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All Journal RAGAM: Journal of Statistics and Its Application
Latisa Alifa Maura
Universitas Muhammadiyah Semarang
Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Public Health

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ANALISIS PERAMALAN CUACA KOTA SURABAYA MENGGAnalisis Peramalan Cuaca Kota Surabaya Menggunakan Pendekatan Autoregressive Integrated Moving Average (ARIMA) UNAKAN PENDEKATAN AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Latisa Alifa Maura; Nikmah Handayani; Devina Nadifa Nur Aulia; M. Al Haris
RAGAM: Journal of Statistics & Its Application Vol 3, No 2 (2024): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v3i2.12963

Abstract

Erratic weather is a crucial issue that can disrupt activities in all aspects. Weather monitoring needs to be done to avoid adverse consequences. ARIMA is one of the methods that can be used in weather forecasting because it is produce high accuracy, especially on short-term data. This research aims to get the best ARIMA model that produces accurate forecasting with the smallest error. Based on the research results, the best models obtained for temperature and humidity variables are (0,0,2) and (1,01) with MAPE values of 2.57% and 6.5%. Thus, the ARIMA model has very accurate forecasting performance.
Co-Authors Devina Nadifa Nur Aulia M. Al Haris Nikmah Handayani