Page 361 - Proceeding The 2nd International Seminar of Science and Technology : Accelerating Sustainable Innovation Towards Society 5.0

nd
he 2 International Seminar of Science and Technology
“Accelerating Sustainable innovation towards Society 5.0”
ISST 2022 FST UT 2022
Universitas Terbuka

COMPARISON OF RANDOM FOREST AND
DECOMPOSITION METHODS IN THE PREDICTION OF
CENTRAL OXYGEN SUPPLY AT dr. RADEN
SOEDJONO SELONG HOSPITAL

1
Rahmat Rifki Aolia Akhzami , Wiwit Pura
Nurmayanti , Umam Hidayaturrohman , M. Hadiyan
1*
1
1
2
Amaly , Siti Hadijah Hasanah
1 Department of Statistics, Hamzanwadi of University (INDONESIA)
2 Study Program of Statistics, Faculty of Sciences and Technology,
Universitas Terbuka (INDONESIA)

*Corresponding author: wiwit.adiwinata3@gmail.com

Abstract
Forecasting is a method for estimating a future value using past data.
In forecasting, there are several methods, including Random Forest
and Decomposition. Both methods have the advantage that they do
not require assumptions compared to other forecasting methods.
Issues related to Covid-19 have not yet been resolved and have
caused many negative effects, one of which is the scarcity of medical
gases such as oxygen. In mid-2021, oxygen to scarcity occurred in
Java and Bali because of the Covid-19. This scarcity affects the supply
of oxygen to other central hospitals in Indonesia, one of which is
RSUD dr.R.Soedjono Selong NTB. For this reason, a strategy is
needed in dealing with cases of central oxygen scarcity. One strategy
that can be done is to make predictions to estimate the amount of
oxygen supply each week, and the methods that can be used are
Random Forest and Decomposition. The purpose of this study was to
compare the Random Forest and Decomposition on the prediction of
oxygen supply at RSUD dr. Raden Soedjono. The results of the
analysis show that Decomposition is better than Random Forest. This

324 ISST 2022 – FST Universitas Terbuka, Indonesia
International Seminar of Science and Technology “Accelerating Sustainable
Towards Society 5.0