Raining is the main component of hydrology process. The quality and quantity ofthe raining data determine the degree of precision on the planning and preservation ofwater resources. To get the accurate data, there are many things will be focused such asthe condition of raining station data, density and scattered station and the accuraterecording itself. In this research, the pattern of the net of raining recording station thatwill be used is the Kagan Net Method and the triangles of Kagan will be drawned byusing AutoCAD 2007.Timor island has two catchment area according to the river such as Benanain'scatchment area and Noelmina's catchment area which have so many raining recordingstations scattering around it. This research will focus on Noelmina river flow area(2.036,544 km2) which has six raining recording stations.Based on analytical results, the coefficient of correlation on daily raining is0,389 and monthly raining is 0,555. These values are the mean values of all rainingrecording station on Noelmina river flow area. Based on WMO (World MeteorologicalOrganisation) for tropical zone such as Indonesia, the density of the nets should be 250-1000 km2/station, so that the density of the nets now has enough the standard that is339,424 km2/station, but the amount of existing station is less than the amount of stationrequired by Kagan method and it's necessary to get more raining stations. For eacherror of minimum values 5% and 10% for daily raining are needed 39 stations with thedensity 52,219 km2/station and 11 stations with the density 185,140 km2/station.Meanwhile for each error minimum values 5% and 10% for monthly raining are needed37 stations with the density 55,042 km2/station and 10 stations with the density 203,654km2/station. The amount of stations is not the only one factor that effecting the precisionof raining forecasting, but also there would be the pattern of scattering of rainingrecording stations.