Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik dengan Menggunakan Metode Simple Additive Weighting (SAW)

Authors

  • Nunung Ismawati Universitas Alma Ata Yogyakarta
  • Dhina Puspasari Wijaya Universitas Alma Ata Yogyakarta
  • Andri Pramuntadi Universitas Alma Ata Yogyakarta
  • Dita Danianti Universitas Alma Ata Yogyakarta

DOI:

https://doi.org/10.31004/jutin.v7i3.31493

Keywords:

Decision Support System, Best Employee, Simple Additive Weighting

Abstract

In human resource management, employee performance is one of the most important elements and must receive full attention from an organization. This is because employee performance is a determinant in achieving organizational goals efficiently and effectively. Therefore, every organization always strives to improve the performance of its employees in order to get the best employees according to the agency. This research develops a Decision Support System (SPK) for selecting the best employees using the Simple Additive Weighting (SAW) method at the Education, Youth and Sports Office (Dikpora) of Bantul Regency, Yogyakarta. The purpose of the research is to create an efficient and objective system in employee evaluation and selection. The SAW method was chosen for its simplicity and effectiveness in handling multi-criteria decisions. Employee performance is assessed based on criteria such as attendance, skills, teamwork, and loyalty, with weights according to their level of importance. This system is built with web technology using PHP, MySQL, and CodeIgniter framework. The results of this system can be accessed easily by users, providing transparency in the assessment process. Based on the results of the calculation, the employee with alternative A1 and obtained a score of 0.925% on behalf of (Albertus Dedi Susilo) became the first rank of the best employee.

References

Adom, A. Y., Ayitey, C., & Boateng, L. (2020). Effects of Non-Monetary Incentives on Employee Performance: a Case of Selected. International Journal of Current Research, 12(3), 10585–10598.

Alma, U., & Yogyakarta, A. (2024). Vol.22 No. 1, 22(1), 19–28.

Danianti, D., Saputra, A. H., Ata, U. A., & Indonesia, U. I. (n.d.). PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING DALAM PENENTUAN LOKASI CABANG MINIMARKET TWINS MART DI DAERAH SLEMAN Universitas Alma Ata , 2 Universitas Islam Indonesia.

Ihsani, I., Pramuntadi, A., Gutama, D. H., & Wijaya, D. P. (2022). Implementasi Algoritma Genetika Dalam Penentuan Rute Optimal Untuk Kurir Kantor Pos Berbasis Web (Studi Kasus: Kantor Pos Wates). Indonesian Journal of Business Intelligence (IJUBI), 5(2), 76. https://doi.org/10.21927/ijubi.v5i2.2662

M Teguh Prihandoyo. (2018). Unified Modeling Language (UML) Model Untuk Pengembangan Sistem Informasi Akademik Berbasis Web. Jurnal Informatika: Jurnal Pengembangan IT, 3(1), 126–129.

Muhamad Hafiez, T., Soemantri, E., Tinggi, S., Komputer, I., & Karya Informatika, C. (2022). Implementasi Metode SAW Dalam Menentukan Supplier Terbaik Pada PT.Senjaya Rejekimas. Jurnal JUPITER, 14(2), 374–383.

Penta, M. F., Siahaan, F. B., & Sukamana, S. H. (2019). Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode SAW pada PT. Kujang Sakti Anugrah. JSAI (Journal Scientific and Applied Informatics), 2(3), 185–192. https://doi.org/10.36085/jsai.v2i3.410

peraturan daerah. (2022). profil-sejarah-pembentukan. Retrieved July 18, 2022, from https://dikpora.bantulkab.go.id/hal/profil-sejarah-pembentukan

Sugiyono. (2016). Metode Penelitian Kuantitatif, Kualitatif dan R and D. Bandung: Alfabeta.

Downloads

Published

2024-07-10

How to Cite

Ismawati, N. ., Wijaya , D. P. ., Pramuntadi, A. ., & Danianti, D. . (2024). Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik dengan Menggunakan Metode Simple Additive Weighting (SAW). Jurnal Teknik Industri Terintegrasi (JUTIN), 7(3), 1757–1767. https://doi.org/10.31004/jutin.v7i3.31493

Issue

Section

Articles of Research