Decision Support System Evaluasi Tingkat Keberhasilan UMKM Menggunakan Weighted Scoring Method

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in driving regional economic growth, yet most business  owners  still  face  challenges  in  objectively  evaluating  their  business  conditions.  The  assessment  process,  which  relies  heavily  on experience and intuition, often results in business decisions not being supported by measurable information. This study aims to develop a web-based Decision Support System (DSS) to evaluate the success rate of MSMEs using the Weighted Scoring Method. The study employed a Research and Development (R&D) approach, encompassing needs analysis, system design, method implementation, and application  testing.  The  evaluation  process  involved  six  key  indicators,  weighted  according  to  their  importance,  then  calculated  to produce  a  final  score,  classified  into  three  success  levels:  high,  medium,  and  low.  The  results  showed  that  the  system  was  able  to automate the evaluation process, consistently display success rate classifications, and generate reports in PDF format to document the assessment results. Testing using real MSME data demonstrated that the system's calculations were consistent with manual calculations based on the applied method. The developed system is expected to assist MSMEs in conducting more systematic business evaluations and support local governments in the development and data-driven decision-making process.