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  <title>Prediction of Caffeine Content in Java Preanger Coffee Beans&#13;
by NIR Spectroscopy Using PLS and MLR Method</title>
 </titleInfo>
 <name type="Personal Name" authority="">
  <namePart>Sutrisno</namePart>
  <role>
   <roleTerm type="text">Primary Author</roleTerm>
  </role>
 </name>
 <name type="Personal Name" authority="">
  <namePart>I W Budiastra</namePart>
  <role>
   <roleTerm type="text">Primary Author</roleTerm>
  </role>
 </name>
 <name type="Personal Name" authority="">
  <namePart>S Widyotomo</namePart>
  <role>
   <roleTerm type="text">Primary Author</roleTerm>
  </role>
 </name>
 <name type="Personal Name" authority="">
  <namePart>P C Ayu</namePart>
  <role>
   <roleTerm type="text">Primary Author</roleTerm>
  </role>
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 <typeOfResource manuscript="no" collection="yes">mixed material</typeOfResource>
 <genre authority="marcgt">bibliography</genre>
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   <publisher></publisher>
   <dateIssued>2017</dateIssued>
  </place>
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  <languageTerm type="code">en</languageTerm>
  <languageTerm type="text">English</languageTerm>
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 <note>Abstract. Caffeine is one of important components in coffee that contributes to the coffee&#13;
beverages flavor. Caffeine concentration in coffee bean is usually determined by chemical&#13;
method which is time consuming and destructive method. A nondestructive method using NIR&#13;
spectroscopy was successfully applied to determine the caffeine concentration of Arabica gayo&#13;
coffee bean. In this study, NIR Spectroscopy was assessed to determine the caffeine&#13;
concentration of java preanger coffee bean. A hundred samples, each consist of 96 g coffee&#13;
beans were prepared for reflectance and chemical measurement. Reflectance of the sample was&#13;
measured by FT-NIR spectrometer in the wavelength of 1000-2500 nm (10000-4000 cm-1)&#13;
followed by determination of caffeine content using LCMS method. Calibration of NIR spectra&#13;
and the caffeine content was carried out using PLS and MLR methods. Several spectra data&#13;
processing was conducted to increase the accuracy of prediction. The result of the study&#13;
showed that caffeine content could be determined by PLS model using 7 factors and spectra&#13;
data processing of combination of the first derivative and MSC of spectra absorbance (r=&#13;
0.946; CV= 1.54 %; RPD= 2.28). A lower accuracy was obtained by MLR model consisted of&#13;
three caffeine and other four absorption wavelengths (r= 0.683; CV= 3.31%; RPD= 1.18)</note>
 <note type="statement of responsibility"></note>
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 <location>
  <physicalLocation>UPT. Perpustakaan UNIMUDA Sorong Universitas Pendidikan Muhammadiyah (UNIMUDA) Sorong</physicalLocation>
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  <recordCreationDate encoding="w3cdtf">2021-08-13 09:49:21</recordCreationDate>
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