Path: Top -> Journal -> Kursor -> 2016 -> Vol. 8 No. 4

A DATA ANALYSIS OF THE IMPACT OF NATURAL DISASTER USING K-MEANS CLUSTERING ALGORITHM

Journal from gdlhub / 2018-06-02 10:15:24
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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PropertiNilai Properti
ID Publishergdlhub
OrganisasiKursor
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

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