  The problems that exist in implementing a sampling design for socio-economic
surveys in remote areas in Indonesia are high cost of the survey, low response
rate, and less accurate. Therefore, the sampling design needs to be developed,
one of which is to improve the efficiency of the stratification procedure.
Stratification of census block in remote areas can be developed by combining
the strata of welfare concentration and the strata of geographic difficulty by
simulating the various alternatives number of strata and the various
alternatives sample allocation. The strata of welfare concentration and the
strata of geographic difficulty are constructed by Polychoric Principal
Component Analysis. The strata of welfare concentration aim to improve
statistical efficiency, while the strata of geographic difficulty are used to
improve cost efficiency. The estimation procedure is performed at the domain
level and population level. The simulation study focus on Papua Province by
using the 2010 Population Census data and the 2011 Village Potency data. Some
sampling scenarios can be categorized into four quadrants, the first quadrant
with small sampling variance and low cost, the second quadrant with big
sampling variance and low cost, the third quadrant with big sampling variance
and high cost, and the fourth quadrant with small sampling variance and high
cost. Based on these simulation results, several alternative scenarios of
efficient stratification with small sampling variance and low cost of the
survey are obtained.
