Penerapan ARIMA Pada Data Curah Hujan di Stasiun Meteorologi Kelas II Minangkabau Padang Pariaman

Rizki Amalia Nur, Darvi Mailisa Putri

Abstract


Rainfall is one of the indicators of climate change that has an impact. Class II Minangkabau Meteorological Station Padang Pariaman is one of the locations that has an impact on rainfall. This location is Minangkabau International Airport so that rainfall information is very important. The rainfall data used in this study is monthly data with the period January 2017 to June 2022. The ARIMA model is applied to perform forecasting or prediction of rainfall data for the next period. The results of the study based on the analysis of the Akaike Information Criterion (AIC) value obtained the best model ARIMA (3,1,0).

Keywords


Rainfal; ARIMA; AIC

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DOI: https://doi.org/10.15548/jostech.v4i1.8361
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References


D. E. Aldrian, B. Eng, D. M. Karmini, and I. Budiman, “Perubahan Iklim di Indonesia”.

D. M. Putri and L. H. Hasibuan, “Penerapan Gerak Brown Geometrik pada Data Saham PT. ANTM,” Mathematics & Applications Journal, vol. 1, no. 1, pp. 1–10, 2020.

D. N. Gujarati, Student solutions manual for use with “Basic econometrics,” 4. ed. in McGraw-Hill higher education. Boston: McGraw Hill, 2003.

D. M. Putri, L. H. Hasibuan, R. A. Nur, and E. Asfa’ani, “OPTIMASI PREDIKSI CURAH HUJAN KOTA PADANG DENGAN MODEL ARIMA”.

D. M. Putri and Aghsilni, “Estimasi Model Terbaik Untuk Peramalan Harga Saham PT. Polychem Indonesia Tbk. dengan ARIMA,” MAp Journal: Mathematics and Applications, vol. 1, pp. 1–12, Dec. 2019.

K. N. Khikmah, K. Sadik, and I. Indahwati, “TRANSFER FUNCTION AND ARIMA MODEL FOR FORECASTING BI RATE IN INDONESIA,”

BAREKENG: J. Math. & App., vol. 17, no. 3, pp. 1359–1366, Sep. 2023, doi: 10.30598/barekengvol17iss3pp1359-1366.

C. A. Melyani, A. Nurtsabita, G. Z. Shafa, and E. Widodo, “PERAMALAN INFLASI DI INDONESIA MENGGUNAKAN METODE AUTOREGRESSIVE MOVING AVERAGE (ARMA),” JaMES, vol. 4, no. 2, pp. 67–74, Oct. 2021, doi: 10.32665/james.v4i2.231.

S. Cania, D. M. Putri, and I. D. Rianjaya, “Penerapan Model Seasonal Autoregressive Integrated Moving Average (SARIMA) pada Jumlah Penumpang Kereta Api di Sumatera Barat,” JOSTECH: Journal of Science and Technology, vol. 3, no. 2, pp. 209–220, Sep. 2023.

L. H. Hasibuan, S. Musthofa, D. M. Putri, and M. Jannah, “COMPARISON OF SEASONAL TIME SERIES FORECASTING USING SARIMA AND HOLT WINTER’S EXPONENTIAL SMOOTHING (CASE STUDY: WEST SUMATRA EXPORT DATA),” BAREKENG: J. Math. & App., vol. 17, no. 3, pp. 1773–1784, Sep. 2023, doi: 10.30598/barekengvol17iss3pp1773-1784.

H. Lutkepohl and M. Kratzig, “APPLIED TIME SERIES ECONOMETRICS”.

D. D. C. P. Damodar N. Gujarati, Basic Econometrics Fifth Edition.


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