VISUALISASI PEMETAAN POLA CURAH HUJAN BERDASARKAN KONSEP DATA MINING CLUSTERING NEURAL NETWORK
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
MARDIYENI, REZA
Sangadji, Iriansyah BM
Sangadji, Iriansyah BM
Subject
Teknik Informatika
Datestamp
2019-12-05 12:47:17
Abstract :
Geographically West Java has the characteristics of high rainfall, and is an area that is always wet with rainfall ranging between 1000-6000 mm. For that the accuracy of rainfall data is becomes very important, especially in specialized fields reviews such as the prevention of natural disasters. Clustering is a method for classifying a number of the data into multiple clusters. The Data have to be grouped in the proximity of one cluster. Algorithm Self Organizing Maps (SOM) is a neural network algorithm that can be used for analysis of the clustering. The system is capable of displaying the results of clustering by providing visualization of the pattern of rainfall with the SOM algorithm in the form of mapping and graphics. The data is used is rainfall data of 2013 on Darmaga Climatological Station.
Geographically West Java has the characteristics of high rainfall, and is an area that is always wet with rainfall ranging between 1000-6000 mm. For that the accuracy of rainfall data is becomes very important, especially in specialized fields reviews such as the prevention of natural disasters. Clustering is a method for classifying a number of the data into multiple clusters. The Data have to be grouped in the proximity of one cluster. Algorithm Self Organizing Maps (SOM) is a neural network algorithm that can be used for analysis of the clustering. The system is capable of displaying the results of clustering by providing visualization of the pattern of rainfall with the SOM algorithm in the form of mapping and graphics. The data is used is rainfall data of 2013 on Darmaga Climatological Station.
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