Jurnal E-Komtek
Vol 6 No 2 (2022)

Decision Support System to Determine the Best Employees at Yogi Banyumas Repair Shop using Topsis Method

Banu Dwi Putranto (Universitas Amikom Purwokerto)
Ari Waluyo (Politeknik Piksi Ganesha Indonesia)
Abdul Azis (Universitas Amikom Purwokerto)
Ranggi Praharaningtyas Aji (Universitas Amikom Purwokerto)
Riska Praise (Universitas Amikom Purwokerto)



Article Info

Publish Date
31 Dec 2022

Abstract

The assessment system to determine the best employees at the Yogi shop has not been systemized. It is still limited to the regular assessment assessing the best employees to get an annual bonus based on the owner and manager's assessment, so it seems less accurate and less targeted towards employees who will be given annual bonuses. This study aims to build a decision support system to determine the best employees using the TOPSIS method to make it easier for owners and managers to determine the best employees. The data processing method in this study is the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. The criteria used in this research are attendance, work attitude, responsibility, discipline, cooperation and creativity. From the results of the tests, it concluded that the blackbox testing process was successful. The results of this study are a decision support system to determine the best employees at the Yogi Banyumas store.

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Journal Info

Abbrev

E-KOMTEK

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Jurnal E-Komtek (Elektro-Komputer-Teknik) is a Journal that contains scientific articles in the form of research results, analytical studies, application of theory, and discussion of various problems relating to Electrical, Computer, and Automotive Mechanical ...