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Liquid fuel from plastic waste polystyrene (PS) with biodiesel co-reactant from used cooking oil was successfully made. This research was conducted using the catalytic cracking method by Pd/Al-MCM-41/ceramic catalyst to produce various types of hydrocarbon fractions. The structure, morphology, chemical bonds and porosity of the catalyst were examined by XRD, SEM-EDX, SEM, Adsorption-desorption N2, FTIR-Pyridine. The product of catalytic cracking were analyzed by Gas Chromatography - Mass Spectroscopy (GC-MS). The results from GC-MS analysis showed that the largest content of the gasoline hydrocarbon fraction (C7–C12). The oil from PS/Kat120 catalytic cracking has the largest gasoline fraction of 85.64%. More gasoline fractions were formed at the time of catalytic cracking for 120 minutes compared to 60 minutes. The liquid fuel produced by catalytic cracking is added by Premium RON 88 and MTBE additives for research on fuel performance using gasoline engines. Physical characteristics in the form of density, flash point, calorific value, and octane number of a mixture of liquid fuels were also examined. The mixture of CPSJ/Kat2 liquid fuel has the highest percentage of thermal efficiency that is 26.33%, density value of 0.7515 g/ml, a flash point of -48.7C, a heating value of 19160.61 kcal k, and an octane number of 95.6. Characteristics of a mixture of liquid fuels produced in accordance with SNI 06-3506-1994. In addition, the characteristics of the liquid fuel produced are also in accordance with the standard of commercial gasoline.

The aluminum smelting process produces a large number of by-products, known as slags that can be reused for landfill or dumped into landfills. Smelting waste contains aluminum in the form of alumina at high concentration (around 30%). Direct disposal of this waste into the environment can cause environmental pollution. Aluminum in the waste can react with water and produce corrosion products. Therefore, this study explores the potential for recovering aluminum from smelting waste using an acid leaching process. The efficiency evaluation of aluminum recovery was carried out by optimizing using Response Surface Methodology (RSM) with Box-Behnken Design. Optimization results show that aluminum recovery increases with increasing temperature and heating time. The acid concentration and the ratio of solid to liquid showed an initial increase followed by a reduction in recovery with an increase in concentration and a solid- liquid ratio. RSM predicts that aluminum recovery can reach optimum when heated at 50 °C for 6 hours and 1.5 ratio of solid/liquid using 2 M acid concentration.

Gelatin has been widely used as an additive in pharmaceutical, cosmetic, and food industry. The similar physical appearance between bovine and porcine gelatin causes an issue for some communities like a Muslim due to awareness of halal food. A Muslim community consider porcine gelatin is non-halal material which must be avoided. So there is a demand to distinguish and labeling the origin source of the gelatin in any products. In turn, it lead to development of a method to identify the source of gelatin. In this study, performance of a modified Quartz Crystal Microbalance (QCM) sensor to identify halal gelatin has been investigated. A QCM sensor was modified by depositing polyaniline/nickel compound on the surface of gold electrode QCM carried out by Layer by Layer (LbL) deposition technique. Bovine and porcine gelatin were measured in demineralized water at pH 9. This modified QCM sensor shows good frequency response to distinguish bovine and porcine gelatin. The measurements gave a negative frequency shifts for bovine gelatin and a positive frequency shifts for porcine gelatin. The modified QCM sensor also worked well in the real sample. This indicates that a modified QCM sensor is very useful and effective technique to distinguish bovine gelatin (halal) from porcine gelatin (non-halal).

Gelatin in ice cream samples has been successfully identified using Quartz Crystal Microbalance (QCM) sensors. The sensor was prepared by polyaniline and nickel nanoparticles modification. The modification was deposited on the surface of QCM gold electrode using layer by layer (LbL) method. Performance of the sensor was investigated for gelatin determination in the homemade ice cream samples. The homemade ice cream was made with and without porcine or bovine gelatins addition. The experiments were performed in various concentration of the ice cream (100, 200, 300, 400, and 500 ppm) at pH 9. The measurement was compared to the standard of porcine and bovine gelatins. The results showed that the sensor can be identified gelatin in ice cream samples. Frequency shift of ice cream that contained porcine gelatin was appeared as positive value, whereas a negative shift value was occurred for ice cream that contained bovine gelatin.

