FUNCTION GROUP SELECTION OF SEMBUNG LEAVES (BLUMEA BALSAMIFERA) SIGNIFICANT TO ANTIOXIDANTS USING OVERLAPPING GROUP LASSO
| Autor: | Bagus Sartono, Farit M Afendi, Agus M Soleh, Kusnaeni Kusnaeni |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | BAREKENG: Jurnal Ilmu Matematika dan Terapan. 16:721-728 |
| ISSN: | 2615-3017 1978-7227 |
| DOI: | 10.30598/barekengvol16iss2pp721-728 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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