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Countries Population Determination To Test Rice Crisis Indicator At National Level Using K-means Cluster Analysis

Countries Population Determination To Test Rice Crisis Indicator At National Level Using K-means Cluster Analysis
Y. Hidayat, T. Purwandari, Sukono, Y.D. Ariska
Universitas Padjadjaran, 2017 IOP Conf. Ser.: Mater. Sci. Eng. 166 012023, (http://iopscience.iop.org/1757-899X/166/1/012023)
Bahasa Inggris
Universitas Padjadjaran, 2017 IOP Conf. Ser.: Mater. Sci. Eng. 166 012023, (http://iopscience.iop.org/1757-899X/166/1/012023)
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This study aimed to obtain information on the population of the countries which ishave similarities with Indonesia based on three characteristics, that is the democraticatmosphere, rice consumption and purchasing power of rice. It is useful as a reference materialfor research which tested the strength and predictability of the rice crisis indicatorsUnprecedented Restlessness (UR). The similarities countries with Indonesia were conductedusing multivariate analysis that is non-hierarchical cluster analysis k-Means with 38 countriesas the data population. This analysis is done repeatedly until the obtainment number of clusterswhich is capable to show the differentiator power of the three characteristics and describe thehigh similarity within clusters. Based on the results, it turns out with 6 clusters can describe thedifferentiator power of characteristics of formed clusters. However, to answer the purpose ofthe study, only one cluster which will be taken accordance with the criteria of success for thepopulation of countries that have similarities with Indonesia that cluster contain Indonesiatherein, there are countries which is sustain crisis and non-crisis of rice in 2008, and clusterwhich is have the largest member among them. This criterion is met by cluster 2, whichconsists of 22 countries, namely Indonesia, Brazil, Costa Rica, Djibouti, Dominican Republic,Ecuador, Fiji, Guinea-Bissau, Haiti, India, Jamaica, Japan, Korea South, Madagascar,Malaysia, Mali, Nicaragua, Panama, Peru, Senegal, Sierra Leone and Suriname.

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