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

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.
Keywords: plantations,  mapping,  spatial  data, analysis, SAE, indicator, priority, potential, geographic information system
Penulis: RINNY RIYANTI PUTRI
Kode Jurnal: jptinformatikadd140159

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