Decomposable organic waste is recognized as one of the main components
of waste comprising between 42% to 80.2% of its composition. Organic
waste is any biodegradable material originating from either plants or
animals and the volume generated is expected to increase in the near future.
This study examines a better prediction model for determining the trends in
organic waste generation at the administration café of the UiTM Campus in
Tapah. The data for organic waste generation was collected and recorded
daily from two stalls at the café. The collection process was undertaken over
five working days (Monday - Friday) from 4th March to 20th April 2019. The
Least Square and Simple Moving Average Models were performed in this
study. It was found that the Simple Moving Average Model was superior to
the Least Square Model as it yielded consistently lower Root Mean Square
Error (RMSE), Mean Square Error (MSE) and Mean Absolute Deviation
(MAD) values. The Moving Average showed that the upward and downward
trends in organic waste over time and the trend cycle were smoother than the
original data.