RANCANGAN CHATBOT REKOMENDASI COFFEE SHOP JABODETABEK DENGAN MENGGUNAKAN DIALOGFLOW NATURAL LANGUAGE PROCESSING
Abstract
Public interest in coffee culture is increasing, especially in the JABODETABEK area. Some ways to get information about finding recommendations for coffee shops that are tiring through social media platforms, asking peers, advertisements and others still feel less effective and efficient. Utilization of chatbot technology and Natural Language Processing as an effective solution in providing coffee shop recommendations to users. This research aims to design and implement a chatbot that has the ability to deliver coffee shop recommendations based on user preferences. This chatbot is applied with Dialogflow which is able to connect to the Telegram platform. Dialogflow is used to process user input in the form of natural language and provide additional information such as location, opening hours, prices, menus, and social media to communicate to the coffee shop. Chatbot is a practical way for Telegram users to communicate information quickly. The expected result of this coffee shop recommendation chatbot system using Dialogflow NLP is to be able to provide useful and relevant recommendations to users, with the potential to promote coffee culture in the Jabodetabek area.
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References
[2] I. G. R. Kusnanda, I. M. Sukarsa, A. A. N. H. Susila, “Perancangan Chatbot Hotel dengan Model Natural Language Processing Chatbot dan Button Based Chatbot,” JITTER Jurnal Ilmiah Teknologi dan Komputer, vol. 3, no. 1, 2022.
[3] K. P. Dharmawan, I. M. Sukarsa, and D. P. Githa, “Rancang Bangun Chatbot Desa Wisata Badung Bali dengan Dialogflow,” JITTER Jurnal Ilmiah Teknologi dan Komputer, vol. 3, no. 2, p. 1217, 2022.
[4] D. Gentia, I. M. Sukarsa, and K. S. Wibawa, “Rancang Bangun Chatbot Sebagai Penghubung Komunikasi antara Aplikasi Line Messenger dengan Telegram Messenger,” Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi), vol. 8, no. 3, p. 156, 2020.
[5] R. Bisma, P. Nerisafitra, and A. W. Utami, “Perancangan Sistem Perhitungan Kebutuhan Kalori Sebagai Pendamping Gaya Hidup Sehat,” Journal of Emerging Information System and Business Intelligence (JEISBI), vol. 2, no. 4, pp. 1–7, 2021.
[6] J. A. Putra and A. Budi, “Penerapan Natural Language Processing dalam Aplikasi Chatbot Sebagai Media Pencarian Informasi Dengan Menggunakan React (Studi Kasus: Institut Bisnis dan Informatika Kwik Kian Gie),” Jurnal Informatika dan Bisnis, vol. 9, no. 2, pp. 1–12, 2020.
[7] A. Bachtiar, “Pengembangan Aplikasi Web Q & A untuk Prosedur KP , TA dan KKN Jurusan Teknik Informatika UII dengan Menggunakan Google Dialogflow,” Tugas Akhir, Program Sarjana Fakultas Teknologi Industri, Universitas Islam Indonesia, p. 44, 2018.
[8] P. Perez et al, “ChatPy: Conversational agent for SMEs: A case study,” Iberian Conference on Information Systems and Technologies (CISTI), vol. 2019-June, no. June, pp. 19–22, 2019.
[9] E. Utami and S. Hartati, “Aplikasi Botqa Untuk Meningkatkan Cara Interaksi Manusia Dan Mesin,” Seminar Nasional Aplikasi Teknologi Informasi, vol. no. pp. 1–8, 2007, [Online]. Available: https://journal.uii.ac.id/Snati/article/download/1618/1393.
[10] A. Gupta, “Introduction to AI Chatbots,” International Journal of Engineering Research & Technology (IJERT), vol. V9, no. 07, pp. 255–258, 2020.
[11] J. Fahana, R. Umar, and F. Ridho, “Pemanfaatan Telegram Sebagai Notifikasi Serangan untuk Keperluan Forensik Jaringan,” QUERY : Jurnal Sistem Informasi, vol. 01 ,no. 02 , October 2017, pp. 6–14, 2017.
[12] D. Rudhistiar et al, “Pembangunan dan Pengembangan Sistem Chat Bot SPADA Menggunakan Telegram,” Prosiding SENIATI, vol. 6, no. 3, pp. 472–477, 2022.
[13] M. Muliyono, “Identifikasi Chatbot dalam Meningkatkan Pelayanan Online Menggunakan Metode Natural Language Processing,” Jurnal Informatika Ekonomi dan Bisnis, vol. 3 no.4, pp. 142–147, 2021.