Communication using acoustic signals from underwater sensors to the surface is not always well received. Missing messages can occur for various reasons. Based on the oceanographic phenomenon, this can occur due to changes in the speed of sound propagation at different depths in the water, or due to underwater currents that cause signal attenuation or scattering. Judging from other natural phenomena, communication failures can be caused by noise that interferes the receiving system near the water surface. For this reason, in this study, underwater acoustic noise measurements will be carried out start a certain point in Indonesian waters. The result will determine the characteristics of noise near the water surface, which can affect underwater communication systems. The noise measured, will distinguish based on environmental conditions such as rain, wind and others that result in certain sea state conditions at sea level. The research was conducted using a surface buoy which has been installed with data recording devices from two hydrophones facing up and down. Measurements were carried out continuously for 6 days with data recording every 5 minutes interval. To determine the real time weather conditions at the research location, rainfall prediction data obtained from GSMaP (Global Satellite Mapping of Precipitation) satellite data were used. Hydrophone data analysis was carried out by applying the Fast Fourier Transform spectrum analysis method and correlated to the weather conditions at that time. The analysis is grouped into 3 parts, namely when the weather conditions are sunny, light and moderate rain.