Sistem Pendukung Keputusan Menggunakan Metode SAW dan TOPSIS untuk Memutuskan Penerima Reward Karyawan Terbaik di McD Pancing

Authors

  • Cindy Ananda Putri Universitas Islam Negeri Sumatera Utara
  • Abdul Halim Hasugian Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.32493/jtsi.v7i1.38231

Keywords:

Rewards; Decision Support Systems; TOPSIS; SAW

Abstract

In every industry or institution, there will definitely be a reward in the form of income for employees as compensation for the work they have done. Apart from giving out main income rewards to employees, each industry or institution often gives out rewards in addition to main income to encourage the productivity and abilities of its employees. The rewards given to McD Pancing employees are in additional form and will be given outside of their main income. Evaluation of employee abilities is based on benchmarks that have been established by the institution. However, currently the system of giving rewards to McD Pancing employees has various shortcomings, such as giving rewards which are being tried based on individual analysis and the assessment is still individual, not transparent, less efficient and there is little precision or accuracy in giving rewards. To help select McD Pancing employees who are competent to receive rewards appropriately and carefully and respond to problems that arise, a Decision Support System (DSS) is needed as a solution to these cases. The expertise of the system for collecting decisions uses methods that have been created so that it is hoped that the assessment method will be much more accurate, efficient and efficient using the TOPSIS and SAW methods. The TOPSIS method is based on the design that the best filtered substitute not only has the shortest distance from the positive perfect solution but also has the longest distance from the minus perfect solution. Based on the results of this research, it is proven that employees who receive rewards as the best employees according to the SAW and TOPSIS method calculations are determined by employees with SAW calculation results of 87.06 and TOPSIS calculation results of 0.679 and mixed results of 43.89.

References

Aryo, Anggoro, D., Supriyanti, W., & Artikel, R. (2021). Aplikasi Sistem Pendukung Keputusan Dengan Metode AHP Untuk Pemilihan Siswa Berprestasi Di SMAN Kebakkramat. Jurnal PPKM, 6(3), 163–171.

Aulawi, H., & Jauhari, R. (2021). Analisis Keputusan Pembelian Mesin Rajut Otomatis dengan Menggunakan Metode AHP dan SAW. Jurnal Kalibrasi, 18(2), 66–71. https://doi.org/10.33364/kalibrasi/v.18-2.733

Agus Perdana Winadarto. (2019). Implementasi Metode Topsis Dan Saw Dalam Memberikan Reward Pelanggan. Klik - Kumpulan Jurnal Ilmu Komputer, 04(1), 88–101.

Aisyah, N., & Putra, A. S. (2022). Sistem Pendukung Keputusan Rekomendasi Pemilihan Manajer Terbaik Menggunakan Metode Ahp (Analytic Hierarchy Process). Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi Dan Sistem Komputer, 5(2), 7–13. Https://Doi.Org/10.55886/Infokom.V5i2.275

Augusto, J. Y. Et Al. (2019). Perbandingan Metode Topsis Dan Simple Additive Weighting Untuk Rekomendasi Penentu Penerima Beasiswa Sma Dy. Jurnal Ilmu Komputer Dan Sistem Informasi, 3(1), 73–76.

Guterres, J. A. D. (2017). Pemanfaatan Metode Saw Dan Topsis Sebagai Media Pendukung Keputusan Pemberian Bantuan Rumah Layak Huni. Prosiding Sintak 2017, 51–56.

Hidayat, R., & Darussalam, U. (2022). Perbandingan Metode Saw Dan Ahp Pada Sistem Pendukung Keputusan Web Based Seleksi Karyawan Terbaik. JIPI (Jurnal Ilmiah Penelitian Dan Pembelajaran Informatika), 7(1), 209–223. https://doi.org/10.29100/jipi.v7i1.2627

Kristiyanti, L. Et Al. (2018). Sistem Pendukung Keputusan Pemilihan Pengajar Les Privat Untuk Siswa Lembaga Bimbingan Belajar Dengan Metode Ahp (Studi Kasus Lbb System Cerdas). Jurnal Masyarakat Informatika, 4(7), 39–47. Https://Doi.Org/10.14710/Jmasif.4.7.39-47

Mahendra, I., & Suprapto, A. (2020). Penerapan Metode TOPSIS & SAW dalam Pemilihan Destinasi Wisata di Jawa Timur. Informal: Informatics Journal, 5(1). Https://Doi.Org/10.19184/Isj.V5i1.15311

Nur Ajny, A. (2020). Sistem Pendukung Keputusan Pemilihan Lipstik Dengan Analytical Hierracy Process. Jurnal Riset Sistem Informasi Dan Teknologi Informasi (JURSISTEKNI), 2(3), 1–13. https://doi.org/10.52005/jursistekni.v2i3.59

Nuraeni, N. (2020). Implementasi Metode SAW dan TOPSIS dalam Penentuan Kinerja Karyawan. Jurnal Informatika Universitas Pamulang, 5(3), 342–349.

Nurelasari, E., & Purwaningsih, E. (2020). Sistem Pendukung Keputusan Pemilihan Perumahan Terbaik Dengan Metode Topsis. Jurnal Sistem Dan Teknologi Informasi (Justin), 8(4) : 311-317. Https://Doi.Org/10.26418/Justin.V8i4.41036

Riandari, F. Et Al. (2018). Sistem Pendukung Keputusan Menggunakan Metode Topsis Dalam Memilih Kepala Departemen pada Kantor Balai Wilayah Suangai Sumatera Ii Medan. Journal Of Informatic Pelita Nusantara, 2(1), 6–13.

Saputra, G. T., & Pakereng, M. A. I. (2020). Analisis Perbandingan Metode Topsis Dan Saw Pada. Jurnal Informatika, 7(2), 156–165.

Sari, W. E. Et Al. (2021). Perbandingan Metode SAW dan TOPSIS Pada Sistem Pendukung Keputusan Seleksi Penerima Beasiswa. Jurnal Sisfokom (Sistem Informasi Dan Komputer), 10(1), 52–58. Https://Doi.Org/10.32736/Sisfokom.V10i1.1027

Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 Januari 2024

Downloads

Published

2024-01-30

How to Cite

Putri, C. A., & Hasugian, A. H. (2024). Sistem Pendukung Keputusan Menggunakan Metode SAW dan TOPSIS untuk Memutuskan Penerima Reward Karyawan Terbaik di McD Pancing. Jurnal Teknologi Sistem Informasi Dan Aplikasi, 7(1), 116–124. https://doi.org/10.32493/jtsi.v7i1.38231

Issue

Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi

Section

Article

License

Copyright (c) 2024 Cindy Ananda Putri, Abdul Halim Hasugian

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Jurnal Teknologi Sistem Informasi dan Aplikasi have CC BY-NC or an equivalent license as the optimal license for the publication, distribution, use, and reuse of scholarly work.

In developing strategy and setting priorities, Jurnal Teknologi Sistem Informasi dan Aplikasi recognize that free access is better than priced access, libre access is better than free access, and libre under CC BY-NC or the equivalent is better than libre under more restrictive open licenses. We should achieve what we can when we can. We should not delay achieving free in order to achieve libre, and we should not stop with free when we can achieve libre.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License

YOU ARE FREE TO:

  • Adapt - remix, transform, and build upon the material for any purpose, even commercially.
  • The licensor cannot revoke these freedoms as long as you follow the license terms