RANCANG BANGUN AKSES MASUK DAN PRESENSI OTOMATIS PERPUSTAKAAN ITD ADISUTJIPTO MENGGUNAKAN NODEMCU ESP8266 BERBASIS INTERNET OF THINGS MENGGUNAKAN MODUL RFID

Yuda Arabia, Julian (2023) RANCANG BANGUN AKSES MASUK DAN PRESENSI OTOMATIS PERPUSTAKAAN ITD ADISUTJIPTO MENGGUNAKAN NODEMCU ESP8266 BERBASIS INTERNET OF THINGS MENGGUNAKAN MODUL RFID. Thesis thesis, Institut Teknologi Dirgantara Adisutjipto.

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Abstract

At this time there are still many campuses that have not taken advantage of technological developments for automatic access and attendance of libraries, one of which is the ITD Adisutjipto campus. So far the ITD Adisutjipto library uses a manual system so it is less effective in terms of time efficiency. Besides that, the use of the ITD Adisutjipto student card is only as identification. Utilization of student cards for access to the library is very effective and efficient in terms of time. In the world of education, this kind of thing must begin to be implemented considering the increasingly sophisticated technological developments and the complexity of activities on campus, especially the ITD Adisutjipto campus. One of the concerns is access to the ITD Adisutjipto library, which until now is still manual. In this research, a attendance prototype was created for access and automatic attendance at the ITD Adisutjipto library which functions to increase security, convenience and time effectiveness for access to the library by utilizing KTM and wifi as data senders. The design of automatic library access and attendance uses the NodeMCU ESP8266 module as receiving, processing, and sending data using wifi to Google spreadsheets, the RFID module as access used by students for library entry attendance, LCD as a display of library entry attendance information, LED and Buzzer as library entry attendance indicator, and google spreadsheet is used to store library entry attendance information. Information from KTM that is sent and stored on google spreadsheets is information on time, date, ID, name, and NIM. The test was carried out by attaching the RFID card to the RFID reader to obtain test results with a maximum detectable distance of 4.2 cm with an average response time of 0.162 seconds, and sending a signal to the NodeMCU ESP8266 module which the program has uploaded. The NodeMCU ESP8266 module will receive and process signals if KTM has been registered. Then NodeMCU ESP8266 will send student attendance information to Google Spreadsheet with an average response time of 4.74 seconds.

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