Digitalisasi Tata Kelola Pedesaan: Sistem Manajemen Data Kependudukan Terintegrasi Menggunakan Model Waterfall

Abstract

Inaccurate population data is often a major obstacle in the distribution of social assistance and regional development planning. This research aims to transform a manual data management system into an integrated web-based system. The system development method used is the sequential Waterfall model. The research stages included needs analysis, design using UML (Unified Modeling Language), coding with PHP and MySQL, and system testing. The research results are a population information system application capable of automatically validating National Identity Numbers (NIK) and generating real-time population mutation reports. Based on black box testing, the system was declared 100% functional according to the specified functional requirements.