Liquid fuel from polystyrene plastic waste with co-reactant of cooking oil waste biodiesel has been obtained. The catalysts used in catalytic cracking are Al-MCM-41/ceramic and Pd/Al-MCM-41/ceramic catalysts. Morphology and elemental composition were observed with SEM EDX, the crystal structure observed with XRD, surface area and pore volume were analyzed by Nitrogen adsorption-desorption each calculated by BET and BJH method, acidity determined by FTIR-Pyridine, and temperature resistance analyzed by DTA. The results of catalytic cracking were investigated using Gas Chromatography-Mass Spectroscopy (GC-MS). Characterization of the catalyst showed that acidity was reduced because the Si/Al ratio was reduced after the impregnation and the surface area of Al-MCM-41/ceramics also decreased. SEM EDX shows that the composition of the carbon element on the surface of the Pd/Al- MCM-41/ceramic catalyst is smaller compared to the Al-MCM-41/ceramic catalyst. The results of the GC-MS characterization of liquid fuels from catalytic cracking using Pd/Al- MCM-41/ceramics catalyst, have a percentage of gasoline fraction (C7-C12) of 74.9% at 120 minutes cracking. The mixture of fuel from the addition of 150 mL liquid fuel resulting from catalytic cracking with Pd/Al-MCM-41/ceramic catalyst has the highest calorific value of 19160.61 (kcal/kg) and the performance of the gasoline Genset engine has the highest thermal efficiency of 28.27%.

Liquid fuels from polypropylene plastic waste and co-reactants biodiesel from nyamplung oil (Calophyllum Inophylum) have been successfully performed by catalytic cracking method. The catalyst used is Al-MCM-41: Ceramics with ratio 7:3. The catalyst was characterized by XRD, SEM, Pyridine-FTIR, N2-Adsorption-Desorption, and the product of catalytic cracking were investigated by gas chromatography-mass spectroscopy (GC-MS). The Liquid fuels obtained was mixed with commercial fuels (Premium RON 88) and methyl tertiary butyl ether (MTBE) with ratio (10:87.5:2.5). The results showed liquid fuels have the largest percentage of gasoline (C7-C12) are 93.92 fraction produced. The performance of liquid fuels is enhanced with the additive MTBE investigated by generator set engine with gasoline-based fuel. Physical characteristic as density, caloric value, viscosity of liquid fuels were also investigated before and after adding commercial fuels. The performance of liquid fuels has optimum thermal efficiency (BTE) at 2090 watts loading of 27.18%. Addition of MTBE improving the physical characteristic of liquid fuels. Characteristic of liquid fuels produced were also suitable with commercial gasoline standard.

Liquid fuel from polystyrene waste and waste cooking oil biodiesel was successfully obtained through catalytic cracking using Al-MCM-41/Ceramic. The structure, morphology, acidity, and porosity of the catalyst were studied by SEM-EDX, pyridine FTIR, and N2 gas adsorption-desorption. The products of catalytic cracking were analyzed using gas chromatogram-mass spectroscopy (GC-MS). The highest yield was obtained at feedstock variations of 57% (P): 43% (M) with the number of hydrocarbon fractions (< C7) is 0.48%, hydrocarbon fraction (C8 - C12) is 20.99%, and hydrocarbon fraction (> C12) is 78.53% in the cracking time 1 hours. Physical characteristics were reported in the form of density, flash point, and caloric value respective. The performance of liquid fuels with commercial fuels, Premium (RON 88), and additives of methyl tertiary butyl ether (MTBE) comparisons of 225 (mL): 750 (mL): 18.25 (mL) respectively produce thermal efficiency on engine use gasoline generator sets was 28.22% at the load of 2118 Watts. Based on this research, all variations of feedstock produce liquid fuels that are in accordance with SNI 06-3506-1994 concerning the quality of gasoline fuel types. Keywords: Catalytic cracking, polystyrene waste, waste cooking oil, liquid fuel

