PDAM is a regional-owned company engaged in the distribution of clean water. Currently, almost all PDAMs still use manual water meter system. Officers came directly to customers' homes to record the numbers on the water meter. But in this way there are often problems such as: the speed of the flow of water discharge that can not be known by the customer or the officer, the mistake of recording, the error of input process by the officer, and the difficulty of identification of the water meter condition. By using Waterflow sensors that have a function to detect water discharge, Arduino is technically able to function as an open-source single-board micro controller, designed to facilitate the use of electronics in various fields. Using the concept of IoT (Internet of Things) and also supported with android application which is one of the development of technology that can be utilized as user interface. This research produces a watermeter that can transmit data using IoT concepts for the process of recording or sending data to the server. The system generated from the research that has been done can be said to be stable by looking at the precision value of 100%, the recall value of 75% and the accuracy of 75%.

PDAM is a regional-owned company engaged in the distribution of clean water. Currently, almost all PDAMs still use manual water meter system. Officers came directly to customers' homes to record the numbers on the water meter. But in this way there are often problems such as: the speed of the flow of water discharge that can not be known by the customer or the officer, the mistake of recording, the error of input process by the officer, and the difficulty of identification of the water meter condition. By using Waterflow sensors that have a function to detect water discharge, Arduino is technically able to function as an open-source single-board micro controller, designed to facilitate the use of electronics in various fields. Using the concept of IoT (Internet of Things) and also supported with android application which is one of the development of technology that can be utilized as user interface. This research produces a watermeter that can transmit data using IoT concepts for the process of recording or sending data to the server. The system generated from the research that has been done can be said to be stable by looking at the precision value of 100%, the recall value of 75% and the accuracy of 75%.

The main obstacles of the tempe producers in fermentation process are the uncertain temperature and weather factors, if in the cold temperatures of tempe producers tend to still use manual way to keep the temperature in tempe, that is by covering the surface using cloth, newspaper or other cover because for the fermentation process in tempe temperature required ranges between 30-35o C and humidity below 70%. With unstable temperature can certainly affect the duration of tempe fermentation process. For that required a tool that can stabilize the temperature of the room on tempe fermentation process. Automatic temperature control for the manufacture of tempe is using fuzzy logic method as a smart control system, Arduino Mega 2560 as a microcontroller, DHT11 sensor as the detector temperature and humidity of the room, YL-69 & YL-38 sensors to detect the tempe water content that has become tempe parameter already mature or not, and heater and fan as actuators to stabilize the room temperature. Automatic temperature regulator for tempe making with fuzzy logic method is able to stabilize room temperature in fermentation process tempe and success rate of this tool in category good enough because get value from precision equal to 65%, recall 100%, and accuracy equal to 65%

The main obstacles of the tempe producers in fermentation process are the uncertain temperature and weather factors, if in the cold temperatures of tempe producers tend to still use manual way to keep the temperature in tempe, that is by covering the surface using cloth, newspaper or other cover because for the fermentation process in tempe temperature required ranges between 30-35o C and humidity below 70%. With unstable temperature can certainly affect the duration of tempe fermentation process. For that required a tool that can stabilize the temperature of the room on tempe fermentation process. Automatic temperature control for the manufacture of tempe is using fuzzy logic method as a smart control system, Arduino Mega 2560 as a microcontroller, DHT11 sensor as the detector temperature and humidity of the room, YL-69 & YL-38 sensors to detect the tempe water content that has become tempe parameter already mature or not, and heater and fan as actuators to stabilize the room temperature. Automatic temperature regulator for tempe making with fuzzy logic method is able to stabilize room temperature in fermentation process tempe and success rate of this tool in category good enough because get value from precision equal to 65%, recall 100%, and accuracy equal to 65%

Lack of knowledge by road users regarding these priorities, especially when there is a passing ambulance that is often stuck in traffic at a crossroads due to accumulated vehicles and the traffic light is still red. The purpose of this paper is to simulate traffic light automation by giving a green light every time an ambulance passes by using the HAAR and Computer Vision methods. The HAAR method is used for training data from less sharp images as part of the Ambulance object classification process. The Computer Vision method is used as a tool in image processing objects to processing the image captured by the Camera. Hardware through the microphone performs pattern recognition to pick up ambulance sirens. The test result at the average frequency caught by the microphone is 1.3 kHz. The test results of the System to capture ambulance objects received a precision value of 75%, a recall of 100%, and an accuracy of 75%.