Teknologi Smart Brankas Menggunakan Metode Support Vector Machine (SVM)
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Institusion

Institut Teknologi Perusahaan Listrik Negara

Author

Khalisa, Shavira
Haris, Abdul
Prayitno, Budi

Subject

Teknik Informatika 

Datestamp

2022-09-26 07:22:35 

Abstract :
The rapid technological advances allow every use of technology in everyday life to become easier. One use of technology is in safe security systems. In this study, the safe security system used with facial image recognition uses the Support Vector Machine method. The face image will be read and processed by the raspberry pi which is then matched with the training data. To move the safe door, a doorlock solenoid is used. If the face image input does not match the training data that has been stored in the program, a failed face scan will appear and the face is not recognized. Conversely, if the input face image matches the training data that has been stored in the program, the user will open the door, and the safe door will open. From the results of testing the safe security system using the Support Vector Machine method, the results obtained were 85.7% accuracy. 

File :
201631137_Shavira Khalisa_Revisi_Skripsi_SHAVIRA KHALISA 1.pdf