Integrated Web-Based Motorcycle Rental System with RealTime Fleet Availability Tracking
DOI:
https://doi.org/10.69916/jkbti.v5i3.526Keywords:
Sistem Informasi, Rental Motor, Codelgniter 3, Rapid Application Development (RAD)., black box testingAbstract
Supermoto Motorcycle Rental is a motorcycle rental business that still manages vehicle data, customer records, rental transactions, and operational reports through manual processes. This condition leads to several critical issues, including difficulties in data retrieval, duplicate records, vehicle data discrepancies, delays in report generation, and the inability to monitor vehicle availability in real time. This study aims to design and implement an integrated web-based motorcycle rental information system to improve operational effectiveness and efficiency. The system was developed using the Rapid Application Development (RAD) method, encompassing requirement planning, user design, construction, and implementation phases. The application was built with the PHP programming language, the CodeIgniter 3 framework implementing the Model-View-Controller (MVC) architecture, and a MySQL database for persistent data storage. Key features include motorcycle fleet management, customer data management, rental transaction processing, payment verification, real-time vehicle availability monitoring, and automated operational reporting. System functionality was rigorously evaluated using the Black Box Testing method across 15 comprehensive test scenarios covering authentication, data management, transactions, and reporting modules. The testing results demonstrated a 100% success rate across all evaluated scenarios, confirming that all system features function correctly and fully meet the specified user requirements. The developed system successfully streamlines data management, enhances data accuracy, accelerates administrative workflows, and provides real-time operational monitoring capabilities. Ultimately, this digital transformation equips Supermoto Motorcycle Rental with a reliable, secure, and scalable platform to support data-driven decision-making and elevate overall customer service quality and long-term business competitiveness.
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Copyright (c) 2026 Arrizqi Hilman Rahmatulloh, Robby Maududy
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