Weather Forecasting at BMKG Office Lumajang City Using Markov Chain Method
Authors
Ummi Masrurotul Jannah*, Mohamat Fatekurohman
Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Jember, Indonesia
*Corresponding author. Email: masrurohmj@gmail.com
Corresponding Author
Ummi Masrurotul Jannah
Available Online 8 February 2022.
- DOI
- 10.2991/acsr.k.220202.039How to use a DOI?
- Keywords
- Markov chain; Weather conditions; Weather forecasting
- Abstract
Weather forecasting is one of the important factors in everyday life, because it can affect the activities carried out by the community. Weather forecasting refers to a series of activities carried out to produce a set of information about weather conditions. One method that can be used to model these uncertain conditions is the Markov chain. The Markov chain is a random process in which all information about the future is contained in the present state. In this study the authors use daily weather data that occurs on December 22- 28 2020.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Ummi Masrurotul Jannah AU - Mohamat Fatekurohman PY - 2022 DA - 2022/02/08 TI - Weather Forecasting at BMKG Office Lumajang City Using Markov Chain Method BT - Proceedings of the International Conference on Mathematics, Geometry, Statistics, and Computation (IC-MaGeStiC 2021) PB - Atlantis Press SP - 211 EP - 214 SN - 2352-538X UR - https://doi.org/10.2991/acsr.k.220202.039 DO - 10.2991/acsr.k.220202.039 ID - Jannah2022 ER -