This research aims to design IoT effective and efficient tools for precision agriculture using NodemCu Board for measuring Temperature and Rh (Relative Humidity). The sensor for measuring Temperature and Rh uses DHT 11, a type of sensor DHT 11 using NTC (Negative Temperature Coefficient) as resistance based to measure temperature and Relative Humidity. The data from the sensor is sent to the Thingspeak website and compared with data from standard sensors. as a calibration process. The Rh data from DHT 11 used for time series forecasting for Rh with ANN models namely Feedforwardnet, Fitnet, Patternnet, and Cascade Forwardnet, the architecture of ANN using 468, 579, and 723. The Best result from ANN is best model Cascade Forwardnet with architecture 723 times 1.165, MSE train 1.4249 x 10 -21 , MSE test 8.5620 x 10 -22 with regression 1.