Jurnal Teknik Informatika C.I.T. Medicom
Vol 13 No 1 (2021): March: Intelligent Decision Support System (IDSS)

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

I Made Dwi Putra Asana (STMIK STIKOM Indonesia, Denpasar, Indonesia)
I Gede Iwan Sudipa (STMIK STIKOM Indonesia, Denpasar, Indonesia)
Kadek Ari Prayoga Putra (STMIK STIKOM Indonesia, Denpasar, Indonesia)



Article Info

Publish Date
30 Mar 2021

Abstract

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.

Copyrights © 2021






Journal Info

Abbrev

JTI

Publisher

Subject

Computer Science & IT

Description

The Jurnal Teknik Informatika C.I.T a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of ...