RobustData Processing System at Automotive CompanyUsing RAD Method
Dublin Core
Title
RobustData Processing System at Automotive CompanyUsing RAD Method
Subject
Data Processing, Electric Company, RAD, SUS Evaluation
Description
This study presents the development of a Robust Data Processing Systemfor an Electric Automotive Companyusing the Rapid Application Development (RAD)methodology. The system is designed to enhance data integration, processing speed, and reliability across multiple departments. The research employs a mathematically formulated RAD approach, in which iterative prototype, feedback,and optimization cycles are modeled to minimize data latency and maximize processing robustness. System usability and performance were evaluated through functional and usability testingusing the System Usability Scale (SUS), which achieved an overall score of 87.6, indicating a “Very Good”level of user satisfaction. Functional testing results also demonstrated a 100% success rateacross all operational modules, confirming the system’s stability and effectiveness. Experimental results show measurable improvements in data accuracy, synchronization efficiency, and reporting responsiveness compared to traditional development approaches. The proposed system contributes to advancing data-driven decision-making and operational scalability in Indonesia’s electric automotive industry. Future work will focus on integrating predictive analytics and machine learning components to further enhance data intelligence and automation within the system
Creator
Amri Frans Widodo Simanjuntak1, Edy Widodo2, Muhamad Fatchan
Source
https://ijicom.respati.ac.id/index.php/ijicom/article/view/151/121
Publisher
International Journal of Informatics and Computation (IJICOM)
Date
2025
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Amri Frans Widodo Simanjuntak1, Edy Widodo2, Muhamad Fatchan, “RobustData Processing System at Automotive CompanyUsing RAD Method,” Repository Horizon University Indonesia, accessed January 27, 2026, https://repository.horizon.ac.id/items/show/9784.