Journal of Computer Science Artificial Intelligence and Communications
Vol 2 No 2 (2025): November 2025

Development of an Employee Performance Monitoring Information System Using a Web-Based Interactive Dashboard

Prayoga, Abil Alwi (Unknown)
Hasanuddin, Muhammad (Unknown)
Khodijah, Siti (Unknown)
Rizki, Cindy Atika (Unknown)



Article Info

Publish Date
30 Nov 2025

Abstract

This research aims to develop an employee performance monitoring information system that utilizes a web-based interactive dashboard to enhance decision-making and managerial oversight. In many organizations, traditional performance evaluation methods are often time-consuming, static, and lack real-time insight, resulting in inefficiencies in performance tracking. To address these challenges, the proposed system is designed to provide dynamic visualization of key performance indicators (KPIs), attendance records, task completion rates, and other critical metrics through an interactive and user-friendly dashboard interface. The development process follows the Waterfall methodology, encompassing stages of requirements analysis, system design, implementation, testing, and deployment. The system was built using PHP and JavaScript for front-end interactivity, with a MySQL database to manage data storage. The dashboard includes various visual tools such as graphs, charts, and progress bars to facilitate real-time monitoring and performance analysis. Testing results indicate that the system performs effectively, offering accurate and timely information that supports employee evaluation and organizational planning. User feedback also reveals a high level of satisfaction due to the dashboard's ease of use and responsiveness. Overall, the implementation of this web-based performance monitoring system is expected to improve transparency, accountability, and productivity within the organization.

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Journal Info

Abbrev

jocsaic

Publisher

Subject

Computer Science & IT Earth & Planetary Sciences Engineering

Description

Journal of Computer Science Artificial Intelligence and Communications is a multidisciplinary, peer-reviewed journal dedicated to advancing research in computer science, artificial intelligence (AI), and communication technologies. The journal publishes high-quality original articles, reviews, and ...