Peramalan Pencemaran Udara di Kota Pekanbaru Menggunakan Metode Box-Jenkins

Ari Pani Desvina, Syahrul Ramadhan

Abstract


This paper discusses the forecasting model of air quality in Pekanbaru by parameters of sulfur
dioxide   SO2 by using Box-Jenkins. The procedure of determine the forecasting model by using Box-
Jenkins method that used stationary data, if was not stationary, it need differencing process, identification
model of ACF and PACF, parameter estimation, verification models by looking residual result, and
conducted the forecasting stage. The daily data used for the establishment of forecasting model was the
data from 24 November 2014 to 10 February 2015. The results showed that ARIMA(1,1,0) with model
Xt  0.4063Xt1  0.5937Xt2  at was a appropriate model to forecasting process. Forecasting results
indicated that the air quality increase if compared to the previous time, because the trend of the data air
quality followed data format of trend up.
Keywords: ARIMA, Box-Jenkins, Sulfur Dioxide

Full Text:

PDF

References


Abraham B, Johannes L. Statistical Methods for Forecasting. New York: John Wiley & Sons Inc. 2005.

Bowerman B. L, O’Connell R. T, Koehler A. B. Forecasting, Time Series, Regression an Applied Approach. Fourth Edition. Belmont: Thomson Brooks/ Cole. 2005.

Brocklebank J. C, David A. D. SAS for Forecasting Time Series. Second Edition. New York: John Wiley & Sons Inc. 2003.

Chatfield C. Time Series Forecasting. Boca Raton, Florida: CRC Press. 2000.

Firdaus M. Analisis Deret Waktu Satu Ragam. Bogor: IPB Press. 2006.

Kementerian Lingkungan Hidup Republik Indonesia. Status Lingkungan Hidup Indonesia 2010. Jakarta: Kementerian lingkungan Hidup. 2011.

Sulaiman R,dkk. Editors. Panduan Masyarakat untuk Kesehatan Lingkungan. Bandung: The Eksyezet. 2009

Susilawaty A, Ane R. L. Analisis Kualitas Udara Ambient Kota Makasar. Jurnal Kesehatan. 2009. Vol II(4), 79-86.

Tim MKU PLH. Pendidikan Lingkungan Hidup. Semarang: UNNES. 2014.

Zaman B, Syafrudin. Pengelolaan Kualitas Lingkungan. Semarang: UPT UNDIP Press. 2012.


Refbacks

  • There are currently no refbacks.


FAKULTAS SAINS DAN TEKNOLOGI
UIN SUSKA RIAU

Kampus Raja Ali Haji
Gedung Fakultas Sains & Teknologi UIN Suska Riau
Jl.H.R.Soebrantas No.155 KM 18 Simpang Baru Panam, Pekanbaru 28293
Email: sntiki@uin-suska.ac.id