| dc.description.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 | en_US |
