Sistem Pendukung Keputusan Distribusi Bantuan Pertanian dengan Metode Simple Additive Weighting (SAW) Berbasis Web

Abstract

This study aims to design and implement a web-based Decision Support System (DSS) for the distribution of agricultural aid using the Simple Additive Weighting (SAW) method. The background of this research is the frequent occurrence of inaccurate targeting and lack of transparency in the selection process of aid recipients, which is still conducted manually and tends to be subjective. As a result, deserving farmers often do not receive assistance, while less eligible ones may benefit from it. The research adopts a descriptive qualitative approach combined with software engineering using the waterfall development model. Data were collected through observation, interviews, documentation, and literature studies to understand the existing system and define system requirements. The developed system processes multiple criteria, including land ownership status, business scale, income level, group membership, and participation level in farmer groups. The SAW method is applied to normalize data, assign weights to each criterion, and generate a ranking of eligible recipients. The results show that the system improves efficiency by reducing processing time, enhances objectivity by minimizing human bias, and increases transparency by providing traceable decision-making processes. The implication of this research is that the developed system can be used as a practical tool for government agencies to support fair, efficient, and accountable distribution of agricultural aid.