Implementation of ARIMA Model to Asses Seasonal Variability Macrobenthic Assemblages

Widowati, Widowati Implementation of ARIMA Model to Asses Seasonal Variability Macrobenthic Assemblages. Implementation of ARIMA Model to Asses Seasonal Variability Macrobenthic Assemblages, 7 . pp. 277-284. ISSN 2214-241X

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Abstract

Human activities, including industrial and aquaculture, may have impact on water environment, especially organic enrichment. One of bioindicator of pollution that affect the quality of the water ecosystem is macrobenthic community. In general, the more diverse macrobenthic assemblages indicate the better of the waters quality. Understanding spatial and temporal distribution of macrobenthic abundance has become an important part of research in the field of ecology in understanding the level of environmental disturbance over time. This study discussed the application of the method of Autoregressive Integrated Moving Average (ARIMA) to asses seasonal variability ofmacrobentic assemblages. We found that forecasting using autoregressive integrated moving average method with the model of ARIMA (0,1,1) is obtained the smallest value of the Mean Square Deviation (MSD). Keyworods : ARIMA; forecasting; macrobenthos; MSD; waters quality.

Item Type:Article
Additional Information:The authors wish to thank Directorate General of Research, Technology, and Higher Education for funding this research project through ‘National Strategic for Research’ research grant for year I - 2015.
Subjects:S Agriculture > SH Aquaculture. Fisheries. Angling
Divisions:Faculty of Science and Mathematics > Department of Biology
ID Code:65355
Deposited By:Alik Maulidiyah
Deposited On:01 Oct 2018 11:49
Last Modified:01 Oct 2018 11:52

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