JEECS (Journal of Electrical Engineering and Computer Sciences)
Vol. 9 No. 1 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences)

Decision Support System for Determination Exemplary Employees Using Simple Additive Weighting Method (Case Study: BKN Office Yogyakarta)

Wahyu Widodo (STMIK El Rahma Yogyakarta)
Siswaya Siswaya (STMIK El Rahma Yogyakarta)
Sony Satya Nugraha (STMIK El Rahma Yogyakarta)



Article Info

Publish Date
30 Jun 2024

Abstract

The selection of exemplary employees is an annual event divided into three categories: civil servants, non-civil servants, and outsourced employees. Selection is based on four criteria: performance quality, discipline percentage, moral behavior, and leadership quality. The Assessment Team's assessment process for exemplary employees is carried out by recapitulating the assessment data for each work unit and determining exemplary employees from the recapitulation results using a manual form for evaluating employee performance within BKN Yogyakarta. Manual assessment requires quite a long time and has the risk of errors during the calculation process, so researchers see the need for a decision support system for selecting exemplary employees using the Simple Additive Weighting (SAW) method. This system helps the personnel department quickly and accurately rank exemplary employees. The system calculation results use the SAW method with 6 alternative employees with each score: Sudi 1, Heru 0.9, Vivid 0.82, Anjas 0.82, Tri 0.75, and Suwar 0.5. Sudi received the highest score and was designated as a model employee for this period.

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Journal Info

Abbrev

jeecs

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

We aims to promote high-quality Electrical Engineering and Computer Sciences research among academics and practitioners alike, including power system, electrical engineering, industry automation, mechatronics, computer sciences, informatics, and information system. This journal is dedicated for the ...