The purpose of this research is to design and develop dummy (anthropometric test dummy) for motorcycle frontal collision test. The conceptual design of dummy is male aging between 25-55 years old 6 pieces of rib and deformable 76.2 mm. In order to performance test it was classified into 2 testing by static testing and dynamic testing. For static testing the energy absorption behavior between force and deflection or “ static curves” is determined. While dynamic testing is considered to the energy absorption behavior between forces and several velocities or dynamic forcedeformation curves impact acceleration impact force on sternum and injury severity with the relationship of viscous in velocity function. The results of the energy absorption behavior on chest of dummy from static testing the tendency of chest deflection is relatively low during the initial force and suddenly increasing when rise to the critical point. This behavior is similar to the energy absorption of the human chest. Therefore the design features of this test dummy can reflect behavior that is close to the human anatomy. In case of dynamic testing it is discovered the ability of the dummy testing to absorb up to 560 J impact acceleration 3 8 . 4 3 g impact force on sternum 5 . 0 9 4 kN. The viscous in velocity function is 0 . 8 2 5 m/ s which compared to injury severity at AIS3+ ( or higher than serious injury) . Therefore the dummy design in this research project corresponds to the collision test of a motorcycle.

A design and development of powertrain module crash test using with the motorcycle crash test is aim to create a special tool for automotive assessment and safety engineering based on the realistic test. In order to main system of power module tester is consisting of powertrain system using electrical motor transferring system using chains and gears and control direction system using dual rails respectively. Based on powertrain module tester performance crashing speed relative angle between target and distance before crash are regarded. Nevertheless the result of testing performance was conducted to statistic hypothesis test by Mean Absolute Deviation: MAD Standard Deviation: SD Mean Square Error: MSE Mean Absolute Percent Error: MAPE and Root Mean Square Error: RMSE. The results of this approach discovered that the crashing speed was the highest error with 96% and the lowest was distance before crash. Furthermore it was corresponding to the statistic hypothesis test. However the result of the error was influence of the rails distance which limit by funding. In case of crash energy the mean of energy was appeared on 10.978 J. Whereas the tendency of variable was similar to polynomial equation.