Sistem Pendukung Keputusan untuk Penilaian Staff Divisi Purchasing Menggunakan Metode SAW dan ROC

  • Syarif Hidayatullah Universitas Pakuan
  • Heri Bambang Santoso Universitas Pakuan
Keywords: Evaluation, Combination, Multi-criteria, ROC, SAW

Abstract

Purchasing Division Staff is an individual who is responsible for managing the procurement process of goods or services needed by the organization. They have a crucial role in ensuring the availability of materials or services of the highest quality, competitive prices, and delivery times that suit operational needs. Their main duties include analyzing needs, finding and evaluating suppliers, negotiating contracts, and monitoring supplier compliance with agreed agreements. The combination of the SAW and ROC methods creates an effective approach in multi-criteria decision support systems, by integrating the strengths of both methods. The advantage of this combination is the integration of ROC which ensures the weighting of criteria is based on the order of importance systematically, while SAW simplifies the process of calculating the final score. The ranking results obtained by TF Staff ranked the highest with a score of 0.8736, showing the most superior performance among all purchasing staff. The second position was occupied by AE Staff with a score of 0.8568, who also had a very good performance although slightly lower than TF Staff. DP staff is in third place with a score of 0.8086, still in the strong and competitive performance category. These results provide an objective picture of the order of purchasing staff performance based on the criteria that have been evaluated.

References

S. Kucuksari, D. Pamucar, M. Deveci, N. Erdogan, and D. Delen, “A new rough ordinal priority-based decision support system for purchasing electric vehicles,” Inf. Sci. (Ny)., vol. 647, p. 119443, 2023.

I. Naz et al., “Integrated Geospatial and Geostatistical Multi-Criteria Evaluation of Urban Groundwater Quality Using Water Quality Indices,” Water, vol. 16, no. 17, p. 2549, Sep. 2024, doi: 10.3390/w16172549.

M. Deveci, A. R. Mishra, I. Gokasar, P. Rani, D. Pamucar, and E. Ozcan, “A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse,” IEEE Trans. Fuzzy Syst., vol. 31, no. 2, pp. 475–484, Feb. 2023, doi: 10.1109/TFUZZ.2022.3190613.

F. Psarommatis and D. Kiritsis, “A hybrid Decision Support System for automating decision making in the event of defects in the era of Zero Defect Manufacturing,” J. Ind. Inf. Integr., vol. 26, p. 100263, Mar. 2022, doi: 10.1016/j.jii.2021.100263.

T. Dhiki, “Sistem Pendukung Keputusan Pemilihan Kost Di Sekitaran Kampus Universitas Flores Menggunakan Metode Simple Additive Weighting (Saw),” JUPITER J. Penelit. Ilmu dan Teknol. Komput., vol. 14, no. 2-b SE-Articles, pp. 413–422, Feb. 2023, doi: 10.5281./5148/5.jupiter.2022.10.

H. Aulawi, F. Nuraeni, R. Setiawan, W. F. Rianto, A. Surya Pratama, and H. Maulana, “Simple Additive Weighting in the Development of a Decision Support System for the Selection of House Construction Project Teams,” in 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE), Feb. 2023, pp. 517–522. doi: 10.1109/ICCoSITE57641.2023.10127813.

T. Tensen and G. Gusrianty, “Sistem Penunjang Keputusan Pemilihan Lokasi Usaha Dengan Metode Simple Additive Weighting,” J. Mhs. Apl. Teknol. Komput. dan Inf., vol. 6, no. 1, pp. 6–11, 2024.

C. Z. Radulescu and M. Radulescu, “A Hybrid Group Multi-Criteria Approach Based on SAW, TOPSIS, VIKOR, and COPRAS Methods for Complex IoT Selection Problems,” Electronics, vol. 13, no. 4, p. 789, Feb. 2024, doi: 10.3390/electronics13040789.

Z. Liu, Q. Han, C. Zhang, and W. Li, “Experimental investigation of two-phase heat transfer in saw-tooth copper microchannels,” Int. J. Therm. Sci., vol. 196, p. 108740, Feb. 2024, doi: 10.1016/j.ijthermalsci.2023.108740.

H. X. Thinh, “The Use of SAW, RAM and PIV Decision Methods in Determining the Optimal Choice of Materials for the Manufacture of Screw Gearbox Acceleration Boxes,” Int. J. Mech. Eng. Robot. Res., vol. 13, no. 3, 2024.

M. O. Esangbedo, J. Xue, S. Bai, and C. O. Esangbedo, “Relaxed Rank Order Centroid Weighting MCDM Method With Improved Grey Relational Analysis for Subcontractor Selection: Photothermal Power Station Construction,” IEEE Trans. Eng. Manag., 2022, doi: 10.1109/TEM.2022.3204629.

H. I. Santoso, “Seleksi Penerimaan Programmer Menggunakan Simple Multi Attribute Rating Technique Method (SMART Method) dan Rank Order Centroid,” J. Inf. Technol. Softw. Eng. Comput. Sci., vol. 2, no. 1, pp. 31–39, 2024.

R. Mugiarso, “PENENTUAN PERINGKAT PELANGGAN TERBAIK MENGGUNAKAN METODE RANK ORDER CENTROID DAN WEIGHTED PRODUCT (STUDI KASUS ONESNET),” Aisyah J. Informatics Electr. Eng., vol. 5, no. 2, pp. 135–140, 2023.

T. Widodo, “Kombinasi Simple Additive Weighted dan Rank Order Centroid Dalam Pemilihan Vendor Catering,” Chain J. Comput. Technol. Comput. Eng. Informatics, vol. 2, no. 1, pp. 11–18, 2024.

S. Fatimah and T. Ardiansah, “Kombinasi Metode MOORA dan Rank Order Centroid dalam Sistem Pendukung Keputusan Pemilihan Supplier Produk Sepatu,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 5, no. 1, pp. 28–38, 2024, doi: 10.30865/klik.v5i1.1856.

E. Rahmayana, “Penerapan Metode Simple Additive Weighting (SAW) dan Rank Order Centroid Dalam Analisis Kinerja Pegawai Honorer,” Resolusi Rekayasa Tek. Inform. dan Inf., vol. 4, no. 5, pp. 494–501, 2024.

Published
2024-10-15
How to Cite
Hidayatullah, S., & Santoso, H. B. (2024). Sistem Pendukung Keputusan untuk Penilaian Staff Divisi Purchasing Menggunakan Metode SAW dan ROC. Journal of Information Technology, Software Engineering and Computer Science, 2(4), 171-181. https://doi.org/10.58602/itsecs.v2i4.160