Application of Simple Additive Weighting (SAW) Method in Determining Employee Bonus (Case Study: PT. Wana Anugrah Albasindo)
DOI:
https://doi.org/10.35870/jtik.v8i1.1450Keywords:
Decision Support System, SAW, Bonus, EmployeeAbstract
The agency will provide a salary as compensation for an employee's work. In addition to providing a basic wage, each agency often provides salary bonuses however, PT. Wana Anugrah Albasindo has difficulty distributing rewards to employees based on the performance of their employees, so decision support is needed based on the performance of each employee. The research data used criteria such as Presence, Number of Overtime Hours, and Length of Work. Based on the results and discussion of this research, it can be concluded that the application of determining employee bonuses with the SAW method is beneficial for PT. Wana Anugrah Albasindo is more transparent in deciding employee bonuses at PT. Wana Anugrah Albasindo determines the weight value of each assessment criterion in the form of attendance with a percentage of 50%, the number of overtime hours at 30%, and the length of work at 20%.
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References
Manurung, N., 2017. Sistem Pendukung Keputusan Pemberian Bonus Karyawan Menggunakan Metode Ahp. (JurTI) Jurnal Teknologi Informasi, 1(1), pp.48-53.
Stevanus, R., Handayani, R.I. and Kristiyanti, D.A., 2018. Sistem Pendukung Keputusan Pemberian Bonus Karyawan Menggunakan Metode Ahp Pada Rumah Sakit Buah Hati Ciputat. Jurnal Pilar Nusa Mandiri, 14(2), pp.267-274. DOI: https://doi.org/10.33480/pilar.v14i2.78.
Apandi, S., Veza, O., Majid, S. and Panessai, I.Y., 2020. Determination of Employee Bonuses Using the Analytic Network Process Method at PT. Global Harvest Precision Engineering. Journal of Engineering, Technology, and Applied Science (JETAS), 2(1), pp.51-58. DOI: https://doi.org/10.36079/lamintang.jetas-0201.94.
Pungkasanti, P.T. and Handayani, T., 2017. Penerapan analytic network process (ANP) pada sistem pendukung keputusan. Jurnal Transformatika, 14(2), pp.66-71. DOI: http://dx.doi.org/10.26623/transformatika.v14i2.437.
Sahdan, M., Innuddin, M. and Abdillah, M.N., 2020. Sistem Pendukung Keputusan Penentuan Bonus Karyawan dengan Metode Fuzzy-SAW Berbasis Web (Studi Kasus PT. Bunga Raya). Informatics and Digital Expert (INDEX), 2(2). DOI: https://doi.org/10.36423/index.v2i02.586.
Irawan, Y., 2020. Decision support system for employee bonus determination with web-based simple additive weighting (SAW) method in PT. Mayatama Solusindo. Journal of Applied Engineering and Technological Science (JAETS), 2(1), pp.7-13. DOI: https://doi.org/10.37385/jaets.v2i1.162.
Yulisman, Y. and Wahyuni, R., 2021. Sistem Pendukung Keputusan Penentuan Bonus Karyawan Dengan Metode SAW Pada PT. Delima Makmur Aceh Singkil. JTIM: Jurnal Teknologi Informasi Dan Multimedia, 3(2), pp.78-90. DOI: https://doi.org/10.35746/jtim.v3i2.154.
Muttaqin, I.N., Sanjaya, A. and Utomo, W.C., 2023, July. Rancang Bangun Sistem Pendukung Keputusan Penentuan Gaji Dan Bonus Karyawan. In Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) (Vol. 7, No. 3, pp. 1091-1098). https://doi.org/10.29407/inotek.v7i3.3541.
Trisnawati, T., Puastuti, D. and Sholeha, L., 2020. Pemilihan media pembelajaran terbaik sebagai sarana pembelajaran yang efektif menggunakan metode SAW. Jurnal Penelitian Ilmu Pendidikan, 13(1), pp.72-84. DOI: http://dx.doi.org/10.21831/jpipfip.v13i1.30474.
Tou, N., Endraswari, P.M. and Nur, Y.S.R., 2023. Pemilihan Mahasiswa Berprestasi Menggunakan Algoritma AHP (Studi Kasus: Fakultas Teknik UBB). JIKA (Jurnal Informatika), 7(1), pp.46-53. DOI: http://dx.doi.org/10.31000/jika.v7i1.7129.
Sihotang, F.P., 2021. Implementasi Metode Weighted Product (WP) pada Sistem Pendukung Keputusan Pemberian Bonus Karyawan. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 8(4), pp.2158-2170. DOI: https://doi.org/10.35957/jatisi.v8i4.1179.
Safrizal., Komara, P.W., 2020. Sistem Pendukung Keputusan Pemberian Bonus Tahunan Karyawan Dengan Metode Simple Additive Weighting (SAW). Jurnal Satya Informatika, 5(01), pp.53-64. DOI: https://doi.org/10.59134/jsk.v5i01.45.
Manullang, M.A. and Fahmi, H., 2021. Sistem Pendukung Keputusan Pemberian Kredit Sepeda Motor Pada PT Adira Finance Medan Menggunakan Metode SAW. Jurnal Nasional Komputasi dan Teknologi Informasi, 4(2). pp. 143–148.
Ramadhan, M.R., Nizam, M.K. and Mesran, M., 2021. Penerapan Metode SAW (Simple Additive Weighting) Dalam Pemilihan Siswa-Siswi Berprestasi Pada Sekolah SMK Swasta Mustafa. TIN: Terapan Informatika Nusantara, 1(9), pp.459-471.
Juansen, M., Defit, S. and Sumijan, S., 2020. Akurasi Penjurusan Bidang Keahlian Teknik Komputer dan Informatika Menggunakan Metode SAW. Jurnal Sistim Informasi dan Teknologi, pp.77-83. DOI: https://doi.org/10.37034/jsisfotek.v2i3.26.
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