Faiz Argya Putra Maulana
Universitas Sebelas Maret

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Sistem Informasi Jasa Rental Kamera dan Fotografi Berbasis Web Faiz Argya Putra Maulana; Daffa Aryan Purbowo; Ahmad Nurhatif
INDOTERA - Indonesian Dissemination of Engineering and Applied Technology Research Applications Vol. 2 No. 3 (2026): INDOTERA Vol.2 No.3 Th.2026
Publisher : Bisnis Inovasi Pendidikan dan Teknologi (BIPTEK)

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Abstract

GLX Cam camera rental business in Kota XYZ  Regency still records rental transactions manually, resulting in inefficient data management, information retrieval, report generation, and customer service, while increasing the risk of errors. This study aims to design and develop a web-based Camera Rental and Photography Service Information System to improve rental management and facilitate online booking for customers.The system was developed using the Waterfall methodology, which consists of requirements analysis, system design, implementation, testing, and maintenance. The technologies employed include PHP, the CodeIgniter framework, MySQL database, Apache Web Server, and Google Chrome for application testing. The system involves two main actors: administrators and customers. Administrators can manage rental items, categories, brands, photography packages, bookings, payment confirmations, and income reports. Customers can register, browse product catalogues, select rental equipment or photography packages, place bookings, choose payment methods, and upload payment confirmations. In addition, the system provides an availability scheduling feature to prevent booking conflicts.The implementation results demonstrate that the system effectively integrates camera rental business processes, accelerates data processing, simplifies report generation, and improves customer service through an online booking platform. The system also supports transaction history management, fast data retrieval, and accurate information presentation for administrators. Functional testing was conducted using the Black Box Testing method on 30 test scenarios representing all system requirements. The results showed that all 30 scenarios were successfully executed, achieving a 100% success rate. Therefore, the developed information system improves the effectiveness and efficiency of rental data management, enhances service quality, and provides customers with a convenient and reliable online rental experience