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.

Research was conducted at AR0-M Pig Farming in Bumi Marina, Manokwari from August to September 2017 to investigate the body length dimension of Batam Cross Pig. Eight young male Batam Cross pig at 8 month years old were measured five times. Collected data was analysed using regression curve estimation. Result showed that body length had a high potential growth. Both head and neck length had medium potential growth, length had a while tail length had a law potential growth.