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Journal : Jurnal Informatika Universitas Pamulang

Analysis and Design of Decision Support System for Employee Performance Appraisal with Simple Additive Weighting (SAW) Method Taufiq, Rohmat; Septarini, Ri Sabti; Hambali, Ahmad; Yulianti, Yulianti
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6777

Abstract

The decision support system (DSS) for employee performance appraisal is a decision support system used in the employee performance appraisal process at PT. Surya Toto Tbk. Currently, the employee performance appraisal process still done manually (paper-based) so that the reports produced were not real-time. From the existing problems, this research aimed to analyze and design a decision support system according to the existing criteria using the Simple Additive Weighting (SAW) method to be able to develop into a Web-based DSS. The method used began with communication with management, especially the perpetrators of employee performance appraisals. Furthermore, planning, the process of data collection, analysis, design, and finally making reports carried out. The conclusion of this study provided a suggestion to use the criteria that had given two more criteria. By giving weights and calculations carried out for three employees, the value obtained for employee C got the highest score (0.98) followed by employee B, and the lowest score (0.85) was employee A.
Implementasi MADM TOPSIS dalam Pemilihan Karyawan Baru pada PT Arthawenasakti Gemilang Berbasis Web Septarini, Ri Sabti; Taufiq, Rohmat; Handayani, Nurdiana; Asy’arie, Zain Ibrahim
Jurnal Informatika Universitas Pamulang Vol 6, No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i4.14428

Abstract

Recruiting new employees is the process of selecting potential employees to attract talented employees who will join the company later. Improve your company's productivity by hiring new employees who meet your company's standards. In addition to the development of information and communication technology, it is considered necessary to use a decision support system for recruiting new employees to facilitate the management process in the selection of new employees. One of the decision support system methods that can be used in the potential employee selection process is the Order Preference Method (TOPSIS), which resembles an ideal solution. In this study, we developed system applications using PIECES system analysis techniques, system development techniques using waterfall models using Unified Modeling Language (UML) models, application development using Sublime, and devices using black boxes. Describes the test. The end result of hiring an employee using a decision support system provides managers with hiring recommendations and is already available as a web-based hiring system.