Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal IPTEK The Journal for Technology and Science
Sony Sunaryo
Statistika, Institut Teknologi Sepuluh Nopember, Surabaya, INDONESIA
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Unified Discrete Wavelet Transform with Ridge Regression and Principal Component Regression to Predict Concentration of Gingerol Compound in Ginger Crop Sony Sunaryo
IPTEK The Journal for Technology and Science Vol 19, No 3 (2008)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v19i3.148

Abstract

Multivariate calibration model can be used as an alternative method to predict the concentration of a gingerol compound. The prediction usually are carried out chemically through a long and expensive process using High Performance Liquid Chromatography (HPLC) measurement method. Since the number of samples (n) are less than of the number of independent variables (p), and between the independent variables are correlated, so the development of model using conventional regression is not valid. The combination of Discrete Wavelete Transform (DWT) with Ridge Regression and Principal Component Regression have been adopted in this paper to predict concentration of gingerol, and it showed a promising result.
Co-Authors