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

HAPSARI, YULIA and Samsuryadi, Samsuryadi (2018) KLASIFIKASI CUACA BERDASARKAN CITRA AWAN MENGGUNAKAN EKSTRAKSI CIRI HYBRID PRINCIPAL COMPONENT ANALYSIS (PCA) DAN LINEAR DISCRIMINANT ANALYSIS (LDA). Master thesis, Sriwijaya University.

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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%.

Item Type:	Thesis (Master)
Uncontrolled Keywords:	Weather changes, climate conditions, Principal Component Analysis, Linear Discriminant Analysis, bright clouds, cloudy clouds and rain clouds, Euclidean Distance
Subjects:	R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	Mrs Sri Astuti
Date Deposited:	03 Oct 2019 01:13
Last Modified:	03 Oct 2019 01:13
URI:	http://repository.unsri.ac.id/id/eprint/10064

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