ANALISIS KADAR VIRGIN COCONUT OIL (VCO), AIR, DAN PADATAN NON LEMAK PADA SANTAN KELAPA (Cocos nucifera) MENGGUNAKAN METODE SPEKTROSKOPI INFRAMERAH DAN KEMOMETRIKA MULTIVARIATE CURVE RESOLUTION (MCR)

Nurul Hikmah Suraswati, NIM.: 21106030045 (2025) ANALISIS KADAR VIRGIN COCONUT OIL (VCO), AIR, DAN PADATAN NON LEMAK PADA SANTAN KELAPA (Cocos nucifera) MENGGUNAKAN METODE SPEKTROSKOPI INFRAMERAH DAN KEMOMETRIKA MULTIVARIATE CURVE RESOLUTION (MCR). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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	Text (ANALISIS KADAR VIRGIN COCONUT OIL (VCO), AIR, DAN PADATAN NON LEMAK PADA SANTAN KELAPA (Cocos nucifera) MENGGUNAKAN METODE SPEKTROSKOPI INFRAMERAH DAN KEMOMETRIKA MULTIVARIATE CURVE RESOLUTION (MCR)) 21106030045_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf - Published Version Restricted to Registered users only Download (8MB) | Request a copy

Abstract

Coconut milk is an essential food ingredient in Indonesia with Virgin Coconut Oil content that has high economic value. Accurate and rapid determination of Virgin Coconut Oil (VCO), water, and non-fat solids is crucial for material determination and quality control. This study aims to (1) identify the presence of VCO, water, and non-fat solids in coconut milk variants based on the Fourier Transform Infrared (FTIR) spectrum, (2) develop a predictive model for qualitative and quantitative analysis of the content of these components using the FTIR method with Multivariate Curve Resolution (MCR) chemometric analysis, and (3) validate the quantitative method developed. Coconut milk samples were varied in composition and their FTIR spectra were measured. The spectral data were then processed and analyzed using MCR with the application of non-negative limits. The results showed that FTIR spectroscopy successfully identified active functional groups from VCO, water, and non-fat solids, with the pure spectrum extracted by MCR being in good agreement with the reference spectrum. The predictive model built was able to describe the mixture spectrum and predict the concentration of each component with high accuracy. Validation of the quantitative method showed excellent performance, as evidenced by the correlation coefficient (r>0.943) and determination coefficient (R2>0.889) and good recovery percentage (91.7-113.2%). This indicates that the FTIR method combined with MCR-ALS chemometrics is an accurate, fast, and efficient approach for qualitative and quantitative analysis of coconut milk composition.

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