Nowadays the fuel energy is consumed more than it was used in the past and most of energy used comes from petroleum which is not reusable. Moreover the crude oil which is raw material to be refined is likely to take place in nature; it usually takes a long time. Therefore this natural resource must be used efficiently to maximize its benefits. Construction of Econo Power Car will be one of many methods to decrease the energy consumption. The objective of research aims to influence parameter effecting to the fuel consumption such as engine system transmission system suspension system and fuel injection system. Furthermore the Econo Power Car is estimated to cooperate with 11th Honda Econo Power. To achieve this the effects of fuel consumption parameters are investigated using experiments. For the suspension system the wheel resistance and the rolling resistance are decreased by wheel angle modification and changing the wheel bearing. Moreover the engine is adjusted by the fuel injector addition. For the economical experiment in the 11th Honda Econo Power the By Part Team (RMUTP Team) has the consumption 843.443 kilometer/liter and within 4th order from 347 teams by the invent higher education of competition and type of 125cc. The winner team has the economize statistics 999.746 kilometer/liter. As a result influence parameters of fuel consumption are wheel resistance and engine system which is good knowledge for the development of the Econo Power Car in the future.

This project design and constructions high voltage high frequency transformer or tesla transformer. The tesla transformer is design at 500 kV rating voltage and 250 kHz resonant frequency. By coupling air axle and have the air are the electric insulator between primary coil and secondary coil Which primary coil test at 60 degree Group part spark gap is will the Electrostatic gap. This paper propose and consider high voltage high frequency transformer at 500 kV and 250 kHz rated. For use a transformer aforementioned is the equipment for test flash over prenouaena of porcelain insulator and electric insulation.

Nowadays many robot approaches to robust control problems are applicable only to linear systems for nonlinear systems; we may not be able to easily compute the solution to the optimal control problem as analytical solutions may not be available problem is that statically-stable wheeled mobile robots can easily become dynamically unstable. If the center of gravity is too high or the robot accelerates/decelerates too rapidly or is on a sloping surface so the power supply are necessary for input to actuator robot. This paper presents mode control solutions in power supply for support Omni mobile robot. The performance compare between Continuous Conduction Mode (CCM) and Discontinuous Conduction Mode (DCM) in Power supply. The experiment on the 5V/50W 100 KHZ prototype CCM and DCM converter which have been designed and builted with similar circuit layouts and component. Aspects to be compared are stability voltage and ripple factor. The both operation mode are discussed based on the simulation and experimental result.

This research was to influence of electrode force affecting the complete of the resistance spot welding. The specimen was mild steel sheet metal has 1 mm. thickness. Then applied the force to the specimen are 1.0 2.0 3.0 4.0 and 5.0 kN. The welded specimens were tested by tensile shear testing according to JIS Z 3136: 1999 and Macro structure testing according to JIS Z 3139: 1978.The results showed that electrode force had affected on tensile shear and nugget size at 95% confidential (P value > 0.05). The low electrode force had increase the nugget heating because it had a high resistance (Q=I2Rt) and increase the gab between specimen. When the resistance increasing so the current flow will difficult to passed that fusion zone will had a high heating. It will affected to nugget seize heat affected zone and mechanical properties decreasing. The electrode forces are complete 2.0 kN. Tensile shear 6.39 kN and Nugget Size 5.83 mm. This data can be applied to be used as process monitoring of resistance spot weld quality.

The objective of this research is to design forecasting support models on demand of durian for domestic markets and export markets for durian gardeners durian entrepreneurs of domestic markets and export markets and the Office of Agricultural Economics to plan durian demand conforming with domestic markets and export markets because of Production and marketing main problems (The Agricultural Information Center The office of Agricultural Economics: 2008) such as over - much durian production during production capital increased farmers durian sold price tended to be lower and lower inefficient domestic market management and more export but cheaper price therefore after that to design forecasting for the purpose in order that durian would not be over demand which is containing factors of the demand of durian fresh durian frozen durian paste and durian chips for domestic markets and export markets exported to Asia America Australia and Africa. The research involves historical collection data in the period of 2002 to 2008. The basic of forecast models are the designed and improved models using an intelligent knowledge-based approach beginning Moving average Deseasonalized Exponential smoothing Double exponential smoothing and Artificial neural network (ANNs) program within the model of new value Creation and comparative accuracy models. The evaluation result of forecasting durian demand showed that lowest MAPE of Deseasonlized models at 3 month was durian fresh durian frozen and durian paste but durian chips showed that lowest MAPE of ANNs at 4 input 10 hidden layers and 1 output was high accurate forecasting and optimal models. The analysis recommendations and error forecast of durian demand are also presented.