Chatbot-Based Student Information Service in Indonesian Language

I. Wayan Suasnawa, I. Wiratama, I. Ketut Gede Sudiartha, I. Gusti Ngurah Bagus Caturbawa, Anak Agung Ngurah Gde Sapteka, I. Nyoman Eddy Indrayana

2022

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.

Paper Citation

in Harvard Style

Wayan Suasnawa I., Wiratama I., Ketut Gede Sudiartha I., Gusti Ngurah Bagus Caturbawa I., Agung Ngurah Gde Sapteka A. and Nyoman Eddy Indrayana I. (2022). Chatbot-Based Student Information Service in Indonesian Language. In Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES; ISBN 978-989-758-619-4, SciTePress, pages 223-227. DOI: 10.5220/0011753800003575

in Bibtex Style

@conference{icast-es22,
author={I. Wayan Suasnawa and I. Wiratama and I. Ketut Gede Sudiartha and I. Gusti Ngurah Bagus Caturbawa and Anak Agung Ngurah Gde Sapteka and I. Nyoman Eddy Indrayana},
title={Chatbot-Based Student Information Service in Indonesian Language},
booktitle={Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES},
year={2022},
pages={223-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011753800003575},
isbn={978-989-758-619-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES
TI - Chatbot-Based Student Information Service in Indonesian Language
SN - 978-989-758-619-4
AU - Wayan Suasnawa I.
AU - Wiratama I.
AU - Ketut Gede Sudiartha I.
AU - Gusti Ngurah Bagus Caturbawa I.
AU - Agung Ngurah Gde Sapteka A.
AU - Nyoman Eddy Indrayana I.
PY - 2022
SP - 223
EP - 227
DO - 10.5220/0011753800003575
PB - SciTePress