Optimasi konsumsi bahan bakar pada mesin bensin menggunakan artificial neural network

The engine control unit (ECU) is the primary component of current injection technique used in spark ignition (SI) engines. combustion system, which includes timing and timing, controlled by map recorded ECU. To maximize an engine's performance, ECU remapping can be used. Remapping currently not efficient because data typically employed a trial-and-error fashion. solve these issues, artificial neural network (ANN) techniques are being developed. In this study, for fuel economy optimization predicted using (ANN). purpose study to use ANN compare motorbike performance between before after (Artificial Neural Network). A set dynamometers approach assess 4 stroke, 160 CC plug terms consumption, power, torque. (standard) that contains number from electronic start process. Pertalite Pertamax, purchased closest gas station, fuels study. addition, utilizing carried out with goal 10% increases torque power while maintaining consistent consumption. Following re-implementation into ECU, outcomes training will tested again on dynamometer. study's finding function, it possible improve machine regression value R = 0.98993 prediction outcomes. Comparing optimized factory default increased 10.9% rose 9.5%.