FUNCTION GROUP SELECTION OF SEMBUNG LEAVES (BLUMEA BALSAMIFERA) SIGNIFICANT TO ANTIOXIDANTS USING OVERLAPPING GROUP LASSO

  • kusnaeni kusnaeni Department of Statistics IPB, FMIPA, Bogor Agricultural University
  • Agus M Soleh Department of Statistics IPB, FMIPA, Bogor Agricultural University
  • Farit M Afendi Department of Statistics IPB, FMIPA, Bogor Agricultural University
  • Bagus Sartono Department of Statistics IPB, FMIPA, Bogor Agricultural University
DOI: https://doi.org/10.30598/barekengvol16iss2pp721-728
Keywords: Sembung, Selection of Group Variables, Overlapping Group Lasso

Abstract

Functional groups of sembung leaf metabolites can be detected using FTIR spectrometry by looking at the spectrum's shape from specific peaks that indicate the type of functional group of a compound. There were 35 observations and 1866 explanatory variables (wavelength) in this study. The number of explanatory variables more than the number of observations is high-dimensional data. One method that can be used to analyze high-dimensional data is penalized regression. The overlapping group lasso method is a development of the group-based penalized regression method that can solve the problem of selecting variable groups and members of overlapping groups of variables. The results of selecting the variable groups using the overlapping group lasso method found that the functional groups that were significant for the antioxidants of sembung leaves were C=C Unstructured, CN amide, Polyphenol, Sio2.

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Published
2022-06-01
How to Cite
[1]
kusnaeni kusnaeni, A. Soleh, F. Afendi, and B. Sartono, “FUNCTION GROUP SELECTION OF SEMBUNG LEAVES (BLUMEA BALSAMIFERA) SIGNIFICANT TO ANTIOXIDANTS USING OVERLAPPING GROUP LASSO”, BAREKENG: J. Math. & App., vol. 16, no. 2, pp. 721-728, Jun. 2022.
Issue
Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Section
Articles

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