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Identifikasi Chatbot dalam Meningkatkan Pelayanan Online Menggunakan Metode Natural Language Processing

Muliyono Universitas Muhammadiyah Sumatera Barat DOI: https://doi.org/10.37034/infeb.v3i4.102 Keywords: chatbot, Service, Akademic, Natural Language Processing, Artificial Intelligence Abstract Chatbot is a software with artificial intelligence that can imitate human conversations through text messages or voice messages. This chatbot can convey information, according to the knowledge that has been given previously. Helping the limitations of the academic section in answering questions posed by students. The method in this study was sourced from a questionnaire distributed to students at the Muhammadiyah University of West Sumatra. Based on the analysis of the questionnaire, there are 40 questions that are often asked by students to the academic section. Then it is processed using Natural Language Processing (NLP). Natural Language Processing is a branch of science from artificial intelligence that is able to study communication between humans and computers through natural language. The processing stage is to identify the intent, process the input and display the results according to the input. The results of the test using a questionnaire addressed to 227 students got a score of 3,55 with a very good predicate. Then do the test using 40 question and answer data. So, obtained 37 appropriate answers and 3 answers that are not in accordance with the percentage of answer accuracy generated from the chatbot is 92.5 percent. The results of this test have been able to respond to the questions asked by students. This chatbot can make it easier for students to get information with a very good level of accuracy Downloads Download data is not yet available. References Kristiyan, Y., & Bachtiar, D. I. (2020). Analisis Kualitas Pelayanan pada Bagian Akademik Politeknik Sawunggalih Aji Purworejo. AKSES: Jurnal Ekonomi Dan Bisnis, 14(2). doi: https://doi.org/10.31942/akses.v14i2.3268 Mashud, M., & Wisda, W. (2019). 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Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports. PLOS ONE, 15(6), e0234908. doi: https://doi.org/10.1371/journal.pone.0234908	DOWNLOAD Published 2021-09-03 Issue Vol. 3, No. 4 (December 2021) Section Articles How to Cite Muliyono. (2021). Identifikasi Chatbot dalam Meningkatkan Pelayanan Online Menggunakan Metode Natural Language Processing. Jurnal Informatika Ekonomi Bisnis, 3(4), 142-147. https://doi.org/10.37034/infeb.v3i4.102 ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Copyright (c) 2021 This work is licensed under a Creative Commons Attribution 4.0 International License.

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