Peramalan melalui pendekatan kalut ke atas siri masa karbon monoksida di kawasan perindustrian

Khairunnisa Che Jusoh

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Type :	article
Subject :	QA Mathematics
Main Author :	Khairunnisa Che Jusoh
Additional Authors :	Nor Zila Abd Hamid Syafruddin Side
Title :	Peramalan melalui pendekatan kalut ke atas siri masa karbon monoksida di kawasan perindustrian

Place of Production :	Tanjong Malim
Publisher :	Fakulti Sains dan Matematik
Year of Publication :	2021
Corporate Name :	Universiti Pendidikan Sultan Idris

Abstract : Universiti Pendidikan Sultan Idris

Kajian ini berfokus kepada menganalisis dan meramal data siri masa karbon monoksida (CO) di salah sebuah kawasan perindustrian di Malaysia iaitu Seberang Perai, Pulau Pinang menggunakan pendekatan kalut. Sebelum proses peramalan, data siri masa diuji terlebih dahulu untuk mengenalpasti kehadiran dinamik kalut. Melalui Kaedah Cao, didapati bahawa sifat kalut hadir dalam siri masa CO. Oleh yang demikian, proses peramalan dijalankan melalui Kaedah Penghampiran Setempat. Pekali korelasi dipilih sebagai petunjuk prestasi. Keputusan peramalan menunjukkan bahawa nilai pekali korelasi adalah 0.9032 yang mana nilai tersebut hampir kepada satu. Hasil ramalan yang sangat baik ini menunjukkan bahawa Kaedah Penghampiran Setempat boleh digunakan untuk meramal kepekatan CO. Kesimpulannya, pendekatan kalut telah berjaya menganalisis dan meramal siri masa CO di kawasan perindustrian Seberang Perai. Diharapkan dengan penemuan ini dapat membantu pihak bertangunggjawab untuk mengawal pencemaran CO di kawasan perindustrian.

References

Abarbanel, H.D.I. (1996). Analysis of observed chaaotic data. New York: Springer-Verlag.

Adenan, N.H. & Noorani, M.S.M. (2015). Peramalan data siri masa aliran sungai di dataran banjir dengan menggunakan pendekatan kalut. Sains Malaysiana. 44(3), 463-471.

Amil, N., Latif, M.T., Khan, M. F., & Mohamad, M. (2016). Seasonal Variability of PM2.5 composition and sources in the Klang Valley urban-industrial environment. Atmospheric Chemistry and Physics, 16(8), 5357–5381.

Bahari, M. & Hamid, N.Z.A. (2019). Analysis and prediction of temperature time series using chaotic approach. IOP Conferences Series: Earth and Environmental Science. 289, 1-7.

Cao L. (1997). Practical method for determining the minimum embedding dimension of a scalar time series. Physica D: Nonlinear Phenomena. 110, 1-2.

Casdagli M. (1991). Chaos and deterministics versus stochastic non-linear modelling. Santa Fe Institute, 54(2), 303-328.

Domenico, M.De, Ghorbani, M.A., Makarynskyy, O., Makarynska, D., & Asadi, H. (2013). Chaos and reproduction in sea level. Applied Mathematical Modelling, 37(6), 3687–3697.

Gogtay, N. J., & Thatte, U. M. (2017). Principles of correlation analysis. Journal of Association of Physicians of India, 65(3), 78–81.

Hamid, N.Z.A. & Noorani, M.S.M. (2012). On prediction of Subang, Selangor daily rainfall data: An application of local approximation method. Jurnal Sains dan Matematik. 4(2), 49-57.

Hamid, N.Z.A. & Noorani, M.S.M. (2013). An improved prediction model of ozone concentration time series based on chaotic approach. International Journal of Mathematical and Computational Sciences. 7(11), 206-211.

Hamid, N.Z.A. & Noorani, M.S.M. (2014). Suatu kajian perintis menggunakan pendekatan kalut bagi pengesanan sifat dan peramalan siri masa kepekatan PM10. Sains Malaysiana 43(3), 475-481.

Hamid, N.Z.A. & Noorani, M.S.M. (2017) Aplikasi model baharu penambahbaikan pendekatan kalut ke atas peramalan siri masa kepekatan ozon. Sains Malaysiana 46(8), 1333-1339.

Jamalani, M.A., Abdullah, A.M., Azid, A., Ramli, M.F., Baharudin, M.R., Chng, K., Sciences, H. (2018). PM10 Emission Inventory of Industrial and Road Transport Emission Inventory of Industrial and Road Transport Vehicles in Klang Valley, Peninsular Malaysia. Journal of Fundamental and Applied Sciences, 10(1S), 313-324.

Jusoh, K.C. & Hamid, N.Z.A. (2020). Meramal bacaan maksimum harian nitrogen dioksida menerusi pendekatan kalut. Juornal of Quality Measurement and Analysis. 16(1), 79-89.

Kantz, H. & Schreiber, T. (2004). Nonlinear time series analysis. Cambridge: Cambridge University Press. hlm. 369.

Liebert, W. & Schuster, H. (1989). Proper choice of the time delay for the analysis of chaotic time series. Physics Letters A 142(2), 107-111.

Mabahwi N.A., Leh O.L.H. & Omar D. (2015). Urban air quality and human health effects in Selangor, Malaysia. Procedia. Social and Behavioral Sciences, 170, 282–291.

Rani, N.L.A., Azid, A., Khalit, S.I., Juahir, H., & Samsudin, M.S. (2018). Air pollution index trend analysis in Malaysia, 2010-15. Polish Journal of Environmental Studies, 27(2), 801–808.

Takens, F. (1981). Detecting strange attractors in turbulence. Dynamical Systems and Turbulence, Warwick 1980, 898, 366–381. Springer, Heidelberg.

Yusup, Y., Ahmad, M.I., & Ismail, N. (2014). Indoor air quality of typical Malaysian open-air restaurants. Environment and Pollution, 3(4), 10-23.

Zaim, W.N.A.W.M. & Hamid N.Z.A (2017). Peramalan bahan pencemar Ozon (O3) di Universiti Pendidikan Sultan Idris, Tanjung Malim, Perak, Malaysia mengikut monsoon dengan menggunakan pendekatan kalut. Sains Malaysiana. 46(12), 2523-2528.

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