Comparison of exponential smoothing method and autoregressive integrated moving average (ARIMA) method in predicting dengue fever cases in the city of Palembang

Abstract

Forecasting is the process of making a statement about an event where the event has not been known or observed. For pharmaceutical students, learning about forecasting techniques can help determine the treatment of various diseases, one of which is dengue fever. Dengue fever is an acute disease caused by the dengue virus. Dengue fever is still a public health issue in major cities in Indonesia, one of which is Palembang. Based on the profile done by Palembang City’s Public Health Office in 2017, dengue fever cases in the area from year to year tend to fluctuates. To get the overview of the number of dengue fever cases in the upcoming years, time series forecasting methods are used, namely the Exponential Smoothing method and the Autoregressive Integrated Moving Average (ARIMA) method. Afterward, the results of predictions from the two methods are compared. Forecasting using the ARIMA method gives the smallest MSE and MAE results of 108077.877 and 172.424, respectively, compared to the Exponential Smoothing method. This means that the ARIMA method is better at predicting the number of dengue fever cases in Palembang in the coming years.

Forecasting methods in Greek coastal shipping: The case of Southwest Crete

“…Due to these factors, we may rely on established smoothing techniques like Box-Jenkins ARIMA models, which solely take into consideration the data as it is and ignore any potential relationships with other variables [11,35,36]. We restricted ourselves to smoothing techniques because they are simple to use and have a low level of computing complexity.…”

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“…For these reasons we could rely on known smoothing methods or Box-Jenkins ARIMA models, taking into account only the existing observations and not the possible relationship with other variables (Ahmad & Ahmad, 2013;Munarsih & Saluza, 2019;Yonar, et al, 2020).…”

Perbandingan Metode Peramalan ARIMA dan Single Exponential Smoothing pada Kasus Kejadian Demam Berdarah Dengue di Kota Semarang

“…Hasilnya menunjukkan dari 3 nilai alpha (α) yang diuji, nilai Sum Squared Error (SSE) terkecil dihasilkan oleh alpha (α) = 0,33 dengan jumlah kasus Covid-19 sebanyak 757 kasus yang menunjukkan jumlah kasus semakin bertambah naik [10]. Penelitian pebandingan ES dan ARIMA pada kasus DBD di Palembang [11] menunjukkan metode ARIMA memberikan hasil MSE dan MAE terkecil sebesar 108077.877 dan 172.424 dibandingkan dengan metode Exponential Smoothing.…”