Penerapan Simple Additive Weighting dalam Merekomendasikan Karyawan untuk Pekerjaan Pengembangan Perangkat Lunak
Article Sidebar
Main Article Content
Abstract
Article Summary
The rapid growth of the software industry has directly increased the demand for reliable and skilled programming employees (programmers). The success of this industry heavily relies on the technical expertise of the development team, particularly in mastering programming languages and the latest technologies. Therefore, an efficient and effective system is essential for selecting the right programmer based on project requirements. This selection process can optimize resource allocation and enhance the chances of project success. This research proposes the development of an employee recommendation system based on the Simple Additive Weighting (SAW) method. The case study is applied at CV Garuda Infinity Kreasindo, a software development company located in Bandung. This system is designed to assist project managers in identifying the programmer who best fits the project's technical needs. By utilizing four criteria—specifically, the employee's programming role, the programming languages they have mastered, and their experience with databases and frameworks—decisions can be made objectively regarding the employees needed for a specific project at CV Garuda Infinity Kreasindo.
Keywords
Article Keywords
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC-BY 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- 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.
- 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.
License: All articles are licensed under 
Chen, L. C., & Utama, D. N. (2022). Decision support model for determining the best employee using fuzzy logic and simple additive weighting. Journal of Computer Science, 18(6), 530-539.
Dwivedi, A. (2025). Neuropathic Pain Market Size, Future Scope, Demands and Projected Industry Growth by 2034.
Elistri, M., Wahyudi, J., & Supardi, R. (2014). Penerapan metode saw dalam sistem pendukung keputusan pemilihan jurusan pada Sekolah Menengah Atas Negeri 8 Seluma. Jurnal Media Infotama, 10(2). https://doi.org/10.37676/jmi.v10i2.239.
Groombridge, D. (2022). Gartner top 10 strategic technology trends for 2023. https://www. gartner. com/en/articles/gartner-top-10-strategic-technology-trends-for-2023.
Ikhlas, M., Wijaya, R., & Jafnihirda, L. (2021). SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KARYAWAN BERPRESTASI MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING PADA KANTOR DINAS PERHUBUNGAN KAB. PESISIR SELATAN. Jurnal Teknoif Teknik Informatika Institut Teknologi Padang, 9(1), 34-41. https://doi.org/10.21063/jtif.2021.v9.1.34-41.
Jayanti, N. K. D. A. (2016). Implementasi Metode SAW Dan AHP Pada Sistem Informasi Penilaian Kinerja Dosen. CSRID (Computer Science Research and Its Development Journal), 8(2), 86-98.
Kotowaroo, M. Y., & Sungkur, R. K. (2022). Success and Failure Factors Affecting Software Development Projects from IT Professionals’ Perspective. In Soft Computing for Security Applications: Proceedings of ICSCS 2022 (pp. 757-772). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-3590-9_60.
Kusumasari, T., Trilaksono, B. R., & Aisha, A. N. (2020). Competency Profile for Software Development Team that Support Project Success. International Journal on Advanced Science, Engineering and Information Technology, 10. https://doi.org/10.18517/ijaseit.10.6.11674.
Kusumo, H., Solechan, A., & Febryantahanuji, F. (2023). Analysis Determination of the Best Employee Using the Simple Additive Weighting Method. Advance Sustainable Science, Engineering and Technology, 5(1), 0230108. https://doi.org/10.26877/asset.v5i1.15062.
Shidqon, M., & Gunadi, G. (2023). Sistem Pendukung Keputusan Menentukan Kelayakan Artikel Jurnal Ilmiah Dengan Metode Simple Additive Weighting (Saw)(Studi Kasus: Lembaga Penerbit Fakultas Ekonomi dan Bisnis Universitas Trisakti). Infotech: Journal of Technology Information, 9(2), 155-164. https://doi.org/10.37365/jti.v9i2.195.
Syaputra, A. E. (2023). Implementasi Metode SAW dalam Menunjang Pengambilan Keputusan Penerimaan Tenaga Kependidikan Baru. E-JURNAL JUSITI: Jurnal Sistem Informasi dan Teknologi Informasi, 12(1), 65-76. https://doi.org/10.36774/jusiti.v12i1.1280.
Taherdoost, H. (2023). Analysis of Simple Additive Weighting Method (SAW) as a Multi-Attribute Decision-Making Technique: A Step-by-Step. Taherdoost, H, 21-24. https://doi.org/10.30564/jmser.v6i1.5400.
Yatusifa, C., & Wibowo, G. W. N. (2024). Penerapan Sistem Simple Additive Weighting (SAW) dalam Pendukung Keputusan Sistem Kontrak Kerja pada PT. Chia Jiann Furniture Indonesia. Jurnal Indonesia: Manajemen Informatika dan Komunikasi, 5(3), 2813-2826. https://doi.org/10.35870/jimik.v5i3.1026.