Development of government employee performance measurement models: Using Analytical Network Process and Simple Additive Weighting methods

All companies need qualified employees to ensure the continuity and progress of the company. Therefore, some companies are very selective in evaluating employee performance based on the criteria set by the company. However, because of the many criteria used in the assessment, a large number of contract employees to be evaluated, and the evaluation that must be proportional, the Human Resources department has difficulty evaluating the performance of contract employees. Therefore, this study aimed to develop a system for evaluating the performance of contract employees by integrating the Best-Worst (BW) and Simple Additive Weight (SAW) methods. The BW method is used to determine the weight of each criterion related to the performance appraisal of contract employees, and the SAW method is used to evaluate the performance of contract employees. The results showed that the system developed can provide a more proportional evaluation. So, this study contributes as a recommendation system for HR managers in determining eligible contract employees to have their work contracts extended based on criteria determined by the company.

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Employee Performance Assessment Using Analytical Network Process and Rating Scale

Jurnal Teknik Industri ◽

10.22219/jtiumm.vol21.no1.70-79 ◽

2020 ◽

Vol 21 (1) ◽

pp. 70

Author(s):

Riska Septifani ◽

Panji Deoranto ◽

Tiyas Widya Armanda

Keyword(s):

Performance Assessment ◽

High Performance ◽

Rating Scale ◽

Employee Performance ◽

General Counsel ◽

Analytical Network Process ◽

Network Process ◽

Low Performance ◽

Performance Ability ◽

A Company

Employee performance assessment is an essential aspect of a company. This study aims to assess employee performance based on Analytical Network Process (ANP) and rating scale. ANP was employed to determine the importance of the criteria. Meanwhile, the rating scale was used to analyze the results of the employee performance assessment. The results of the study showed the weights of the criteria. The highest to lowest weights in sequence included the skills to carry out tasks, job performance, ability to cooperate, employment relationship, and personality. Based on the assessment of fifty-three employees of HRD and Corporate Secretary and General Counsel Department, one employee showed outstanding performance, four employees exemplified high performance, forty-five employees met the standard performance, and three employees had low performance.

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A Decision Support System on Employee Assessment Using Analytical Network Process (ANP) and BARS Methods

Jurnal Teknik Informatika C.I.T Medicom ◽

10.35335/cit.vol13.2021.38.pp1-12 ◽

2021 ◽

Vol 13 (1) ◽

pp. 1-12

Author(s):

I Made Dwi Putra Asana ◽

I Gede Iwan Sudipa ◽

Kadek Ari Prayoga Putra

Keyword(s):

Decision Support ◽

Decision Support System ◽

Performance Appraisal ◽

Support System ◽

Rating Scale ◽

Employee Performance ◽

Process Data ◽

Microsoft Excel ◽

Analytical Network Process ◽

Network Process

Employee assessment is needed in evaluating performance and granting rewards to employees. PT. Kupu-Kupu Taman Lestari conducts an employee performance appraisal using Microsoft Excel. The growth of employee data and assessment variables resulted in the calculation method that was carried out could not provide employee ranking information quickly. The application of Microsoft Excel in processing employee valuation data has weaknesses in data documentation. The purpose of this study is the company has a website-based decision support system that makes it easy for companies to get employee performance appraisal information. The employee performance data ranking method used is the Analytical Network Process (ANP) and the performance evaluation criteria are prepared based on the Behaviorally Anchor Rating Scale (BARS) approach. BARS is used in determining criteria along with a scale of behavior that represents the performance of each criterion. ANP is used to process data of importance between criteria so that it can produce criteria weights based on a comparison between criteria. The results of this study are website-based decision support systems that can be accessed by company management via a web browser. System testing is built based on testing manual calculations with the system and testing the user's system according to the McCall model. The system calculation test shows that the system has produced the same calculation value as the manual calculation. System user testing shows that the system built meets user needs, displays information according to user input correctly, is safe from unauthorized parties, and the system is easy to use.

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