Open AccessDecision Tree-Based Weather Prediction
Author(s) -
Achmad Noeman,
Dwipa Handayani,
Abrar Hiswara
Publication year - 2022
Publication title -
penelitian ilmu komputer sistem embedded and logic/penelitian ilmu komputer sistem embedded and logic
Language(s) - English
Resource type - Journals
eISSN - 2620-3553
pISSN - 2303-3304
DOI - 10.33558/piksel.v10i1.4418
Subject(s) - meteorology , weather prediction , weather forecasting , environmental science , weather modification , surface weather observation , wind speed , automatic weather station , weather station , model output statistics , decision tree , humidity , weather research and forecasting model , numerical weather prediction , computer science , geography , machine learning
Weather is formed from a group of weather elements and can be changed fast. For example, in the morning, afternoon, or evening, the weather can be different for each place and every hour. Weather is the condition of the air that occurs in a narrow place and lasts for a short time. Weather conditions in a place can be determined by many factors, such as air pressure, humidity, wind, sunlight, and so on. Therefore, by looking at these factors it can be estimated the weather that will occur the next day. Fishermen and farmers are fields of work that are closely related to weather forecasting, accurate and fast weather predictions are needed by these fields to carry out various activities. The amount of rainfall that occurs cannot be determined exactly but can be predicted or estimated. The application of determining weather information is needed, hence, the prediction can be utilized optimally by the community. The design of a system that will classify automatically can be developed by applying machine learning methods, one of them is used in this study, i.e., C.4.5 Algorithm using weather data that a reference in determining the weather conditions whether not rainy, rainy, light rain, or heavy rain.