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Analysis of Distributed Deep-Learning Based Digital Learning Media Using Thin Client Devices For Inclusion Vocational School Students
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The purpose of this research is to demonstrate how digital learning media based on Distributed Deep Learning using Thin Client devices for students with special needs. The method was the exploration of reputable sources with the advantages and contributions of digital learning media. Digital Learning Media developed to
help students with special needs in inclusive learning and teaching methods that are specifically supported electronically. Thin Client Network is an integrated processor integrated in the software using the method of organization of personal computer resources in the network. So, the personal computer owned by the
user/client only requires an interface module and I/O devices monitor, keyboard, mouse, and other peripheral devices connected to the server. The results obtained can be implemented for students with special needs as an effective learning medium with the ability for centralized system data communication where most
of the computing process is carried out in the device. Computing capabilities simply use the local network via Wi-Fi and Bluetooth communication and allow it to be used offline. This digital learning model will later facilitate learning for student with speech impaired and deaf so they can make mobility features and it
is accessible, so students can take advantage of their knowledge and improve their skills.
Andriana - Personal Name
Ana - Personal Name
Heni Puspita - Personal Name
Ike Yuni Wulandari - Personal Name
Ana - Personal Name
Heni Puspita - Personal Name
Ike Yuni Wulandari - Personal Name
Vol. 16, No. 1 (2021) 085 - 091
600
Text
English
Journal of Engineering Science and Technology
2021
Taylor\'s University
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APA Citation
Andriana. (2021).Analysis of Distributed Deep-Learning Based Digital Learning Media Using Thin Client Devices For Inclusion Vocational School Students.(Electronic Thesis or Dissertation). Retrieved from https://localhost/etd