ANALYSIS OF PIG PROFILES ON SMALL-SCALE PIG FARMERS IN MANOKWARI-WEST PAPUA

Abstract

This study was aimed to determine the profiles of pig farming systems. Participatory situation analysis was employed to gain data relating to pig profiles in the urban and rural areas of Manokwari. Due to the interests of combining many correlated data, multivariate analysis using Principal Component Analysis (PCA) was performed. Cluster Analysis using Agglomerative Hierarchical Clustering was applied for analysis of merge samples based on similarity in components’ composition across sites. There were various twelve classes of pig profiles in Manokwari. In principal component of the first axis correlation of several components shows strong positive relation e.g. in piglets, sows, and total herd size. Status of region in the first axis of PCA (P1) through which pigs were raised had negative correlation, including grower, household member and pig production. In the second axis (P2), negative correlations were shown in piglets, grower, boars, total herd size and the Pig Production Potential (PPP). Status of region has underpinned profiles of pigs. Several farmers were able to manage their farm continuity in a steady composition. Selling pigs was the main aim and few farmers play a role as pure breeder.

Keywords

• agglomerative hierarchical clustering
• pig profiles
• principal component analysis
• cluster analysis