| dc.description.abstract | The development of technology brings us into a very fast acceleration of science,
so that the old technology that is still used such as Payment Instrument Using Card already
has more and more loopholes. Thus, reported violations of the use of card are also
increasing. On the other hand, the rapid development of technology in the era of the
Industrial Revolution 4.0, has had many positive impacts on humanity so that it has been
widely used in various fields. One of the most famous examples is Artificial Intelligence
(Al) which is utilised for the development of science and technology. As in China, many
have used face recognition as a medium for identity recognition, such as login, registration,
attendance and others. In Indonesia itself, PT. KAI (Kereta Api Indonesia) has used face
recognition technology in the boarding process. In this study, the author designs a payment
system with face recognition as identity recognition using the Convolutional Neural
Network (CNN) algorithm. This algorithm itself has been widely used as a learning
algorithm with a high level of accuracy, but a lot of learning data is required. Face image
data used in model training is 6000 images in total divided into 10 classes or labels. For
testing, 15% of the dataset is selected, namely 900 randomly selected testing data. The
model used uses 7 layers of convolution and 3 layers of neural network and activated using
softmax function. This design also produces a product purchase web-based application
designed using the PHP programming language, with the help of MySQL DBMS.
Furthermore, the display is decorated using templates from the Bootstrap 4.6 framework.
The results of this design produced a model with an average accuracy of 99% and an
average precision of 97%. There is nothing that indicates that the resulting model is
overfitting because the accuracy curve and training loss are good. | en_US |
