Peran AI Chatbots dalam Layanan Mahasiswa Ilmu Komunikasi Menggunakan Metode Natural Languange Processing (NLP) di Universitas Muhammadiyah Karanganyar

Erwin Apriliyanto, Romi Iriandi Putra, Yayu Sri Rahayu

Abstract


Three technical steps of data collection were used in testing that involved over 100 students: observations, questionnaires, and interviews. After processing, all of the data is collected into a dataset that is kept in the chatbot application database. Obtaining up-to-date information about class schedules, communication science resources, and other academic matters is crucial for students. Therefore, this project intends to provide an accurate and up-to-date source of information by using AI chatbots with the NLP approach, making it easier for students to acquire the material they need. In the exam scenario, each student is required to respond to a minimum of five questions that follow the topics covered in Communication Science curriculum. These questions are processed using the application provided to produce predictions of possible relevant answers. The results of the answers from the chatbot are used to create a comparison matrix between the percentage of chatbot usage and the verification team. The verification team approves all output from the chatbot. Based on the comparison, it can be inferred that the verification team's output percentage was 100%, but the chatbot's production percentage was 95%.

Keywords


Chatbot, NLP, AI

Full Text:

PDF

References


Anjum, K., Sameer, M., & Kumar, S. (2023). AI Enabled NLP based Text to Text Medical Chatbot. 2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM), 1–5. https://doi.org/10.1109/ICIPTM57143.2023.10117966

Apriliyanto, E., Kusrini, K., & Arief, R. (2020). Identification Of Diseases In Rice Plant Using Chatbot With Methode Artificial Intelligence Markup Language and Normalization. RESEARCH : Journal of Computer, Information System & Technology Management, 3(2), 67. https://doi.org/10.25273/research.v3i2.7060

Damij, N., & Bhattacharya, S. (2022). The Role of AI Chatbots in Mental Health Related Public Services in a (Post)Pandemic World: A Review and Future Research Agenda. 2022 IEEE Technology and Engineering Management Conference (TEMSCON EUROPE), 152–159. https://doi.org/10.1109/TEMSCONEUROPE54743.2022.9801962

J, P. G., & H R, P. K. (2022). Natural language processing using text augmentation for chatbot. 2022 International Conference on Artificial Intelligence and Data Engineering (AIDE), 248–251. https://doi.org/10.1109/AIDE57180.2022.10060406

Kesarwani, S., Titiksha, & Juneja, S. (2023). Student Chatbot System: A Review on Educational Chatbot. 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), 1578–1583. https://doi.org/10.1109/ICOEI56765.2023.10125876

Khoirunisa, R., Apriliyanto, E., Sandi, A. S., & Kusrini, K. (2020). Penggunaan Natural Language Processing Pada Chatbot Untuk Media Informasi Pertanian. Indonesian Journal of Applied Informatics, 4(2), 55. https://doi.org/10.20961/ijai.v4i2.38688

Krishnam, N. P., Bora, A., Swathi, R. S. V. R., Gehlot, A., Talwar, S., & Raghu, T. (2023). AI-Based advanced Talk-chatbot for Implementation. 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 1808–1814. https://doi.org/10.1109/ICACITE57410.2023.10182611

Le-Tien, T., Nguyen-D-P, T., & Huynh-Y, V. (2022). Developing a Chatbot system using Deep Learning based for Universities consultancy. 2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM), 1–7. https://doi.org/10.1109/IMCOM53663.2022.9721735

Rawat, B., Bist, A. S., Rahardja, U., Aini, Q., & Ayu Sanjaya, Y. P. (2022). Recent Deep Learning Based NLP Techniques for Chatbot Development: An Exhaustive Survey. 2022 10th International Conference on Cyber and IT Service Management (CITSM), 1–4. https://doi.org/10.1109/CITSM56380.2022.9935858

Shah, M., & Panchal, M. (2022). Privacy Protected Modified Double Ratchet Algorithm for Secure Chatbot Application. 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), 747–754. https://doi.org/10.1109/ICOSEC54921.2022.9952106

Singh, A., Murugeswari, P., Ragavendiran, S. D. P., Kaur, A., Singh, G., & Margabandu, S. (2022). AI-based Chatbot for Physically Challenged People. 2022 International Conference on Edge Computing and Applications (ICECAA), 1039–1044. https://doi.org/10.1109/ICECAA55415.2022.9936585

Singh, S., Kaur, M., Tanwar, P., & Sharma, S. (2022). Design and Development of Conversational Chatbot for Covid-19 using NLP: an AI application. 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), 1654–1658. https://doi.org/10.1109/ICCMC53470.2022.9753893

Sinha, G., Chapagain, R., Budhathoki, A., Sarkar, K., Mandal, A. K., & Manorishik, O. (2023). Infrastructure as a Code Chatbot using Natural Language Processing. 2023 International Conference on Inventive Computation Technologies (ICICT), 567–571. https://doi.org/10.1109/ICICT57646.2023.10134369

Wahal, A., Aggarwal, M., & Poongodi, T. (2022). IoT based Chatbots using NLP and SVM Algorithms. 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM), 484–489. https://doi.org/10.1109/ICIEM54221.2022.9853095

Yimyam, W., & Ketcham, M. (2022). Occupational Disease Risk Assessment System Using Artificial Intelligence System and Chatbot. 2022 International Conference on Cybernetics and Innovations (ICCI), 1–5. https://doi.org/10.1109/ICCI54995.2022.9744143




DOI: http://dx.doi.org/10.30646/sinus.v22i1.805

Refbacks

  • There are currently no refbacks.


 


STMIK Sinar Nusantara

KH Samanhudi 84 - 86 Street, Laweyan Surakarta, Central Java, Indonesia
Postal Code: 57142, Phone & Fax: +62 271 716 500 

Email: ejurnal @ sinus.ac.id | https://p3m.sinus.ac.id/jurnal/e-jurnal_SINUS/

ISSN: 1693-1173 (print) | 2548-4028 (online)


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

View My Stats