Decision Support System for Determining the Level of Employee Salary Increase at PT. Srikandi Inti Lestari Medan by Using the Simple Additive Weighting (SAW) Method
##plugins.themes.bootstrap3.article.sidebar##
##plugins.themes.bootstrap3.article.main##
Abstract
Employees are seen as one of the company's important assets and need to be managed and developed to support the survival and achievement of company goals. One form of employee organization that can be carried out by the company is to provide remuneration or salary payments suitable for employees. Salary increases greatly affect employee motivation and productivity in carrying out and completing their work. To determine the amount of salary increase, a system is needed that can support decision making by managers. Utilization of decision support systems using Simple Additive Weighting (SAW) method is very helpful for managers in making decisions that are faster and more accurate. The basic concept of SAW method is look for weighted sums of performance ratings on each alternative and on all attributes that require a decision matrix normalization process (X) a scale that can be compared with all available alternative ratings. This method was chosen because it was able to select the best alternative from a number of alternatives based on the specified criteria. Research was carried out by examining the weights for each attribute and then ranking it which would determine the optimal alternative.
##plugins.themes.bootstrap3.article.details##
S. Maharsi, “Pengaruh Perkembangan Teknologi Informasi Terhadap Bidang Akuntansi Manajemen,” J. Akunt. dan Keuang., vol. 2, no. 2, pp. 127–137, 2000.
A. Sudirman et al., Sistem Informasi Manajemen. Yayasan Kita Menulis, 2020.
M. Syafrizal, “Sistem Pendukung Keputusan (Decisin Support System),” Data Manaj. dan Teknol. Inf., vol. 11, no. 3, p. 77, 2010.
A. Muharsyah, S. R. Hayati, M. I. Setiawan, H. Nurdiyanto, and Y. Yuhandri, “Sistem Pendukung Keputusan Penerimaan Jurnalis Menerapkan Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA),” JURIKOM (Jurnal Ris. Komputer), vol. 5, no. 1, pp. 19–23, 2018.
R. Ahmad, “Penggunaan Sistem Pendukung Keputusan Dengan Menggunakan Metode Analytical Hirarchy Process (AHP) Dalam Menyeleksi Kelayakan Penerima Beasiswa,” METIK J., vol. 2, no. 1, pp. 28–33, 2018.
S. Pami, “Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Dengan Metode Promethee (Studi Kasus: PT. Karya Abadi Mandiri),” Pelita Inform. Inf. dan Inform., vol. 6, no. 1, pp. 125–128, 2017.
M. Angeline, “Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode Profile Matching,” J. Ilm. Smart, vol. 2, no. 2, pp. 45–51, 2018.
R. Yunitarini, “Sistem Pendukung Keputusan Pemilihan Penyiar Radio Terbaik,” J. Mikrotek, vol. 1, no. 1, pp. 43–52, 2013.
F. Nugraha, B. Surarso, and B. Noranita, “Sistem Pendukung Keputusan Evaluasi Pemilihan Pemenang Pengadaan Aset dengan Metode Simple Additive Weighting (SAW),” J. Sist. Inf. Bisnis, vol. 2, no. 2, pp. 2377–2502, 2012.
E. L. Ruskan, A. Ibrahim, and D. C. Hartini, “Sistem Pendukung Keputusan Pemilihan Hotel Di Kota Palembang Dengan Metode Simple Additive Weighting (SAW),” JSI J. Sist. Inf., vol. 5, no. 1, 2013.
S. Abadi and F. Latifah, “Decision Support System Penilaian Kinerja Karyawan Pada Perusahaan Menggunakan Metode Simple Additive Weighting,” J. TAM (Technology Accept. Model., vol. 6, pp. 37–43, 2017.
N. Nuraeni, “Penerapan Metode Simple Additive Weighting (Saw) Dalam Seleksi Calon Karyawan,” Swabumi, vol. 6, no. 1, pp. 63–71, 2018.
R. Fauzan, Y. Indrasary, and N. Muthia, “Sistem Pendukung Keputusan Penerimaan Beasiswa Bidik Misi di POLIBAN dengan Metode SAW Berbasis Web,” J. Online Inform., vol. 2, no. 2, pp. 79–83, 2018.
P. Setiaji, “Sistem Pendukung Keputusan Dengan Metode Simple Additive Weighting,” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 1, no. 1, pp. 59–67, 2012.
T. Limbong, “Implementasi Metode Simple Additive Weighting (SAW) Untuk Pemilihan Pekerjaan Bidang Informatika,” Proceeding SNIKOM, vol. 3, no. 5, pp. 6–7, 2013.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.