P. Riyantoko, Tresna Maulana Fahrudin, K. M. Hindrayani, A. Muhaimin, Trimono
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Water Availability Forecasting Using Univariate and Multivariate Prophet Time Series Model for ACEA
(European Automobile Manufacturers Association)
Time series is one of method to forecasting the data. The ACEA company has competition with opened the
data in the Water Availability and uses the data to forecast. The dataset namely, Aquifers-Petrignano in
Italy in water resources field has five parameters e.g. rainfall, temperature, depth to groundwater,
drainage volume, and river hydrometry. In our research will be forecast the depth to groundwater data using
univariate and multivariate approach of time series using Prophet Method. Prophet method is one of library
which develop by Facebook team. We also use the other approach to making the data clean, or the data ready
to forecast. We use handle missing data, transforming, differencing, decomposition time series, determine
lag, stationary approach, and Augmented Dickey-Fuller (ADF). The all approach will be uses to make sure that
the data not appearing the problem while we tried to forecast. In the other describe, we already get the
results using univariate and multivariate Prophet method. The multivariate approach has presented the value
of MAE 0.82 and RMSE 0.99, it’s better than while we forecast using univariate Prophet.