Identification of Rainfall events on Climate Phenomena in Medan based on Machine Learning

Deassy Eirene Diana Doloksaribu, Kerista Tarigan, Richard Mahendra Putra, Yahya Darmawan

Abstract


Indonesia has diverse topographical conditions that result in Indonesia having a unique climate. One of the unique climate elements to be studied is rainfall, because rainfall has a different pattern in each region, this different rainfall pattern is caused by several climate phenomena factors that affect the rainfall pattern, including El-Nino Southern Oscillation (ENSO), Indian Ocean Dipole (IOD) and Madden Julian Oscillation (MJO). Medan City is the capital of North Sumatra province which is one of the areas in the flood-prone category in North Sumatra, where the factor of flooding is due to rainfall events in a long period of time, so the author wants to know which climatic phenomena factors can affect rainfall events in Medan city by using Machine Learning technology through the Matlab application, where in this study has a method by forming four combination models, namely the combination of the influence of IOD, SOI and MJO; second combination of IOD and SOI; third combination of SOI and MJO; and fourth combination of MJO and IOD, these four combinations will be the rainfall value of the four models. Furthermore, the rainfall value of the model is compared with the observed rainfall value and verification test using Mean Absolute Error (MAE) and correlation. Then the calculation of the comparison between the four rainfall models with the observed rainfall obtained the lowest MAE value during the SOI and MJO phenomenon of 15.0 mm and the highest correlation value during the IOD and SOI and SOI and MJO phenomena. So it is concluded that the combination of SOI and MJO has the best verification value. This shows that based on Machine Learning modeling, the model shown as the best predictor in Medan city is when the model combination consists of SOI and MJO.

Keywords


Rainfall Events, Climate Phenomena, Machine Learning

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References


Adhikari, R., dan Agrawal, R. K. (2013). An Introductory Study on Time Series Modeling and Forecasting, Lambert Academy Publishing, New Delhi.

Anggraini, N., Pangaribuan, B., Siregar, A.P., Sintampalam, G., Muhammad, A., Damanik, M.R.S., Rahmadi, M.T. (2021). Analisis Pemetaan Daerah Rawan Banjir Di Kota Medan Tahun 2020. Jurnal Kajian Ilmu dan Pendidikan Geografi, Vol. 4, No. 2.

Ashok, K., Z. Guan, and T. Yamagata. 2001. Impact of the Indian Ocean dipole on the relationship between the Indian monsoon rainfall and ENSO. Geophysical Research Letters 28.23: 4499-4502.

BPS. (2020). Jumlah Penduduk kota Medan menurut kecamatan dan jenis kelamin (jiwa), 2018-2020. Available online from: https://medankota.bps.go.id/indicator/12/31/1/jumlah-penduduk-kota-medan-menurut-kecamatan-dan-jenis-kelamin.html. [Accessed April 27, 2023]

Haryanto, U. (1998). Keterkaitan Fase SOI terhadap curah hujan di DAS Citarum. http://repository. ipb.ac.id/bitstream/handle/ 123456789/ 4016/1998 uha.pdf?sequence=. diakses tanggal 25 April 2023.

Kailaku, T.E. (2009). Pengaruh ENSO (El Nino-Southern Oscillation) DAN IOD (Indian Ocean Dipole) Terhadap Dinamika Waktu Tanam Padi di Wilayah Tipe Hujan Equatorial dan Monsunal (Studi Kasus Kabupaten Pesisir Selatan, Sumatera Barat dan Kabupaten Karawang, Jawa Barat). Skripsi. Department of Meteorology FMIPA IPB. Bogor.

Lefkovitz, Y. (2013). Climate and Commodity Prices: An Analysis of the Role of ENSO Forcasts in Agricultural Comodity Markets. New York: New York University.

Madden, R. A. dan Julian Paul. (1971). Detection of a 40±50 day oscillation in the zonal wind in thetropical Pacific. J Atmos Sci, 28, 702-708.

Maulidiya, H., Ihwan, A., Jumarang, M.I. (2012). Penentuan Kejadian El Nino dan La Nina berdasarkan nilai Southern Oscillation Indeks. Jurnal Positron, Vol.2, No. 2.

Mehr, H., Ash, H., and Fellow, D. (2017). Artificial Intelligence for Citizen Services and Government. Ash Cent. Democr. Gov. Innov. Harvard Kennedy Sch., no. August, p. pp 1-12.

Putra, R.M., Alfiandy, S., Haq, B.E.A. (2020). Identifikasi Pengaruh El Nino Southern Oscillation (ENSO), Indian Ocean Dipole (IOD) dan Madden Julian Oscilation (MJO) terhadap Intensitas Curah Hujan Bulanan di Indonesia Berbasis Machine Learning. Buletin Ngurah Rai, 6(2), pp. 1-8.

Ramadhanty, F.W., Muslim., Kunarso., Rochaddi, B., and Ismunarti, D.H. (2021) Pengaruh Fenomena IOD (Indian Ocean Dipole) Terhadap Sebaran Temperatur dan Salinitas di Perairan Barat Sumatera. Indonesian Journal of Oceanography, Vol.03, No. 01.

Shrestha, B., Rifaat, M.R. (2018) A Machine learning Approach to rainfall forecasting based on climate data. Journal of Computer Science and Information Security.

Sugiyono. (2015). Metode Penelitian Pendidikan (Pendekatan Kuantitatif, Kualitatif, dan R&D). Alfabeta, Bandung.

Tampubolon, K. (2018). Aplikasi Sistem Informasi Geografis (SIG) sebagai penentuan Kawasan Rawan Banjir di Kota Medan. Jurnal Pembangunan Perkotaan, Vol. 6, No. 2, 63-88.

Wang, H.W., Kuo, P.H. and Shiau, J.T., (2013) Assessment of climate change impacts on flooding vulnerability for lowland management in southwestern Taiwan. Natural Hazards, 68(2): 1001-1019.

Windayati, R., Surinati, D. (2016). Fenomena Madden Julian Oscillation. Journal of Oseana, Vol.XLI, No. 3.

Yana, S., Ihwan. A., Jumarang, M.I., Apriansyah. (2014) Analisis Pengaruh Madden Julian Oscillation, Annual Oscillation, ENSO dan Dipole Mode terhadap curah hujan di Kabupaten Kapuas Hulu. Journal of Prisma of Physics, Vol. 2, No.2.

Yang, J., Chen, Y., Huang, W., and Y. Li. (2017) Survey on Artificial Intelligence for Additive Manufacturing. 23rd Int. Conf. Autom. Comput., no. September, pp. 7–8.




DOI: https://doi.org/10.33394/j-ps.v11i2.7738

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Copyright (c) 2023 Deassy Eirene Diana Doloksaribu, Kerista Tarigan, Richard Mahendra Putra, Yahya Darmawan

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J-PS (Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram) p-ISSN (print) 2338-4530, e-ISSN (online) 2540-7899 is licensed under a Creative Commons Attribution 4.0 International License.

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