Radar (RAdio Detection and Ranging) is a system for detecting and tracking a moving or stationary target using electromagnetic waves. The reflected signal received back by the radar consists of the echo from the desired target and the interference. One form of interference signal that is received back by the radar is jamming. If the interference signal is large enough, it can complicate the process of detecting the desired target. The interference signal can be removed by using a digital filter. This study aims to analyze the effectiveness of a Finite Impulse Response (FIR) digital filter designed using the Optimal Equiripple technique and the Parks–McClellan algorithm for suppressing jamming signals in radar signal processing. The proposed approach was evaluated under different passband frequencies, stopband frequencies, transition bandwidths, filter orders, and signal-to-interference (S/I) ratios to investigate their effects on filtering performance. From the results of the FIR digital filter test using the Equiripple Optimal design technique and the Parks-McClellan Algorithm to eliminate jamming, it was found that the smaller the transition band, the higher the filter order (N), and the maximum S/I value is obtained when the target signal is also lost due to the filter, while the interference signal (jamming) after filtering remains minimal.