The case of motorbike theft is one of the common problems in the community that needs to be found a solution. One of solutions to secure motorbikes from potential theft is to install smart vehicle technology (smart vehicle). This paper describes the design of IoT vehicle safety systems using Arduino Mega microcontroller, fingerprint sensor, ESP8266 and Blynk applications on smartphones. For the experiment, this study uses an automatic transmission motorbike that represents the public motorcycle model. For research methods, this study uses three stages of design. The first stage is to compile the prototype hardware of a motorcycle security system using a fingerprint sensor, and a microcontroller. The second phase, IoT that uses a notification system on ESP8266-based smartphones and Blynk applications are designed. In the third stage, the security system and notification system sent via the smartphone are combined. In the results of the first phase of the trial, five people (whose fingerprints were registered and not registered) were involved to show the system was working as we expected. This means that even if the vehicle ignition is in the "ON" position, the motorcycle engine cannot be started using an electric starter method or using a crank start system. To be able to "start" a motorcycle engine, the user's fingerprint must be verified first. In the second phase of the trial, notification via the Blynk application on the smartphone will show someone's fingerprint that started the motorcycle has been verified or not verified. Finally in the final stage of the trial, information systems in the form of notifications on smartphones can be realized to inform users who are trying to start the motorcycle engine have been verified or not verified. The results of this study are expected to become IoT applied references for motorcycle and other vehicle security systems.

The high cases of motor vehicle theft, especially motorcycles theft became a daily problem that still need to look for solution. One of the solutions for securing a motorcycle from theft is by applying intellegent security system technology. The purpose of this research was to design motorcycle security system with fingerprint sensor and determine the percentage of sytem design success. The research methods used are designing, formulating problem and studying literature. The next step are to design the system design and assemble the design. The first was a registered the fingerprint owner motorcycle in order recorded in the data system. The second was to match the fingerprint registered. The design assembly consists of power supply, arduino UNO microcontroller module, fingerprint module, LED and relay module which would be connected with the electrical system motorcycle. Next step was to install the prototype on the motorcycle that connected the relay module with the wire between switch of side buffer and the machine of motorcycle. The result of the triasl system with Thirteen the user motorcycle his fingerprints was not registered indicates system 100% success. This means even though the key contact in the ON position the motorcycle could not be turned on by front starter or side starter(engkol). The only the fingerprint registered that could be turned on the machine of motorcycle.

In Industrial Era 4.0, one of the solutions to secure a house from potential fires is to design a smart home. The smart home design described in this paper is the design of a home monitoring system for potential fires. Home fire early detection monitoring system is designed based on the IoT concept and is equipped with a data logger. Data loggers function as data logging and data recorders from time to time. The hardware system design consists of Arduino Mega2560, ESP8266, fire sensor, gas sensor and datalogger module as data storage. The software design that also functions as a system monitoring display is the Blynk application on Android smartphones. Fire sensor and gas sensor activities were recorded on the data logger module. The system test was carried out around the gas stove in the kitchen room. The system design results were displayed via the Blynk application on a smartphone. Fire detection system is a change in the Virtual Button from the initial color to red. While the monitoring display of the gas detection system is in the form of moving the Virtual Level when a gas leak is detected. Fire sensor activity recording data from the datalogger is displayed in the form of a graph of the relationship of the working voltage of the fire sensor versus time. While the data recording of gas sensor activity from the datalogger is displayed in the form of a graph of the relationship of gas concentration versus time. All system response results and graphic data are displayed in realtime through the Blynk application on a smartphone. In addition, system performance data records are stored on a micro SD card for further analysis. From the results of the design of this system is expected to be a reference of home monitoring technology from potential fire equipped with a data storage system.