Analysis Determination of the Best Employee Using the Simple Additive Weighting Method

Haryo Kusumo, Achmad Solechan, Febryantahanuji Febryantahanuji

Abstract


In a company, quality human resources are very important to carry out business processes in accordance with the vision and mission that has been set. CV. Jaya Abadi is a company engaged in the procurement and repair services of various electronic devices and was founded in 2015. To encourage the creation of ever-increasing performance productivity, CV. Jaya Abadi selects the best employees using a decision support system. One of the methods used is the Simple Additive Weighting (SAW) method. In this study, the data used consisted of internal data and external data. There are several criteria that are taken into consideration in selecting the best employees, namely discipline, quality of work, cooperation, and behavior. The SAW method is proven to be effective and practical in calculating to determine the best employee recommendations at CV. Jaya Abadi. Thus, decision makers can consider these recommendations according to the priorities set.


Keywords


Decision Support System, Selection of the Best Employees, Simple Additive Weighting

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References


O. Rizan, C. Kirana, Hamidah, Hengki, HA Pradana, and A. Pangestu, “Determination of the Best Employees to Improve Service Quality using the SAW Algorithm,” 2021, doi: 10.1109/ICORIS52787.2021.9649524.

L. Karlitasari, D. Suhartini, and Benny, “Comparison of simple additive weighting (SAW) and composite performance index (CPI) methods in employee remuneration determination," inIOP Conference Series: Materials Science and Engineering, 2017, vol. 166, no. 1, doi: 10.1088/1757-899X/166/1/012020.

E. Simanjuntak and B. Sinaga, "Decision Support System for Determining the Best Hospital Nurses Grandmed Method Using Simple Additive Weighting (SAW),"J.Comput. Networks, Archit. High Performance. Comput., vol. 2, no. 1, 2020, doi: 10.47709/cnapc.v2i1.357.

M. Hasanudin, Y. Marli, and B. Hendriawan, "Decision Support System for Selection of the Best Employees Using the Analytical Hierarchy Process Method (Case Study at Pt. Bando Indonesia),"Monday. Nas. Technol. inf. and Multimed. 2018, vol. 6, no. 3, 2018.

B. Setiadji and S. Sofiana, "The Best Employee Selection Recommendation System Using the TOPSIS Method in Bussan Auto Finance,"J. Inform. Univ. Pamulang, vol. 1, no. 1, 2016.

MA Budhi and R. Wardoyo, "Group Decision Support System Determination of the Best Employee Using Topsis and Borda,"IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 11, no. 2, 2017, doi: 10.22146/ijccs.22773.

Painem and H. Soetanto, “Decision support system with simple additive weighting for recommending the best employee,” 2019, doi: 10.23919/EECSI48112.2019.8977031.

C. Kustandi, A. Reni, Hariyadi, T. Suharto, and N. Lestari, "Providing the best employee rewards using the decision support system method,"int. J. Adv. sci. Technol., vol. 29, no. 3, 2020.

Z. Jabrayilova, “The principles of developing a management decision support system for scientific employees,”EUREKA, Phys. Eng., vol. 2019, no. 4, 2019, doi: 10.21303/2461-4262.2019.00951.

D. Kurniawati, D. Kusumawati, and M. Arifah, “Developing a Decision Support System with Dynamic Criteria for The Best Employee Assessment,”J.Int. Conf. Proc., vol. 2, no. 2, 2019, doi: 10.32535/jicp.v2i2.603.

H. Kusumo, “DECISION SUPPORT SYSTEM FOR SELECTION OF STUDENTS ACHIEVEMENT AS SCIENCE OLYMPIC PARTICIPANTS USING THE SIMPLE ADDITIVE WEIGHTING (SAW) METHOD,”J. Technol. inf. AND Communion., vol. 9, no. 2, 2020, doi: 10.51903/jtikp.v9i2.157.

B. Efiriyanto, "Decision Support System Using the Simple Additive Weighting (SAW) Method to Determine the Best Employees at Web-Based Motorcycle Dealers,"Fac. commun. and Informs. UMS, 2016.

M. Marbun, M. Zarlis, and Z. Nasution, “Analysis of the Application of the SAW, WP and TOPSIS Methods in Decision Support System Determining Scholarship Recipients at University,” inJournal of Physics: Conference Series, 2021, vols. 1830, no. 1, doi: 10.1088/1742-6596/1830/1/012018.

R. Taufiq, RS Septarini, A. Hambali, and Y. Yulianti, "Analysis and Design of Decision Support System for Employee Performance Appraisal with Simple Additive Weighting (SAW) Method,"J. Inform. Univ. Pamulang, vol. 5, no. 3, 2020, doi: 10.32493/informatika.v5i3.6777.

E. Putra, “Decision support system election of the best employees AT PT. Sukma Jaya Mandiri with Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) method,"J. Adv. Res. Dyn. Control System., vol. 9, no. 16, 2017.




DOI: https://doi.org/10.26877/asset.v5i1.15062

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Advance Sustainable Science, Engineering and Technology (ASSET)

E-ISSN: 2715-4211
Published by Science and Technology Research Centre

Universitas PGRI Semarang, Indonesia

Website: http://journal.upgris.ac.id/index.php/asset/index 
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