Document Generation untuk Chatbot Berbasis Aturan dengan Pendekatan Template Method

Fauzan Ishlakhuddin; Yaqutina Marjani Santosa; Nur Budi Nugraha

doi:10.30591/jpit.v7i3.5098

Document Generation untuk Chatbot Berbasis Aturan dengan Pendekatan Template Method

Fauzan Ishlakhuddin, Yaqutina Marjani Santosa, Nur Budi Nugraha

Abstract

The world of education has an important role in the development of a country, innovations and initiatives that support educational activities are needed to support these activities. One of the innovations in the world of education is the convenience of students to access the results (development) of their lectures from anywhere. Chatbot has convenience in terms of service, because using a chatbot can make it easier to spread data. Provision of accurate and relevant data in real time is also needed so that the deployment will be faster and easier. Document generation is a method that can be used to create lecture-related files in real time, quickly and accurately. From the test results it was found that the files created were accurate and relevant to the SIAKAD system that had been used.The world of education has an important role in the development of a country, innovations and initiatives that support educational activities are needed to support these activities. One of the innovations in the world of education is the convenience of students to access the results (development) of their lectures from anywhere. Chatbot has convenience in terms of service, because using a chatbot can make it easier to spread data. Provision of accurate and relevant data in real time is also needed so that the deployment will be faster and easier. Document generation is a method that can be used to create lecture-related files in real time, quickly and accurately. From the test results it was found that the files created were accurate and relevant to the SIAKAD system that had been used.

Keywords

Document Generation, template method, file generator, chatbot, sistem informasi akademik

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DOI: https://doi.org/10.30591/jpit.v7i3.5098