TY - JOUR
T1 - Application Seasonal Autoregressive Integrated Moving Average to Forecast the Number of East Kalimantan Hotspots
AU - Wahyuningsih, S.
AU - Goejantoro, R.
AU - Siringoringo, M.
AU - Saputra, A. R.
AU - Aminah, S.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/12/18
Y1 - 2019/12/18
N2 - The objective of this research is to determine the best time series model for forecasting the number of hotspots in East Kalimantan. Seasonal time series model is applied to the data. The results of this research is the best model for the number of hotspots in East Kalimantan is SARIMA (0,1,1)(0,1,1)12.
AB - The objective of this research is to determine the best time series model for forecasting the number of hotspots in East Kalimantan. Seasonal time series model is applied to the data. The results of this research is the best model for the number of hotspots in East Kalimantan is SARIMA (0,1,1)(0,1,1)12.
UR - http://www.scopus.com/inward/record.url?scp=85078276293&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1351/1/012085
DO - 10.1088/1742-6596/1351/1/012085
M3 - Conference article
AN - SCOPUS:85078276293
SN - 1742-6588
VL - 1351
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012085
T2 - Universitas Riau International Conference on Science and Environment 2019, URICSE 2019
Y2 - 10 September 2019
ER -