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Survey Paper | Computers in Biology and Medicine | Indonesia | Volume 6 Issue 10, October 2017

Dendrogram Simulations with Determinatvariable Identifer to Determine the Farm Classification Systems of Bali Pigs

I PutuSampurna | Tjokorda Sari Nindhia | I Made Sukada

Abstract: Research on dendrogram simulations with variable identifier to determine the classification systems of the bali pig farms have been done in three villages in the Gerogak District, Buleleng, which has selected as purposive sampling. Proportionate stratified random sampling was performed based on the number of pig populations in the village Variable identifier livestock system includes intensive, semi-intensive and extensive (traditional) rearing methods. Direct question to ech farmer was conducted regarding to the maintenance management, food given, the treatment and pig health, and the selection of breeding stocks. In addition to those questions, direct observation was conducted to the animals in the sites. Each of questions or direct observations conducted was scored in ordinal scale, namely 1, 2 and 3, each depicting the classification system of intensive, semi-intensive and extensive. Data were analyzed in single solution Hierarchical Cluster, so that any variable has the same score will cluster together, but differ to other score. The result shows that the dendrogram simulations with variable identifier can be used to classify the variables into clusters. Based on the 25 variables studied to classified the bali local pigs, the value of each cluster were 5, 9 and 11 of intensive, semi-intensive and extensive rearing methods, respectively

Keywords: dendrogram, variable identifier, Bali pig, cluster analysis

Edition: Volume 6 Issue 10, October 2017,

Pages: 1602 - 1606