Recommendation for Prospective Permanent Employees using the Simple Additive Weighting Method
DOI:
https://doi.org/10.35134/jcsitech.v10i4.113Keywords:
Decision Support System, Simple Additive Weighting, Employees, Accuracy.Abstract
The rapid development of technological progress has made the use of personal computer technology increase significantly, where this use has made computers into branches that can still be developed, one of which is creating a decision-making system. Decision Support System is a computer-based system that is intended to assist decision making by utilizing certain data and models to solve various semi-structured problems. The application of Decision Support Systems can be found in various fields, one of which is a decision support system for prospective employees. This study aims to design a system that can provide the best decision in determining permanent employees at J&T Express Kotanopan. The method used in this study is the SAW (Simple Additive Weighting) method, with a website-based decision support system that can be used without time and place constraints, it can help J&T Express in selecting permanent employees. The results of testing this method have an accuracy level of more than 90% based on the data tested. Based on the results of the highest value obtained using the SAW method, this study was successful in determining permanent employees at J&T Express Kotanopan
References
Arif, MD (2016). LKP: Building a Wireless Network Based on Mikrotik Routers Using Vlan at BPD. Gapensi East Java Province (Doctoral dissertation, Stikom Surabaya Business and Informatics Institute)
Ahmad, R. (2018). The Use of Decision Support Systems Using the Analytical Hierarchy Process (AHP) Method in Selecting Eligibility of Scholarship Recipients. Metik Journal, 2(1), 28-33.
Seran, F., Kelen, YP, & Nababan, D. (2023). Decision Support System for Determining Majors Using the Weighted Product Method. Jurnal Tekno Kompak, 17(1), 147-159. https://doi.org/10.33365/jtk.v17i1.2154
Pertiwi, IP, Fedinandus, F., & Limantara, AD (2019). Decision Support System for Family Hope Program (PKH) Recipients Using the Simple Additive Weighting Method. CAHAYAtech, 8(2), 182-195.
Muljadi, NAUN, Widekso, W., & Atmojo, WT (2022). Comparison of TOPSIS Decision Support System with VIKOR in Selecting Cooperation Relationships. Techno. Com, 21(2), 224-236. https://doi.org/10.33633/tc.v21i2.5889
Sanjaya, HT, & Mardika, BD (2022). Factors Affecting Leadership: Work Quality, Work Effectiveness, and Work Communication (Work Quality Literature Review). Journal of Information Systems Management Economics, 3(3), 300-311. https://doi.org/10.31933/jemsi.v3i3.820
Adhika, NR, Salain, PPP, Puspitawati, NMD, Rismawan, PAE, Rihayana, IG, & Arsha, IMRM (2022). The Influence of Creativity on the Relationship between Job Satisfaction and Employee Performance in Cooperatives in North Denpasar District. Widya Management, 4(2), 101-110. https://doi.org/10.32795/widyamanajemen.v4i2
Muis, MR, Jufrizen, J., & Fahmi, M. (2018). The influence of organizational culture and organizational commitment on employee performance. Jesya (Journal of Economics and Islamic Economics), 1(1), 9-25. https://doi.org/10.36778/jesya.v1i1.7
Musfikar, R., Maulida, D., & Hazrullah, H. (2023). Implementation of the Simple Additive Weighting Algorithm in the selection of Scholarship recipients at UIN Ar-Raniry. Journal of Informatics Management (JAMIKA), 13(1), 52-61. https://doi.org/10.34010/jamika.v13i1.8837
Ismanto, E., & Effendi, N. (2017). Employee Recruitment Decision Support System Using Simple Additive Weighting (SAW) Method. SATIN-Science and Information Technology, 3(1), 1-9. https://doi.org/10.33372/stn.v3i1.208
Harsiti, H., & Aprianti, H. (2017). Smartphone Selection Decision Support System by Applying Simple Additive Weighting (SAW) Method. JSiI (Journal of Information Systems), 4. https://doi.org/10.30656/jsii.v4i0.372
Simarmata, J., Limbong, T., Aritonang, M., & Sriadhi, S. (2018). Decision support system for selecting computer science teachers using the simple additive weighting (saw) method. CESS (Journal of Computer Engineering, System and Science), 3(2), 186-190. https://doi.org/10.24114/cess.v3i2.10400
Penta, MF, Siahaan, FB, & Sukamana, SH (2019). Decision Support System for Selecting the Best Employees Using the SAW Method at PT. Kujang Sakti Anugrah. JSAI (Journal of Scientific and Applied Informatics), 2(3). https://doi.org/10.36085/jsai.v2i3.410
Pertiwi, C., & Diana, A. (2020). Application of the Best Employee Assessment Decision Support System Using the AHP and SAW Methods. Bit (Faculty of Information Technology, Budi Luhur University), 17(1), 23-30. http://dx.doi.org/10.36080/bit.v17i1.1000
Kusnadi, Y., & Dwiyansyah, MW (2020). Decision Support System for Scholarship Acceptance Using Simple Additive Weighting (SAW) Method at Smkn 1 Ciomas, Bogor Regency. J. Technol. Inform. and Comput, 6(1), 120-131.
Sembiring, F., Fauzi, MT, Khalifah, S., Khotimah, AK, & Rubiati, Y. (2020). Decision Support System for Covid 19 Assistance Recipients Using the Simple Additive Weighting (SAW ) Method ( Case Study: Sundawenang Village). Explore: Journal of Information Systems and Telematics, 11(2), 97-101.
Satria, B., & Tambunan, L. (2020). Decision Support System for Recipients of Decent Housing Assistance Using FMADM and SAW. JOINTECS (Journal of Information Technology and Computer Science), 5(3), 167-176. https://doi.org/10.31328/jointecs.v5i3.1361
Supriadi, A., Nugroho, A., & Romli, I. (2018). Decision support system to determine the best students using the simple additive weighting (saw) method. ELTIKOM Journal: Journal of Electrical Engineering, Information Technology and Computers, 2(1), 26-33. https://doi.org/10.31961/eltikom.v2i1.39
Saputra, CA (2018). Design of Decision Support System for Teacher Performance Assessment Using Saw Method at Sman 15 Tangerang. Sisfokom Journal (Information and Computer Systems), 7(1), 75-80. https://doi.org/10.32736/sisfokom.v7i1.297
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