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Tri Diana Rimadhani
UPN “Veteran” Jawa Timur
Religion Humanities Economics, Econometrics & Finance Education Social Sciences

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Peramalan Jumlah Penderita Jenis Penyakit Utama Di Kota Surabaya Menggunakan Metode Autoregressive Integrated Moving Average (ARIMA) Tri Diana Rimadhani; Amalia Anjani Arifiyanti; Rizka Hadiwiyanti
Student Research Journal Vol. 1 No. 5 (2023): Oktober : Student Research Journal
Publisher : Sekolah Tinggi Ilmu Administrasi (STIA) Yappi Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/srjyappi.v1i5.612

Abstract

The decline in Covid-19 pandemic cases over the past few months before 2023 not only reduced Indonesia's challenges in dealing with other types of diseases. Surabaya city itself has health issues that need to be addressed, as indicated by an increase in several diseases in 2022. One attempt to handle disease cases is to predict the future case numbers to anticipate actions early on. By using data on the number of cases of Respiratory System Diseases during the year 2022, this data will be used to predict the number of cases in the coming months in 2023 by creating a variation of a univariate ARIMA forecasting model. Therefore, the research results show forecasted data that tend to increase when viewed from the analysis and the plotted graph of the forecast results.
Co-Authors Amalia Anjani Arifiyanti Rizka Hadiwiyanti