 10.35970/jinita.v2i01.187.
[7] E. D. Sri Mulyani, “Analisis Perbandingan Sistem Pendukung Keputusan Menggunakan Metode SAW Dengan WP Dalam Pemberian Pinjaman,” CogITo Smart J., vol. 5, no. 2, p. 239, Dec. 2019, doi: 10.31154/cogito.v5i2.151.239-251.
[8] H. Rizqifaluthi, Rahmawati, F. Amri, and M. A. Yaqin, “Optimasi Penjadwalan Kegiatan Sekolah Menggunakan Metode Weighted Product (WP),” J. Vocat. Tek. Elektron. dan Inform., vol. 8, no. 1, pp. 1–6, 2020.
[9] P. P. Andika, M. Gumanti, and S. Mukodimah, “Perbandingan Metode Simple Additive Weighting (SAW) dan Weighted Product (WP) Untuk Penilaian Rumah Sehat,” JTKSI (Jurnal Teknol. Komput. dan Sist. Informasi), vol. 3, no. 2, pp. 93–99, 2019.
[10] E. Sulistiyaningsih, Y. Suyanto, and S. Priyanta, “Perbandingan Metode Penilaian Sederhana dan Kombinasi SPK-360 Derajat dalam Penilaian Kinerja Petugas Kebersihan,” BIMIPA, vol. 25, no. 2, pp. 191–203, 2018.
Submitted
2020-03-10
Accepted
2020-07-08
How to Cite
Ramadhan, I., & Zaky, U. (2020). METHOD COMPARISON ANALYSIS SIMPLE ADDITIVE WEIGHTING (SAW) WITH WEIGHTED PRODUCT (WP) METHOD IN SUPPORTING THE DECISION TO ACCEPT NEW EMPLOYEES. International Journal of Engineering Technology and Natural Sciences, 2(1), 11-17. https://doi.org/10.46923/ijets.v2i1.66