Employee Performance Decision Support System – Outstanding Employee Selection

Web Development ·

SPKSAWWebDecision Support SystemSAW Method

The Employee Performance Decision Support System is a web-based application developed to assist organizations in objectively selecting outstanding employees based on predefined performance criteria. The system utilizes the Simple Additive Weighting (SAW) method, one of the most widely used Multi-Criteria Decision Making (MCDM) techniques, to provide accurate, transparent, and data-driven employee evaluations.

Traditional employee selection processes often rely on subjective assessments, which can lead to inconsistencies and bias. This system addresses those challenges by implementing a structured evaluation framework where employee performance is assessed across multiple criteria such as attendance, discipline, productivity, teamwork, responsibility, work quality, and professional attitude.

The application automates the entire decision-making process, including criteria management, weight assignment, score normalization, ranking calculations, and final result generation. By applying the SAW algorithm, the system calculates weighted scores for each employee and generates rankings based on overall performance, ensuring fairness and transparency in the selection process.

Built with Laravel, the platform provides an intuitive administrative dashboard that enables HR personnel and management teams to manage employee data, configure assessment criteria, perform evaluations, and generate reports efficiently. Detailed ranking reports and historical evaluation records help organizations monitor employee performance trends over time and support strategic human resource decisions.

The system enhances the effectiveness of employee recognition programs by providing a reliable and measurable approach to identifying top-performing employees while reducing administrative workload and human error.

Key Features:

  • Employee data management

  • Performance evaluation management

  • Dynamic criteria and sub-criteria configuration

  • Criteria weighting system

  • SAW (Simple Additive Weighting) calculation engine

  • Score normalization process

  • Automated employee ranking generation

  • Outstanding employee selection reports

  • Historical evaluation records

  • Role-based access management

  • HR and management dashboard

  • Data visualization and reporting

  • Exportable evaluation results

  • Responsive web-based interface

Tech Stack:

  • Backend: Laravel

  • Frontend: Blade, Bootstrap, JavaScript

  • Database: MySQL

  • Authentication: Laravel Authentication

  • Methodology: Simple Additive Weighting (SAW)

  • Reporting: PDF & Excel Export