Algoritma Simple Additive Weighting pada SPK Penerima BPNT: Validasi Lapangan dengan Kriteria Nasional
Abstrak
The selection of Non-Cash Food Assistance (BPNT) recipients at the village level often suffers from inaccuracies and limited transparency due to reliance on manual, locally defined indicators. This study develops and validates a decision support system (DSS) based on the Simple Additive Weighting (SAW) method, integrating 14 nationally standardized criteria and a Live Ranking feature to enhance public accountability. The system was implemented using the Personal Extreme Programming (PXP) approach, encompassing planning, design, coding, testing, and deployment. Validation involved comparison with manual SAW calculations and black-box and white-box unit testing. Empirical testing with 30 real cases from Lagi-Agi Village demonstrated 100% accuracy, with system rankings fully consistent with manual results. The DSS ensures objective prioritization of recipients, offering a reliable tool to strengthen fairness, accountability, and transparency in BPNT distribution. Scientifically, this work extends the application of Multiple Attribute Decision Making (MADM) methods to social assistance programs, while practically supporting measurable and equitable aid allocation through the Live Ranking mechanism.
Identifier
- DOI: https://doi.org/10.29408/edumatic.v9i3.32322
- OpenAlex: https://openalex.org/W7124769487