Implementation of the Topsis and AHP Methods in the Decision Support System for Determining the Best Employees

Authors

  • Yolan Ananda Putri Universitas Putra Indonesia YPTK Padang
  • Sumijan Universitas Putra Indonesia YPTK Padang
  • Sofika Enggari Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.35134/jcsitech.v10i2.103

Keywords:

Selection of the Best Employees, Decision Support Systems, Topsis, AHP , Criteria

Abstract

Every company or agency needs Human Resources (HR) in the form of employees who have competence and good performance. Employees are one of the most important assets owned by a company. The West Sumatra Province Transportation Service is the organizer of government affairs in the field of transportation or transportation policy for the West Sumatra Province region where the selection of the best employees is still not optimal using Microsoft Excel. The aim of designing a new system at the Provincial Transportation Service is to create optimization in the assessment of each employee to facilitate the recapitulation of employee data. The data is analyzed and processed according to the research framework, namely using a Decision Support System, especially the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP) methods. In this research, 10 alternative employees were taken to be assessed. Based on formula calculations using the AHP method, it is used to determine the weighted value of each existing criterion, then the resulting values from the weighting are used to carry out rankings using the TOPSIS method. After carrying out calculations using these 2 methods, the result was that the best employee was alternative 9 in the name of Rusdi with a value of 0.9995. So with this calculation the results can show which employees have the right to be the best employees in that agency

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Published

2024-04-30

How to Cite

Putri, Y. A., Sumijan, & Enggari, S. (2024). Implementation of the Topsis and AHP Methods in the Decision Support System for Determining the Best Employees . Journal of Computer Scine and Information Technology, 10(2), 60–65. https://doi.org/10.35134/jcsitech.v10i2.103

Issue

Volume 10 Issue 2 (2024): JCSITech

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Articles

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