Web-Based Credit Score Conversion Assessment System Using the Repository Pattern Based on PermenPAN-RB Number 1 of 2023

Abstract

The performance evaluation of civil servants (PNS) is fundamental to ensuring accountability and effectiveness in public administration. However, current processes often face challenges in data accuracy, transparency, and accessibility. This study develops a web-based Credit Score Conversion Assessment Information System, specifically designed to comply with the regulatory shift introduced by PermenPAN-RB Number 1 of 2023, which transitions from activity-based counting to performance predicate conversion. A key contribution of this research is the implementation of the Repository Pattern, which decouples business logic from data access to enhance system maintainability and scalability against future regulatory updates. The research follows a prototyping methodology, involving needs analysis, architectural design, implementation, and functional testing. The results demonstrate that the system, named SmartPAK Untad, significantly improves the efficiency of credit score management and ensures data integrity through integrated synchronization with the SISTER platform. This developed system serves as a robust digital model for performance management across various government agencies in Indonesia.