Identification Of Chatbot Usage In Online Store Services Using Natural Language Processing Methods

Anshar Daud; Dola Irwanto; Muh Said; Mutiarini Mubyl; Mustamin Mustamin

doi:10.26877/asset.v6i2.18309

Identification Of Chatbot Usage In Online Store Services Using Natural Language Processing Methods

Anshar Daud, Dola Irwanto, Muh Said, Mutiarini Mubyl, Mustamin Mustamin

Abstract

Chatbot is one of the implementations of artificial intelligence in helping human tasks. The way the chatbot itself works is to answer questions directly according to the database that has been created. Chatbot helps online store owners answer questions from the same customers so that there is efficiency in terms of employee salaries. 40 questions that are often asked by customers to the online store admin. In its use, chatbot is one of the implementations of machine learning, where the function of machine learning itself is to improve the ability of machines to learn new information from data and develop the ability of machines to solve problems. Machine learning requires instruction from training data or input to teach machines how to solve problems, answer questions, and draw conclusions from the results of data processing. Furthermore, it is processed using Natural Language Processing (NLP). Natural Language Processing (NLP) is a branch of artificial intelligence that is able to study communication between humans and computers through natural language. The processing stages are identifying the intent, processing the input and displaying the results according to the input. Followed by testing the accuracy level. Then conduct testing using 40 question and answer data. Then obtained 36 answers that are appropriate and 4 answers that are not appropriate with the percentage of accuracy of the answers generated from the chatbot is 90 percent. The results of this test can answer the questions asked by customers. This chatbot can make it easier for customers to get information with a very good level of accuracy.

Keywords

Chattbot; Natural Languange Processing; Artificial Intellegent

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References

M. T. Anwar, A. Nurwanda, F. Rahmat, M. Aufal, H. D. Purnomo, and A. Supriyanto, “Fast and Accurate Indonesian QnA Chatbot Using Bag-of-Words and Deep-Learning For Car Repair Shop Customer Service,” Advance Sustainable Science, Engineering and Technology, vol. 5, no. 2, p. 0230201, Jul. 2023, doi: 10.26877/ASSET.V5I2.14891.

K. U. Syaliman, N. Fadilah Najwa, T. Informatika, P. Caltex Riau, and S. Informasi, “Chatbot Sebagai Wadah Informasi Perkembangan Covid-19 di Kota Pekanbaru Menggunakan Platform Whatsapp,” IT Journal Research and Development, vol. 5, no. 2, pp. 234–245, Jan. 2021, doi: 10.25299/ITJRD.2021.VOL5(2).5842.

A. S. Dewantara and J. Aryanto, “Implementation Of A Web-Based Chatbot Using Machine Learning For Question And Answer Services In Universities,” Advance Sustainable Science, Engineering and Technology, vol. 6, no. 1, p. 0240106, Dec. 2024, doi: 10.26877/ASSET.V6I1.17590.

K. H. TEO and M. J. A. KHIRI, “FCSIT WhatsApp Chatbot,” Trends in Undergraduate Research, vol. 4, no. 1, pp. c41-51, Jun. 2021, doi: 10.33736/TUR.2866.2021.

M. A. Hakim, “Pembangunan Aplikasi Chatbot Midwify Sebagai Media Pendukung Pembelajaran Ilmu Kebidanan Berbasis Android Di Stikes Bhakti Kencana Bandung,” Mar. 2019, Accessed: Dec. 28, 2023. [Online]. Available: http://elibrary.unikom.ac.id

F. Halimatus Sahdiah, E. Fitriani Komara, F. Ekonomi dan Bisnis, and U. Jenderal Achmad Yani, “Penerapan Teknologi Chatbot Whatsapp untuk Meningkatkan Pelayanan dan Jaringan Bisnis,” Jurnal Pemberdayaan Ekonomi, vol. 1, no. 2, pp. 101–109, Aug. 2022, doi: 10.35912/JPE.V1I2.1234.

M. Mashud and W. Wisda, “Aplikasi Chatbot Berbasis Website sebagai Virtual Personal Assistant dalam Pemasaran Properti,” Inspiration: Jurnal Teknologi Informasi dan Komunikasi, vol. 9, no. 2, p. 99, Dec. 2019, doi: 10.35585/INSPIR.V9I2.2497.

