Research Article
Development of The Real-Time Thesis Guidance Model Using GitHub And Telegram Bot in The French Department of FBS Unimed
@INPROCEEDINGS{10.4108/eai.24-10-2023.2342284, author={Zulherman Zulherman and Dedy Kiswanto and Rabiah Adawi}, title={Development of The Real-Time Thesis Guidance Model Using GitHub And Telegram Bot in The French Department of FBS Unimed}, proceedings={Proceedings of the 5th International Conference on Innovation in Education, Science, and Culture, ICIESC 2023, 24 October 2023, Medan, Indonesia}, publisher={EAI}, proceedings_a={ICIESC}, year={2024}, month={1}, keywords={accelerated thesis guidance collaboration model github telegram bot}, doi={10.4108/eai.24-10-2023.2342284} }- Zulherman Zulherman
Dedy Kiswanto
Rabiah Adawi
Year: 2024
Development of The Real-Time Thesis Guidance Model Using GitHub And Telegram Bot in The French Department of FBS Unimed
ICIESC
EAI
DOI: 10.4108/eai.24-10-2023.2342284
Abstract
This research aims to speed up the thesis supervision process of French Department students of FBS Unimed through the application of the Github Collaboration model and Telegram Bot in real time. The research method uses the ADDIE development research method, namely Analysis, Design, Development, Implementation and Evaluation. Using the ADDIE method, a real-time thesis guidance system flow model was obtained using Github and Telegram Bot and with the actors involved. From these results, the system was then implemented after 10 trials were carried out. This system was recorded an average time of 0.37 ms in terms of response between the student's work on the thesis file and the notification via the Telegram bot received by the supervisor.