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All Journal Jurnal Keteknikan Pertanian Jurnal Serambi Engineering
Agus A Munawar
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Environmental Science

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Non Destructive Inner Quality Prediction In Intact Mango With Near Infrared Reflectance Spectroscopy Agus A Munawar; I Wayan Budiastra
Jurnal Keteknikan Pertanian Vol. 23 No. 1 (2009): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.023.1.%p

Abstract

Two major parameters which determine inner quality and the taste of mango, total soluble solids (TSS) and firmness, are still determined destructively. To evaluate the feasibility of near infrared reflectance spectroscopy (NIRS) technique in determining total soluble solids (TSS) contents and firmness in intact mango, diffuse reflectance (R) spectra were measured in the spectral range from 900 to 1400 nm. Calibration models using R and log (1/R) were established by stepwise multiple linear regression with k-fold leave oneout (LOO) cross validation. The correlation coefficients (r) of calibrations ranged from 0.89 to 0.96 with SEC values 0.46 to 1.08. Both TSS and firmness were predicted accurately using log (1/R) spectra.Keywords: mango, NIRS, firmness, TSS, non-destructiveDiterima: 8 Juni 2008; Disetujui: 31 Januari 2009
Identifikasi Senyawa Boraks pada Bakso secara Non Destruktif Menggunakan Spektrum Inframerah Dekat dan Principle Component Analisys Budiara Pahlawan; Yunardi Yunardi; Agus A Munawar; Friska Meirisa; Hesti Meilina Meilina
Jurnal Serambi Engineering Vol 5, No 4 (2020)
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v5i4.2337

Abstract

The combination of Near Infrared (NIR) Spectroscopy and multivariate analysis using Principle Component Analysis (PCA) was developed to detect the presence of borax in meatballs. The conventional analysis used to detect the presence of borax has been considered inefficient because it is only able to qualify for the presence of borax, but cannot determine the dose of borax used. This study aimed to identify the presence of borax in meatballs using NIR Spectroscopy in the 1000-2500 nm range and maximize PCA performance by combining MSC and SNV pre-treatment with Savitzky Golay second derivative. The results showed that the identification of borax can occur at a wavelength of 1800 - 2500 nm, which is indicated by vibrations at a wavelength of 1865 nm with the atomic structure of C-Cl and the combination of pre-treatment of the second derivative of Savitzky Golay also successful for grouping the data to be better.
Co-Authors Budiara Pahlawan Friska Meirisa Hesti Meilina Meilina I Wayan Budiastra yunardi yunardi