Open AccessPrediksi Emisi CO2 dengan Analisis Runtun Waktu
Author(s) -
Primadina Hasanah,
Irma Fitria
Publication year - 2019
Publication title -
specta
Language(s) - English
Resource type - Journals
eISSN - 2622-9099
pISSN - 2549-2713
DOI - 10.35718/specta.v1i1.72
Subject(s) - exponential smoothing , statistics , series (stratigraphy) , econometrics , time series , smoothing , value (mathematics) , exponential function , mathematics , meteorology , environmental science , geography , geology , mathematical analysis , paleontology
Global warming is caused by various factors, one of them is the emission of CO2. Time series data of CO2 emission will be analyzed using moving average and exponential smoothing to forecast the CO2 emission of the period ahead. Both models provide estimates of forecasting based on the average value of the previous data and can be used for forecasting time series data containing trend component. The best models are selected based on the smallest error value based on the criteria of MAPE, MSD, and MAD