All machines that are used for cutting operations vibrate to some degree. In this study, the vibrations generated in a surface grinding machine, which cause chatter, were investigated. Chatter leaves marks on the surface of the workpiece, and when the grinding wheel returns to these chatter marks, the chatter is often amplified in a vicious cycle and the marks become deeper. Cutting chatter can cause serious machine instability and in addition to poor product quality can result in excessive wear to the grinding wheels and even damage to the grinding machine itself. Since chatter is caused by vibration, a reduction in vibration frequency will improve cutting efficiency, lengthen the life of grinding wheels, reduce wear to the machine, improve the quality of products, and reduce cost. In this study, LabVIEW was used to extract vibration signal data, which were assembled as an MS Excel file. The Taguchi method was used for analysis to determine the main factors affecting vibration. The correctness of the optimum factors derived was verified by experiment. The factors allowed the parameters of the machine to be set to minimize vibration and chatter, improve the quality of the product, and also reduce cost.