Path: Top -> Journal -> Kursor -> 2016 -> Vol. 8 No. 4
A DATA ANALYSIS OF THE IMPACT OF NATURAL DISASTER USING K-MEANS CLUSTERING ALGORITHM
Oleh : Prihandoko, Bertalya, Kursor
Dibuat : 2018-06-02, dengan 1 file
Keyword : Natural Disaster, Data Mining, K-Means Algorithm, Clustering
Url : http://kursorjournal.org/index.php/kursor/issue/view/12
Sumber pengambilan dokumen : WEB
Indonesia is one of the country with a lot of natural disasters occurred every year. The
victims of natural disasters, are quite high in terms of the number of deaths, missing people,
injuries, sufferings and the number of refugees. Unfortunately, the number of victims is
growing from year to year in the last ten years. Thus, based on this condition, this research
is carried out in order to analyze the data of the natural disasters and their victims for the
last five years. The analysis is intended to know what is the main cause of natural disaster.
The series of data about the natural disaster and the weather condition is collected from the
government office website. The analysis was carried out by implementing clustering
technique to the data, by using k-means algorithm, after data preprocessing completed. The
result of the research shows that the weather condition is not the main cause of the
occurrence of natural disaster, but the geographical condition is the main trigger of the
problem. In addition, this research also found that the data published by the government
need to be updated regularly.
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Kota | Jambi |
Daerah | Jambi |
Negara | Indonesia |
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E-mail Administrator | elibrarystikom@gmail.com |
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