The Covid - 19 pandemic caused a fairly deep contraction for the Indonesian economy, which also had an impact on the property and real estate sector, where there was a decrease in public interest in housing sales, where PT. Bumi Serpong Damai Tbk. has a main sales segment, namely integrated city. This study aims to find out whether there has been a significant change in financial performance in the period before and during the Covid-19 pandemic at PT. Bumi Serpong Damai Tbk. period 2019 – 2020. The data used in this study includes quarterly financial data for the period 2019 – 2020, while the method used is quantitative descriptive analysis. Data analysis techniques using Descriptive Statistical Test and Wilcoxon Test. The results of this study indicate that there was no significant difference in the financial performance before and during the Covid-19 pandemic at PT. Bumi Serpong Damai Tbk Period 2019 – 2020.

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Consumer demand conditions for fluctuating roasted coffee and ineffective production planning often lead to excessive production. Excess production will lead to wasteful costs and maintenance of quality on roasted coffee. Production demand forecasting is the basis for making production demand decisions. The purpose of this study is to predict the number of production requests for the next period and determine the most suitable forecasting method in determining the amount of roasted coffee production demand. The object of the data taken is roasted coffee. Analysis methods use moving averages, weighted moving averages, and exponential smoothing. In determining the most suitable forecasting method based on the Mean Absolute Deviation (MAD) forecasting value and the smallest Mean Squared Error (MSE) of each method used. The results of this study indicate that the most suitable forecasting method is using a Weighted Moving Average with a three-month period and forecasting roasted coffee production for November 2016 of 38.3 kg.