PERANCANGAN SISTEM PEMANFAATAN LAHAN NTUK PERKEBUNAN DENGAN METODE SMALL AREA ESTIMATION (SAE)

Authors

  • Rinny Riyanti Putri Universitas Tanjungpura

Keywords:

plantations, mapping, spatial data, analysis, SAE, indicator, priority, potential, geographic information system.

Abstract

Plantation is one of strategic subsector that has an important part in region development, therefore it needs a research to maximize the developing of plantation area. The potention of a region to plantation developing basicly specified by the physical environment with specified parameter for the potential area based on some indicators, such as soil texture, depth of soil, the thickness of peat, relief, gradient, temperature and precipitation. The purpose of this research is to design and build systems of utilization to plantation land by applying the approach to Small Area Estimation (SAE), so as to provide information about that it regarding a potential land for plantations as well as the appropriate plant species in an area. SAE is an important concept in sampling especially in parameter where the information sample size is relatively small. SAE generated the information in the form of estimation. This estimation will be used in comparison value to the existing indicators. So in the end the result of system is, management spatial data and tabular area that potential plantation with along viable plants grow in Kubu Raya displayed as map (spatial data) in the geographic information system. Based on this analysis system it is known that the indicators most influence in determining the land area is the plantation of potential indicators are soil texture, the thickness of peat and gradient, so getting the rank value noted that the district that has the most potential as a priority rural farming areas are districts Sungai Kakap, Batu Ampar, and Sungai Ambawang. Test results on systems built respondents, using Likert"™s Summated Rating Method (LSR), the measurement results obtained with a score of 425. Based on a scale of 360 < score < 480, a score of 425 indicates that the system is built is considered successful.

References

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Published

2014-03-07

Issue

Vol. 2 No. 1 (2014)

Section

Articles

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