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  <title>DISTRIBUSI SPASIAL PADA UNMEASURED AREA</title>
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  <namePart>DEWI NOVITA SARI</namePart>
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  <place>
   <placeTerm type="text">Bandung</placeTerm>
   <publisher>Magister Statistika Terapan</publisher>
   <dateIssued>2010</dateIssued>
  </place>
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  <languageTerm type="code">id</languageTerm>
  <languageTerm type="text">Indonesia</languageTerm>
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 <note>Metode Ordinary Kriging merupakan suatu teknik yang digunakan dalam &#13;
interpolasi spasial. Metode ini ditujukan untuk mengatasi masalah estimasi nilai &#13;
Tingkat Pengangguran Terbuka (TPT) pada lokasi yang tidak terkena sampel &#13;
Sakemas. Kriging membutuhkan model statistik spasial yang dikenal dengan &#13;
nama semivariogram. Ada beberapa model semivariogram, namun yang umum &#13;
digunakan adalah model Spherical, model Exponential dan model Gaussian. &#13;
&#13;
Sumber data yang digunakan adalah data hasil Survei Angkatan Kerja &#13;
Nasional (Sakernas) periode Agustus Tahun 2008 di Kota Jambi. Variabel yang &#13;
digunakan adalah variabel Tingkat Pengangguran Terbuka (TPT) dan variabel &#13;
spasial (Xi, Yi) yaitu titik koordinat dari garis lintang dan garis bujur masing­ &#13;
masing desa/kelurahan. &#13;
&#13;
Abstract &#13;
&#13;
Ordinary Kriging method is a technique for spatial interpolation. This &#13;
method is intended to overcome the problem of estimated value of Unemployment &#13;
Rate (FPT) in locations from which measurements have not been taken. Kriging &#13;
requires spatial statistical model known as the semivariogram. There are several &#13;
semivariogram model, but a commonly used are Spherical model, Exponential &#13;
model, and Gaussian model. &#13;
&#13;
Source data used is the result of the National Labour Force Survey &#13;
(SAKERNAS) periode August 2008 in Jambi Municipality. Variable used are &#13;
unemployment rate (TPT) and spatial variable (Xi, yJ that is coordinates point of &#13;
latitude and longitude of each district.</note>
 <note type="statement of responsibility">DEWI NOVITA SARI</note>
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  <topic>Distribusi Spasial pada Unmeasured Area   : Semiva</topic>
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 <classification>519.53</classification>
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  <physicalLocation>Perpustakaan Universitas Padjadjaran Kementerian Riset Teknologi dan Pendidikan Tinggi</physicalLocation>
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