Analisis Sensitivitas Pada Model DEA Dengan Pendekatan Fuzzy Pada Pengukuran Kinerja Lingkungan Perumahan

Abstract

Sensitivity analysis in DEA models using a fuzzy approach can provide significant benefits in measuring the environmental performance of housing. This method can help identify and measure the impact of changes in input and output data on efficiency scores, enabling more accurate and effective decision-making related to improving en vironmental management. The research methodology used quantitative methods with descriptive analysis and data efficiency using DEA with a fuzzy approach using out put orientation, which aims to measure and assess the level of housing environmental performance efficiency objectively and realistically, considering the high uncertainty of the data. The data used is secondary data related to indicators related to housing environmental sustainability. The results show that of the four Decision Making Units (DMUs) studied, without using the fuzzy approach, only Helvetia Housing achieved 100% efficiency. Meanwhile, Tuntungan, Martubung, and Johor Housing had effi ciency values of approximately 85.92%, 88.69%, and 94.87%, respectively. When the fuzzy approach was applied, the efficiency of Johor and Helvetia Housing remained at 100%, while Tuntungan and Martubung Housing experienced a decrease in efficiency to 78.22%, indicating a significant level of inefficiency. The results of the sensitivity analysis using a for Helvetia and Johor Housing were stable. Meanwhile, martubung and tuntungan experienced a decline in line with the high level of data certainty. This inefficiency was caused by excessive use of drainage inputs, indicating that the housing complex was not yet able to produce environmental outputs commensurate with the inputs used