This study considers a balanced truncation model order reduction method of large-scale second-order systems via Laguerre functions. The proposed method uses the matrix exponential functions in the space spanned by Laguerre functions to compute the low-rank decomposition. The corresponding balanced system is constructed by the singular values structure of the second-order system.  Then, the reduced second-order model is obtained by truncating the states corresponding to the small singular values. Finally, the validity of the proposed method is shown by a given numerical example.