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  • https://doi.org/10.62225/2583049x.2026.6.1.5541Copy DOI Icon

Design and Development of an Electronic National Registration System with Cloud Computing Case Study

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Abstract

In an era where digital transformation is reshaping government services, the need for efficient and secure national registration systems has become increasingly critical. This thesis presents the design and development of an Electronic National Registration System (ENRS) tailored for Zambia, leveraging the capabilities of cloud computing to enhance its functionality and scalability. The proposed system aims to streamline the registration process, improve data accessibility, and ensure robust security measures for national identification records. The research begins with an exploration of Zambia's current registration system and its limitations, identifying key areas for improvement (Zambia National Registration Bureau, 2023). Subsequently, a comprehensive system design is developed, incorporating cloud-based infrastructure to facilitate real-time data management, scalable storage solutions, and high availability (Smith & Jones, 2022). The design emphasizes data integrity, security, and user accessibility, addressing common challenges faced in national registration systems (Brown, 2021). Implementation details are discussed, including the selection of appropriate cloud services, system architecture, and integration strategies (Davis & Lee, 2023). The system is evaluated through a series of tests to assess its performance, reliability, and security in a Zambian context (Nguyen et al., 2024). Results indicate that the cloud-based ENRS significantly enhances the efficiency of national registration processes, offering a scalable and resilient solution that aligns with Zambia’s digital infrastructure goals (Wilson, 2023). This thesis contributes to the field of information systems by demonstrating the effectiveness of cloud computing in national registration systems and provides a model that can be adapted for similar applications in other developing countries (Taylor & Patel, 2024).

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