Brilliance: Research of Artificial Intelligence
Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024

Development of Internal Quality Audit Information System with Personal Extreme Programming (PXP) Approach

Darmansyah, Darmansyah (Unknown)
Tanjung, Rifqi Aulia (Unknown)
Anggraini, Novita Lizza (Unknown)
Lumenta, Vincent Gravie Ebenhaezer (Unknown)



Article Info

Publish Date
16 Dec 2024

Abstract

Internal Quality Audit (IQA) is an important process to ensure the quality of implementation of activities in educational institutions in accordance with established standards. However, the implementation of IQA that is still carried out manually or semi-digitally can hamper the effectiveness, efficiency, and accuracy in data management and reporting of audit results. Therefore, an information system is needed that can support the audit process in a more systematic and integrated manner. This research examines the development of an internal quality audit system using the Personal Extreme Programming (PXP) approach that is carried out iteratively. The purpose of this study was to evaluate the effectiveness and efficiency of the system developed through four iterations, each of which focused on developing key features such as user management, document management, audit process, and assessment. The PXP methodology was applied to provide flexibility in responding to user feedback, with each iteration resulting in rapid improvements and adjustments according to emerging needs. The results showed that the developed system met the audit management objectives with high functionality, ease of use, and improved efficiency at each iteration. In addition, this iterative approach allows the system to be more responsive to changing user needs compared to conventional development methods. Overall, this research supports the use of PXP as an effective methodology in the development of internal quality audit systems, demonstrating that it can produce solutions that are adaptive, efficient, and suited to user needs.

Copyrights © 2024






Journal Info

Abbrev

brilliance

Publisher

Subject

Decision Sciences, Operations Research & Management Mathematics Other

Description

Brilliance: Research of Artificial Intelligence is The Scientific Journal. Brilliance is published twice in one year, namely in February, May and November. Brilliance aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest ...