PREDICTION, MONITORING, AND EARLY WARNING SYSTEM OF WATER LEVELS IN FLOOD PROGRAM AREAS IN BANJARMASIN USING IoT AND LINEAR REGRESSION

Banjarmasin is a city of thousand rivers, floods often occur due to high tides and accompanied by rain. An early warning system needed for monitoring predicting river tides, especially in rivers that are prone disasters. This study aims develop an water levels using IoT linear regression analysis. The research method through the manufacture NodeMCU V3 device , Microcontroller, Ultrasonic A02YYUW. Monitoring collect level data at tide carried out on banks river, then predictions made simple results showed can be read A02YYUW ultrasonic sensor database which sent Mysql database. Water surface distance with tools used predict warning, analysis shows significant t test equation = 29.472 - 0.061 X + e. means approaches tool, namely sensor. conclusion this IoT-based combined monitor rise.