As the result of the low accuracy in detecting deception, we perform an additional experiment. In this case, we also try to use features from the  Figure 3: Comparison accuracy and F-measure between using development **data** and test **data** acoustic/prosody that can be extracted from the recorded sound **data** of IDC. In accordance with previous research related to detecting deception using speech analysis (Enos, 2009;Graciarena et al., 2006;Hirschberg et al., 2005), we use features from silence, energy, and pitch category then apply some normalization techniques to the extracted features.