IoT-Based Portable Fingerprint Attendance System Using the Minutiae Based Algorithm

Attendance really needs to be done in order to know the attendance and time of arrival and return of someone from employees or workers to the education system. Attendance, which at first was only done manually, like signatures on paper, has now become more advanced, which is done using an electronic device using a fingerprint presence system. by using the concept of the internet of things which facilitates the online presence system through a network such as wi-fi, as well as portable or can also be carried everywhere. This portable IoT fingerprint presence system (PoFAS-Class) uses the Algortima Minutiae Based method where the algorithm detects lines or strokes on each human fingerprint. The components to help the success of the tool are the Nodemcu ESP8266 as a Microcontroller, Fingerprint Sensor, TFT OLED Screen, Battery Charger Module, and Web Information to register fingerprints and to inform users. Tool testing is done using a sample of 240 users who are registered into the presence information system, and the average processing time used to register a user's fingerprint on the sensor is < 5 seconds.