Tuberculosis (TBC) is an dangerous disease and many people has been infected. One of many important steps to control TBCÂ effectively and efficiently is by increasing case finding using right method and accurate diagnostic. One of them is to detect MycobacteriumÂ Tuberculosis inside sputum. Conventional detection of Mycobacterium Tuberculosis inside sputum can need a lot of time, so digitallydetection method of Mycobacterium Tuberculosis was designed as an effort to get better result of detection. This method was designedÂ by using combination between digital image processing method and Neural Network method. From testing report that was done,Â Mycobacterium can be detected with successful value reach 77.5% and training error less than 5%.
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