This research present asymmetry, border irregularity, color variation, diameter (ABCD) featur extraction of image dermatoscopic for melanoma skin cancer diagnosis ABDC feature is the important information based on morphology analysis of image dermatoscopic lesion. ABCD feature is used to calculate Total dermatoscopic value (TDV) for melanoma skin cancer diagnosis. Asymmetry feature consist information of asynmetry and lengthening index of the lesion, Border irregularity feature consist information of compactness index. Fractal dimension, Edge abruptness, and pigmentation transition from the lesion. Color homogeneity feature consist information of color homogeneity and the correlation between photometry and geometry of the lesion. Diameter extraction is diameter of the lesion. There are there diagnosis that is used on this research i.e. melanoma, suspicious, and benign skin lesion. The experiment uses 30 samples of image dermatoscopic lesion that is suspicious melanoma skin cancer. Based on the experiment, the accuracy of the system is 85% that there are 4 false diagnoses of 30 samples of image dermatoscopic lesion that is suspicious melanoma skin cancer. Based on the experiment. The accuracy of the system is 85% that there are 4 false diagnoses of 30 samples.