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    <subfield code="a">Ottawa-Gatineu, Predicted that in 2020 Oil and LNG production both types of fossil fuels is declining. These conditions encourage countries in the world to perform efficiency and explore the potential of new energy source and perform diversification of fuel oil. One of the alternative energy sources that can be proposed is biofuel   Biofuel to have become the focus of many researchers in many countries There are many of the biodiesel sources which are derived from the seeds of the plants, but at the same time people need these plants for food supply (Palm oil, coconut oil, Soybean oil, corn oil, etc). The use of microalgae to replace fossil fuel has become one focus of attention as the use of this plant is beneficial since it has lesser or nearly no effect to the world&#x2019;s food supply   The extraction and transestrification of microalgae oil are interesting topics (besides culturing and microalgae strain) in the development process of biodiesel microalgae. Some methods of biodiesel production have been well known. In this research, the ultrasonic method was used to identify the dominant factors in the extraction and in situ transesterification processes and to determine the optimum combination of the dominant factors. This is an experimental laboratory study that was run using ultrasonic homogenizer Omni Ruptor 4000, examining the effect of type of solvent, solvent concentration, alga-solvent ratio, ultrasonic power, ultrasonic time, ultrasonic pulse and mixing toward yield. Based on Box-Behnken design, a quadratic model is developed to correlate the parameter to surface area to analyze certain factors and combination of dominant factors.     The result shows that power, time and pulse as the most dominant factors that influence the yield. In the extraction, the combinations of pulse-time give better result than power-pulse combination. While in the in situ transesterification, the power-time combination give better result that power-pulse combination. Even though the optimum point has not been reached yet, in general the combination of power-time is categorized as the most influential combination to increase the yield.   The experimental values versus predicted values use the model equation developed by STATISTICA Software version 6.0. A line of unit slope, the line of perfect fit with points corresponding to zero error between experimental and predicted values is also shown that the coefficient of correlation (R2) is 0.97977 (for extraction) and 0.98743 (for in-situ). Saponication number is 114, 269 KOH/1 g oil. The percentage of FFA  is 19.67% consisting of monounsaturated and polyunsaturated Octadecenoic acid (C18:1) 43.49%,  Dedecanoic acid (C12) 16.30%, Hexadecanic acid (C16:0) 12.51%, Tetradecanoic acid (C14) 11.43%, Octadecadinoic acid (C18:2) 5.85% dan  Octadecanoic acid (C18:0)  5.62%.</subfield>
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