AMIN, SYAIFUDIN (2022) IMPLEMENTATION OF THE EXPONENTIAL SMOOTHING METHOD FOR FORECASTING THE CASE OF COVID-19. Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
IMPLEMENTATION OF THE EXPONENTIAL SMOOTHING METHOD FOR FORECASTING THE CASE OF COVID-19 SYAIFUDIN AMIN Informatics Study Program Faculty of Science and Technology University of Technology Yogyakarta Jl. Ringroad Utara Jombor Sleman Yogyakarta Email : samflitcker1@gmail.com ABSTRACT Data and information are an important part of making decisions regarding the handling of Corona Virus Disease 2019 (COVID-19). COVID-19 data, both demographic and aggregated, can be processed and analyzed to provide information regarding the current situation and conditions related to the COVID-19 pandemic. The COVID-19 data is also used for predictive analysis to find out the estimated number of COVID-19 cases in the future. The predictive analysis used in this article is the Exponential Smoothing method. Exponential Smoothing is a type of moving average forecasting technique that weighs past data in an exponential manner so that the most recent data has a greater weight or scale in the moving average. The use of the Exponential Smoothing method can be implemented in cases of COVID-19 with an average error value of 25.75%. Exponential Smoothing method is more suitable for forecasting data in a certain period. Keywords: forecasting, Exponential Smoothing, Corona Virus Disease 2019
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 12 Sep 2022 01:41 |
| Last Modified: | 12 Sep 2022 01:41 |
| URI: | http://eprints.uty.ac.id/id/eprint/10263 |
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