Palembang Aerodrome Weather Forecast for Palembang Sultan Mahmud Badaruddin II Airport

• Main Authors: Isti Ma'atun, Nasichah, Tri Basuki, Kurniawan
• Format: Article
• Language: English
• Published: INTI International University 2022
• Subjects: T Technology (General); TD Environmental technology. Sanitary engineering
• Online Access: http://eprints.intimal.edu.my/1693/1/jods2022_18.pdf; http://eprints.intimal.edu.my/1693/; http://ipublishing.intimal.edu.my
• Institution: INTI International University

SMB II Palembang Meteorological Station is one of the weather observation points owned by BMKG in charge of carrying out weather observations, analysis, and weather forecasts at Sultan Mahmud Badaruddin II Airport Palembang. Weather information has an important role in the world of aviation, so accurate airport weather forecasts are needed. Random Forest, Naive Bayes Classifier, and Support Vector Machine methods are classification methods used to forecast rain in this study. The data used is weather parameter data from December 2012 to December 2021. Rain forecast using the SVM method produces an accuracy rate of 72%, the NBC method 66%, and the Random Forest method produces an accuracy rate of 74%. Heavy rains and very heavy rains can’t be predicted accurately using the SVM, NBC, and Random Forest methods. Based on the feature selection method, the attribute that has the most influence on rain forecasts is the average humidity.