V. Jonatan, A.-A. Igor, and S. Marcos Lima, “Creation Of A ChatBot Based On Natural Language Proccesing For Whatsapp,” An International Journal (ELELIJ, vol. 12, no. 2, Oct. 2023, doi: 10.14810/elelij.2023.12402.

B. Setiaji, E. Utami, and H. Al Fatta, “Membangun Chatbot Berbasis AIML dengan Arsitektur Pengetahuan Modular,” SEMNASTEKNOMEDIA ONLINE, vol. 1, no. 1, pp. 18–15, Jan. 2013, Accessed: Dec. 28, 2023. [Online]. Available: https://ojs.amikom.ac.id/index.php/semnasteknomedia/article/view/743

M. Muliyono and S. Sumijan, “Identifikasi Chatbot dalam Meningkatkan Pelayanan Online Menggunakan Metode Natural Language Processing,” Jurnal Informatika Ekonomi Bisnis, pp. 142–147, Sep. 2021, doi: 10.37034/INFEB.V3I4.102.

E. Larasati Amalia and D. Wahyu Wibowo, “Rancang Bangun Chatbot Untuk Meningkatkan Performa Bisnis,” Jurnal Ilmiah Teknologi Informasi Asia, vol. 13, no. 2, 2019.

R. N. Astuti and D. M. Fatchan, “PERANCANGAN APLIKASI TEKNOLOGI CHATBOT UNTUK INDUSTRI KOMERSIAL 4.0,” e-Prosiding SNasTekS, vol. 1, no. 1, pp. 339–348, 2019, Accessed: Dec. 28, 2023. [Online]. Available:

https://journal.unusida.ac.id/index.php/snts/article/view/103

M. N. Fauzy and K. Kusrini, “CHATBOT MENGGUNAKAN METODE FUZZY STRING MATCHING SEBAGAI VIRTUAL ASSISTANT PADA PUSAT LAYANAN INFORMASI AKADEMIK,” Jurnal Informa : Jurnal Penelitian dan Pengabdian Masyarakat, vol. 5, no. 1, pp. 61–67, Aug. 2019, doi: 10.46808/INFORMA.V5I1.70.

Z. M. HANIF, “Pengembangan Aplikasi Whatsapp Chatbot Untuk Pelayanan Akademik Di Perguruan Tinggi,” Dec. 2021, Accessed: Feb. 09, 2024. [Online]. Available: https://dspace.uii.ac.id/handle/123456789/37445

Z. Munawar, H. Soerjono, N. I. Putri, Hernawati, and A. Dwijayanti, “Manfaat Kecerdasan Buatan ChatGPT Untuk Membantu Penulisan Ilmiah,” TEMATIK, vol. 10, no. 1, pp. 54–60, Jun. 2023, doi: 10.38204/TEMATIK.V10I1.1291.

L. Rohmawati, M. A. Nugroho, and W. Wagito, “IMPLEMENTASI CHATBOT PADA WHATSAPP UNTUK MONITORING SUMBER DAYA SERVER,” Journal of Information System Management (JOISM), vol. 4, no. 2, pp. 107–112, Jan. 2023, doi: 10.24076/JOISM.2023V4I2.960.

A. Lubis and I. Sumartono, “Implementasi Layanan Akademik Berbasis Chatbot untuk Meningkatkan Interaksi Mahasiswa,” Resolusi : Rekayasa Teknik Informatika dan Informasi, vol. 3, no. 5, pp. 397–403, May 2023, doi: 10.30865/RESOLUSI.V3I5.767.

K. S. Adi, “Pengembangan Inovasi Layanan Sirkulasi Perpustakaan Berbasis Bot Whatsapp Di Perpustakaan Daerah Kabupaten Purworejo,” 2023, Accessed: Feb. 09, 2024. [Online]. Available: https://digilib.uns.ac.id/dokumen/103733/Pengembangan-Inovasi-Layanan-Sirkulasi-Perpustakaan-Berbasis-Bot-Whatsapp-Di-Perpustakaan-Daerah-Kabupaten-Purworejo

DOI: https://doi.org/10.26877/asset.v6i2.18309

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