ANALISIS ECO-EFFICIENCY PADA INDUSTRI MATERIAL KONSTRUKSI DENGAN METODE FUZZY DATA ENVELOPMENT ANALYSIS (DEA)

As its business grows, the Company still faces challenges in finding a balance between economic productivity and environmental sustainability (eco-efficiency). Its production activities generate hazardous and toxic solid waste (B3) or Hazardous Solid Waste (HSW) from failed paving drying processes, liquid waste in the form of Chemical Oxygen Demand (COD) from mixer wash water containing cement slurry, and air emissions in the form of Carbon Dioxide (CO₂) from the use of cement. This study aims to identify the appropriate Decision Making Units (DMUs), determine the eco-efficiency level of DMUs, and provide improvement suggestions for inefficient DMUs. The research was conducted at a construction material company to obtain data on HSW, COD, and CO₂ as undesirable inputs and the selling value of paving as a desirable output. Then, the data was processed using the Fuzzy Data Envelopment Analysis (DEA) α-cut model ECODEA-1 based on the CCR model to measure the company's eco-efficiency level. The results showed that there were two DMUs that had reached the optimal point of balance between economic value and environmental impact (eco-efficient) and eleven DMUs that had not reached the optimal point of balance between economic value and environmental impact (not eco-efficient). Based on this, improvements are needed to increase the eco-efficiency of inefficient DMUs. Based on this, improvements are needed to increase eco-efficiency for inefficient DMUs. Through technical optimization, namely reducing HSW values by tightening quality control, lowering COD loads through the implementation of water recycling systems, and using digital weighing to ensure a consistent usage ratio.