Pendugaan Model Rancangan Campuran-Campuran dengan Petak Terbagi
Model Estimation of Mixture-Mixture Design using Split Plot
Date
2010Author
Andriyati, Ani
Wigena, Aji Hamim
Syafitri, Utami Dyah
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Prosedur sidik jari kromatografi merupakan suatu pendekatan efektif untuk mengontrol kualitas obat herbal. Optimisasi sidik jari kromatografi diperoleh melalui optimisasi faktor pelarut ekstraksi dan faktor fase gerak kromatografi cair kinerja tingkat tinggi (KCKT). Prosedur sidik jari dilakukan untuk mengetahui komposisi yang tepat dari campuran ekstraksi dan campuran fase gerak kromatografi. Mixture-mixture design with a split plot was proposed for simultaneously two mixture systems. The complete model was formed by multiplying cubic models for two systems. The design was applied to the simultaneous optimizations of both mobile phase chromatographic mixtures and extraction mixture for the Phyllanthus niruri L. In this experiment used split plot approach. Saturated model coefficients were hypothesized with confident interval 99%. Reduction model consisted of real coefficients in complete coefficient models. Estimation method of reduction model coefficients consisted of Ordinary Least Square (OLS) and Generalized Least Square (GLS). Models were formed to count sum peaks chromatographic at 225, 254, and 260 nm. RMSEP values in OLS method at wavelength 225, 254, and 260 nm were produced 4.122, 3.049, and 2.56, otherwise RMSEP values in GLS method were 3.99, 2.79, and 3.18. There are component indicators in wavelength greater and more complex. The GLS method was better than OLS method based on simulation error of variance ratio 0.2 up to 0.3.