<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Implementasi Metode Teachable Machine Untuk Pengidentifikasian Ekspresi Wajah Secara Real-Time"^^ . "This study implements a direct facial expression detection system via the web using teachable machine and tensorflow.js. This system utilizes machine learning technology that operates directly in the browser without the need for a special server. With the transfer learning method, the model is trained to recognize various facial expressions such as happy, sad, angry, and neutral. This implementation uses a convolutional neural network (cnn) architecture that has been optimized for web activities. The results of the test show a detection accuracy level of 85-90% with a response time of under 200ms. This solution provides a lightweight option for emotion recognition applications that can be easily accessed via a web browser. The main advantages of this system are ease of implementation, cross-platform support, and maintaining data privacy because the process is carried out locally."^^ . "2025-07-12" . . "6" . "4" . . "Journal of Information System Research (JOSH)"^^ . . . "2686228X" . . . . . . . "1"^^ . "1"^^ . "1 1"^^ . . . . . . "Implementasi Metode Teachable Machine Untuk Pengidentifikasian Ekspresi Wajah Secara Real-Time (Text)"^^ . . . "artikel4 Josh (Implementasi Metode Teachable Machine...)-Faldy.pdf"^^ . . "HTML Summary of #48551 \n\nImplementasi Metode Teachable Machine Untuk Pengidentifikasian Ekspresi Wajah Secara Real-Time\n\n" . "text/html" . . . "T Technology (General)"@en . .