Decision Support System for Determining the Level of Employee Salary Increase in CV. Zada Bata Karya, Using the Simple Additive Weighting (SAW) Method
##plugins.themes.bootstrap3.article.main##
Abstract
Employees are seen as one of the important company assets and need to be managed and developed to support the survival and achievement of company goals. One form of organizing employees that can be done by the company is to provide remuneration or appropriate salary payments for employees. Salary increases greatly affect the motivation and productivity of employees in carrying out and completing their work. To determine the amount of salary increase, we need a system that can support decision making by managers. Utilization of a decision support system using the Simple Additive Weighting (SAW) method is very helpful for managers in making decisions that are faster and more accurate. The basic concept of the SAW method is to find the weighted sum of the performance ratings on each alternative and on all attributes that require the normalization process of the decision matrix (X) to a scale that can be compared with all existing alternative ratings. This method was chosen because it is able to select the best alternative from a number of alternatives based on the specified criteria. The research was conducted by finding the weight value for each attribute and then ranking it to determine the optimal alternative.
##plugins.themes.bootstrap3.article.details##
S. Saliman, “Mengenal DEcision Support System (DSS),” EFISIENSI-Kajian Ilmu Adm., vol. 10, no. 1, 2015.
D. Adhar, “Sistem Pendukung Keputusan Pengangkatan Jabatan Karyawan pada PT. Ayn dengan Metode Profile Matching,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 1, no. 1, pp. 16–29, 2014.
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.
R. Yunitarini, “Sistem Pendukung Keputusan Pemilihan Penyiar Radio Terbaik,” J. Mikrotek, vol. 1, no. 1, pp. 43–52, 2013.
Y. V. Via, B. Nugroho, and A. Syafrizal, “Sistem Pendukung Keputusan Klasifikasi Tingkat Keganasan Kanker Payudara Dengan Metode Naive Bayes Classifier,” SCAN-Jurnal Teknol. Inf. dan Komun., vol. 10, no. 2, pp. 63–68, 2015.
S. Dharwiyanti and R. S. Wahono, “Pengantar Unified Modeling Language (UML),” IlmuKomputer. com, pp. 1–13, 2003.
L. P. Dewi and Y. Sudianto, “IMPLEMENTASI USE CASE DRIVEN OBJECT MODELLING PADA PERANCANGAN SISTEM INFORMASI (VERIFIKASI DATA SISWA DAN CETAK BUKTI PENERIMAAN REKOMENDASI),” IMPLEMENTASI USE CASE DRIVEN OBJECT MODELLING PADA PERANCANGAN SISTEM INFORMASI (VERIFIKASI DATA SISWA DAN CETAK BUKTI PENERIMAAN REKOMENDASI). Teknik Informatika Universitas Kristen Petra, 2012.
N. Rohman, “SISTEM PENDISTRIBUSIAN INFORMASI JADUAL UJIAN STMIK MARDIRA INDONESIA DENGAN MENGGUNAKAN LAYANAN PROTOCOL DATA UNIT (PDU TYPE),” J. Comput. Bisnis, vol. 2, no. 2, pp. 80–95, 2008.
N. Rolly and N. Hakiem, “Pengembangan Aplikasi Mobile Academic Information System (AIS) Berbasis Android untuk Pengguna Dosen dan Mahasiswa (Studi Kasus: Pusat Teknologi Informasi dan Pangkalan Data (Pustipanda) UIN Syarif Hidayatullah Jakarta),” J. Tek. Inform., vol. 8, no. 1, 2015.
A. Helsalia, H. Pratama, M. Kristiani, and Y. B. Marpaung, “Perancangan Aplikasi Pemesanan Obat di Apotek Dengan Analisis Design UML Yang Menerapkan GIS dan LBS.”
I. FAUZI, “Rancang Bangun Sistem Informasi Geografis Apotek 24 Jam Di Jakarta Berbasis Web,” J. Satya Inform., pp. 1–11, 2013.
I. Arfyanti and E. Purwanto, “Aplikasi Sistem Pendukung Keputusan Pemberian Kelayakan Kredit Pinjaman Pada Bank Rakyat Indonesia Unit Segiri Samarinda Dengan Metode Fuzzy MADM (Multiple Attribute Decission Making) Menggunakan SAW (Simple Additive Weighting),” Semantik, vol. 2, no. 1, 2012.
N. Nuraeni, “Penerapan Metode Simple Additive Weighting (Saw) Dalam Seleksi Calon Karyawan,” Swabumi, vol. 6, no. 1, pp. 63–71, 2018.
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.
F. A. Sianturi and M. Sitorus, “Kombinasi Metodesimpleadditiveweighting (Saw) Denganalgoritma Nearest Neighbor Untuk Rekruitmen Karyawan,” J. Mantik Penusa, vol. 3, no. 2, Des, 2019.
S. Nurlela, A. Akmaludin, S. Hadianti, and L. Yusuf, “Penyeleksian jurusan terfavorit pada smk sirajul falah dengan metode saw,” J. Pilar Nusa Mandiri, vol. 15, no. 1, pp. 1–6, 2019.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.