Abstract: Homelab is a discussion platform on course materials and assignments for students and is packed in an Android application product and website. The Homelab website is built using Laravel. For Android-based Homelab application development, a special Application Programming Interface (API) with JWT security is made in this research. In Homelab, besides the question and answer feature, a virtual conversation agent (chatbot) based on deep learning with a retrieval model that uses multilayer perceptron and a special text dataset for conversations about Homelab products is also created. The virtual conversation agent at Homelab is made by utilizing the Sastrawi library and natural language processing to facilitate the processing of user messages in Indonesian. The output of this research is the response from the chatbot and the probability value from the classification results of the available response classes. The system made has an accuracy rate of 96.43 percent with an average processing time of 0.3 seconds to get a response.

Aji Naufal Aqil, Burhanuddin Dirgantara, Istikmal, Umar Ali Ahmad, Reza Rendian Septiawan and Alex Lukmanto Suherman, “Robot Chat System (Chatbot) to Help Users “Homelab” based in Deep Learning” International Journal of Advanced Computer Science and Applications(IJACSA), 12(8), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120870

@article{Aqil2021,
title = {Robot Chat System (Chatbot) to Help Users “Homelab” based in Deep Learning},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120870},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120870},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {8},
author = {Aji Naufal Aqil and Burhanuddin Dirgantara and Istikmal and Umar Ali Ahmad and Reza Rendian Septiawan and Alex Lukmanto Suherman}
}