Optimizing Analytical Design System using FAST Framework for Web Service Application

Abstract

This study proposed and evaluated an analytical design system for Posyandu services using the Framework for Application of Systems Technology (FAST) to improve data management and governance practices. The system was developed through a structured analytical design process and implemented in selected Posyandu locations to replace manual recording and reporting procedures. System performance was evaluated using quantitative indicators derived from system logs and structured user feedback. The results showed a 45% reduction in data entry errors due to the use of structured input forms, validation rules, and centralized data storage. Reporting timeliness improved by 38% as a result of automated report generation and real-time data aggregation, enabling faster access to information for health officers and decision-makers. User satisfaction analysis indicated that more than 80% of cadres experienced improved ease of use and better access to service information. The analytical dashboards further supported evidence-based decision-making by providing clear and integrated visual summaries of service activities. These findings demonstrate that the proposed FAST-based analytical design system effectively enhances operational efficiency, data quality, and governance performance in Posyandu services.