Authors:
I. Wayan Suasnawa
;
I. Wiratama
;
I. Ketut Gede Sudiartha
;
I. Gusti Ngurah Bagus Caturbawa
;
Anak Agung Ngurah Gde Sapteka
and
I. Nyoman Eddy Indrayana
Affiliation:
Department of Electrical Engineering, Politeknik Negeri Bali, Kampus Bukit Jimbaran, Badung, Indonesia
Keyword(s):
Chatbot, Information Service, Rasa Framework, Academic Purpose.
Abstract:
Academic services are the most important part in higher education. The services provided by the university will be a picture of the quality of the institution. Service is said to be of high quality if it meets the needs of its customers. The demands on higher education today are not only limited to the ability to produce good graduates measured by academic achievement alone, but the entire service program of higher education institutions, one of which is the academic services provided to students. Current technological developments can help universities in making it easier for students to get academic information. To support the need for accurate and up-to-date information related to academic information, it is possible to utilize an information technology-based system that can properly summarize data and display the information to students. In this study, chatbot development can be a solution in providing information and providing academic services. Chatbot developed using Rasa Core
is a chatbot framework or open source chat framework for handling contextual conversations, used for machine learning-based conversation management. The results of the NLU evaluation show that the chatbot can understand user questions. This is indicated by a precision value of 0.955, a recall of 0.962 and an F1-Score of 0.962. Meanwhile, the evaluation of the model has an accuracy of 0.82, a precision value of 0.85 and an F1-Score of 0.85. This is a benchmark for evaluating chatbot performance in predicting a good response for users.
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