Liquid fuels from polypropylene plastic waste have been successfully performed by catalytic cracking method. The catalyst used is Al-MCM-41- Ceramics. The catalyst was characterized by XRD, SEM, Pyridine-FTIR, N2-Adsorption-Desorption, and the product of catalytic cracking were investigated by gas chromatography-mass spectroscopy (GC-MS). The catalyst was using three times at sample notify A,B and C. The results showed liquid fuels have the largest percentage of gasoline (C8-C12) are 92.76; 91.92 and 90.58 percent fraction produced. The performance of catalyst showed that reuseability number were decrease, but the charactersitic of liquid fuel produced were also be agreeable to commercial gasoline standard. Keywords: olypropylene waste plastics, liquid fuels, catalytic conversion, Al-MCM-41-Cer catalyst, reuseability number.

Fabrication of pH sensor based on fiber optic coated bromophenol blue and cresol red has been done. Briefly, jacket in the middle part of the fiber optic was removed for 5 cm. Then the core of each of fiber optics was washed in ethanol. Nitric acid, demineralized water, and ethanol again consecutively. Then the cleaned core was coated using active material using sol-gel immobilization technique. Tetraehyl orthosilicate was used as a binder in the immobilization of active materials. Bromophenol blue will start change the color to yellow at below pH 3.00±0.01 and blue at above pH 4.60±0.01, while the cresol red will start change the color to yellow at below pH 7.20±0.01 and violet at above pH 8.80±0.01. The pH sensors which have been made show the sigmoidal response over pH from 1.00±0.01 to 11.00±0.01. The sensor has a better performance in comparation with the other sensor.

Composite polymer-carbon has resistance change if come into contact with gas. Composite polymer-carbon can be used as a gas sensor. This research will be characterized the sensor composite polymer-carbon that has been made from 6 types of polymer, which are; PEG6000, PEG20M, PEG200, PEG1540, Silicon and Squelene. The 6 sensors will be tested by 9 types of gas, which are; Aceton, Aceton Nitril, Benzene, Etanol, Methanol, Ethyl Aceton, Chloroform, n-Hexan and Toluene. This characterization will be grouped into 4 claster of characteristics, which are; the selectivity (influence type of gas), the sensitivity (influence volume of gas), the influence of temperature and the influence of humidity. Test using method testing sensors that paleced in an isolated chamber which is connected with data acquisition. variations of temperature, humidity, type and volume of gas will be condition in the chamber. Correspondence analysis and regression will be used to process the data. Test results found that each sensor of type of polymers have different sensitivity and selectivity towards a particular type of gas. Resistance sensors increases with rising temperature and humidity environment with a polynomial equation of order-2 and order-3

The conventional electronic nose usually consists of an array of dissimilar chemical sensors such as quartz crystal microbalance (QCM) combined with pattern recognition algorithm such as Neural network. Because of parallel processing, the system needs a huge number of sensors and circuits which may emerge complexity and inter-channel crosstalk problems. In this research, a new type of odor identification which combines between gas chromatography (GC) and electronic nose methods has been developed. The system consists of a GC column and a 10-MHz quartz crystal microbalance sensor producing a unique pattern for an odor in time domain. This method offers advantages of substantially reduced size, interferences and power consumption in comparison to existing odor identification system. Several odors of organic compounds were introduced to evaluate the selectivity of the system. Principle component analysis method was used to visualize the classification of each odor in two-dimensional space. This system could resolve common organic solvents, including molecules of different classes (aromatic from alcohols) as well as those within a particular class (methanol from ethanol) and also fuels (premium from pertamax). The neural network can be taught to recognize the odors tested in the experiment with identification rate of 85 %. It is therefore the system may take the place of human nose, especially for poisonous odor evaluations.