The aims of this study were developed geopolymer matrix for controlled release amoxicillin antibiotic drug in the in vitro gastric and intestines (pH 1 and pH 6.8 temperature 37 ºC conditions). Three formulations of geopolymer tablets (GeAmSF5 GeAmSF7.5 and GeAmSF10) which different silica fume content were used in this study. Geopolymer tablets were measured compressive strength and characterized by using 3D laser microscope Scanning electron microscope (SEM) X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). The amoxicillin release was analyzed by UV-VIS spectrophotometer. It was found that amoxicillin in geopolymer tablet was more resistance with various extraction solvents (ethanol water 50 oC pH 1 and 12 solutions) than amoxicillin commercial tablet in 2 hours. Moreover the amoxicillin constantly release from geopolymer matrix after 3 hours in both in vitro gastric and intestines. However amoxicillin was more release in gastric than intestines condition due to the strong acid leached aluminum ion causing damages geopolymer structure. Mathematical modeling of amoxicillin release from geopolymer matrix was fitted best with Higuchi model indicating diffusion of the drug out of matrix.

CO2 emission of rail transportation system plays more important role including the expansion of BTS route that consume the energy and emit CO2 gas more and more. The purpose of this research was to find out amount of CO2 emission from travelling by BTS train and determine specific CO2 emission per product in the form of gCO2e/passenger/km then forecasting on CO2 emission from BTS operations. Research process was initiated from collecting monthly data on ridership distance and electricity for 55 months continuously then regression analysis CUSUM and time series analysis were used for prediction and analysis of CO2 emission. The finding indicated that BTS’s specific CO2 emission was 24.7 gCO2e/passenger/km. Forecasting CO2 Emission from BTS result that Winters Exponential Smoothing Method is most accuracy then Double Exponential Smoothing Method Trend Analysis Method and Decomposition Method respectively. The result of these analysis could be used to calculate carbon footprint from staff travelling by BTS train and promote people to use public transport by government as sustainable transportation concept.