Chatbot Widget as Online Virtual Assistant for Dormitory Room Information and Reservation Service at Klabat University

Authors

  • Elshadai Gracia Carolina Rampengan Rampengan Universitas Klabat
  • Semmy Wellem Taju Universitas Klabat
  • Venisa Tewu Universitas Klabat

DOI:

https://doi.org/10.31154/cogito.v9i1.469.181-192

Keywords:

Klabat University, Chatbot, Natural Language Processing, Machine Learning, Artificial Intelligence

Abstract

Klabat University provides residential facilities for students, better known as a dormitory. Information services regarding dormitories and reservation rooms at Klabat University are still managed manually between the dormitory and students. Some problems occur when students want to find information and/or reserve a room at the same time. From the problems that have been observed, researchers have designed a Chatbot to facilitate the students to find for information as well as reserve dormitory rooms. The development method used in this research is the prototyping model. To design a chatbot by implementing two-way communication, researchers implemented Natural Language Processing technique with a Machine Learning approach. The result of this research is a new Chatbot widget as a virtual assistant for information services and reservation rooms in the dormitory at Klabat University

References

D. J. C. Sihombing and A. Wirapraja, “Trends in the Application of Artificial Intelligence in the Fields of Accounting, Renewable Energy and Process Manufacturing Industries,” Jurnal EKSEKUTIF, vol. 15, no. 2, pp. 302–315, 2018.

S. Nahavandi, “Industry 5.0-a human-centric solution,” Sustainability (Switzerland), vol. 11, no. 16, 2019, doi: 10.3390/su11164371.

T. Lalwani, S. Bhalotia, A. Pal, S. Bisen, and V. Rathod, “Implementation of a Chat Bot System using AI and NLP,” International Journal of Innovative Research in Computer Science & Technology, vol. 6, no. 3, pp. 26–30, 2018, doi: 10.21276/ijircst.2018.6.3.2.

T. Lopez and M. Qamber, “The Benefits and Drawbacks of Implementing Chatbots in Higher Education,” no. March, 2022.

S. Fer, “Verbal Communiton as a Two-Way Process in Connecting People,” pp. 1–7, 2018, doi: https://ssrn.com/abstract=3128115.

E. Malinowski et al., “Natural Language Processing,” Data Vault 2.0, pp. 1–15, 2019, doi: 10.1007/978-3-322-94873-1.

P. Chowdhary, Fundamentals of Artificial Intelligence. 2020.

Migunani and Kevin Aditama, “Utilization of Natural Language Processing and Pattern Matching in Learning Through Virtual Teachers,” Elkom : Jurnal Elektronika dan Komputer, vol. 13, no. 1, pp. 121–133, 2020, doi: 10.51903/elkom.v13i1.187.

D. Khurana, A. Koli, K. Khatter, and S. Singh, “Natural language processing: state of the art, current trends and challenges,” Multimedia Tools and Applications, vol. 82, no. 3, pp. 3713–3744, 2023, doi: 10.1007/s11042-022-13428-4.

V. R. Prasetyo, N. Benarkah, and V. J. Chrisintha, “Implementasi Natural Language Processing Dalam Pembuatan Chatbot Pada Program Information Technology Universitas Surabaya,” Teknika, vol. 10, no. 2, pp. 114–121, 2021, doi: 10.34148/teknika.v10i2.370.

R. K. Dinata and N. Hasdyna, “Machine Learning.” 2020.

T. Tuomi and I. Ilkka, The Impact of Artificial Intelligence on Learning, Teaching, and Education Policies. 2018.

J. Hurwitz and D. Kirsch, Machine Learning For Dummies, Limited. John Wiley & Sons, Inc, 2018.

W. Yulita, M. C. Untoro, M. Praseptiawan, and I. F. Ashari, “Automatic Scoring Using Term Frequency Inverse Document Frequency Document Frequency and Cosine Similarity,” vol. 10, no. 2, pp. 93–104, 2023, doi: 10.15294/sji.v10i2.42209.

E. Sohn, “Chatbot and Slide Widget-based Classroom Response System to Promote Classroom Participation,” Journal of Korea Multimedia, vol. 22, no. 8, pp. 940–949, 2019, doi: https://doi.org/10.9717/kmms.2019.22.8.940.

D. Alita, Y. Fernando, and H. Sulistiani, “Implementation of the Svm Multiclass Algorithm in Indonesian Public Opinion on Twitter,” Jurnal Tekno Kompak, vol. 14, no. 2, p. 86, 2020, doi: 10.33365/jtk.v14i2.792.

I. A. Ropikoh, R. Abdulhakim, U. Enri, and N. Sulistiyowati, “Implementation of the Support Vector Machine Algorithm for Web Phishing Classification,” Journal of Chemical Information and Modeling (JAIC), vol. 5, no. 1, pp. 64–73, 2021.

S. Raschka and V. Mirjalili, Python Machine Learning and Deep Learning with Python, scikit-learn, and TernsorFlow2. 2019.

TIOBE Programming Community Index for May 2023. .

K. Tatroe, P. Maclntyre, and M. Stowe, “Programming PHP,” 2020.

A. Firdaus, S. Widodo, A. Sutrisman, S. G. Fadhilah Nasution, and R. Mardiana, “Design and Build a Library Information System Using WEB Service at the Police Computer Engineering Department,” Jurnal Informatika, vol. 5, no. 2, pp. 81–87, 2019.

A. Susanto and Meiryani, “System Development Method with The Prototype Method,” International Journal of Scientific and Technology Research, vol. 8, no. 7, pp. 141–144, 2019.

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Published

2023-06-30

How to Cite

Rampengan, E. G. C. R., Taju, S. W., & Tewu, V. (2023). Chatbot Widget as Online Virtual Assistant for Dormitory Room Information and Reservation Service at Klabat University. CogITo Smart Journal, 9(1), 181–192. https://doi.org/10.31154/cogito.v9i1.469.181-192