KLASIFIKASI CUACA BERDASARKAN CITRA AWAN MENGGUNAKAN EKSTRAKSI CIRI HYBRID PRINCIPAL COMPONENT ANALYSIS (PCA) DAN LINEAR DISCRIMINANT ANALYSIS (LDA)
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Institusion

Universitas Sriwijaya

Author

YULIA HAPSARI (STUDENT ID : 09042681620010)
Samsuryadi Samsuryadi (LECTURER ID : 0004027101)

Subject

R858-859.7 Computer applications to medicine. Medical informatics 

Datestamp

2019-10-03 01:13:39 

Abstract :
Changes in weather and climate conditions have consequences on various sectors of life and greatly affect the activities of human life. Therefore we need a system that can detect weather conditions based on cloud images. The method for detecting weather conditions at one time with image processing is a new innovation that appears in current weather modeling. This is driven by the high need of various parties to conduct research in carefully detecting a condition and without having to observe it directly. The research phase included the image of a cloud converted into a gray image, extracted features using Hybrid PCA and LDA, and classification using the Euclidean Distance method. The results of the study to predict bright, cloudy clouds and rain reached an accuracy rate of 94%. 

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RAMA_55101_09042681620010_0004027101_06_ref.pdf
RAMA_55101_09042681620010_0004027101_07_lamp.pdf