Perancangan Chatbot Hotel dengan Model Natural Language Processing Chatbot dan Button Based Chatbot

  • I Gede Ryoga Kusnanda Udayana University
  • I Made Sukarsa
  • Anak Agung Ngurah Hary Susila

Abstract

Teknologi chatbot sudah mulai diterapkan pada berbagai sektor, termasuk sektor hotel. Kehadiran chatbot sangat membantu dalam ketepatan dan ketepatan penyampaian informasi. Namun, chatbot yang diterapkan pada sektor ini fiturnya kurang lengkap dan balasannya hanya dalam bentuk teks. Oleh karena itu, perlu adanya chatbot hotel yang mampu memberikan informasi dalam bentuk media lain yang lebih informatif. Chatbot hotel yang dirancang pada penelitian ini menggunakan tools Dialogflow, dan disematkan pada aplikasi Messenger. Chatbot hotel memiliki fitur informasi, navigasi, telepon, galley slide, card, dan telepon. Button-Based Chatbot dan Natural Language Processing Chatbot adalah dua model yang digunakan pada chatbot, sehingga chatbot dapat menerima dua jenis input. Metode Black-Box testing digunakan pada pengujian ketepatan respon chatbot, dan berdasarkan hasil pengujian tersebut, chatbot mampu merespon semua input dari pengguna dengan benar. Chatbot mampu memberikan jawaban tepat meskipun terdapat typo karena adanya penerapan Natural Language Processing.

References

[1] I. N. S. Paliwahet, I. M. Sukarsa, and I. K. Gede Darma Putra, “Pencarian Informasi Wisata Daerah Bali Menggunakan Teknologi Chatbot,” Lontar Komput. J. Ilm. Teknol. Inf., vol. 8, no. 3, p. 144, 2017, doi: 10.24843/lkjiti.2017.v08.i03.p01.

[2] D. Gentia, I. M. Sukarsa, and K. S. Wibawa, “Rancang Bangun Chatbot Sebagai Penghubung Komunikasi Antara Aplikasi Line Messenger Dengan Telegram Messenger,” J. Ilm. Merpati (Menara Penelit. Akad. Teknol. Informasi), vol. 8, no. 3, pp. 156–167, 2020.

[3] I. K. P. Pinajeng, I. M. Sukarsa, and I. M. S. Putra, “Perbaikan Kata pada Sistem Chatbot dengan Metode Jaro Winkler,” JITTER J. Ilm. Teknol. dan Komput., vol. 1, no. 2, pp. 86–95, 2020, [Online]. Available: https://ojs.unud.ac.id/index.php/jitter/article/view/66062.

[4] S. Ivanov, “The impact of automation on tourism and hospitality jobs,” Inf. Technol. Tour., vol. 22, no. 2, pp. 205–215, 2020, doi: 10.1007/s40558-020-00175-1.

[5] D. C. Ukpabi, B. Aslam, and H. Karjaluoto, “Chatbot adoption in tourism services: A conceptual exploration,” Robot. Artif. Intell. Serv. Autom. Travel. Tour. Hosp., pp. 105–121, 2019, doi: 10.1108/978-1-78756-687-320191006.

[6] A. Argal, S. Gupta, A. Modi, P. Pandey, S. Shim, and C. Choo, “Intelligent travel chatbot for predictive recommendation in echo platform,” 2018 IEEE 8th Annu. Comput. Commun. Work. Conf. CCWC 2018, vol. 2018-Janua, pp. 176–183, 2018, doi: 10.1109/CCWC.2018.8301732.

[7] M. Facta, Institute of Electrical and Electronics Engineers. Indonesia Section, Universitas Diponegoro. Department of Electrical Engineering, and Institute of Electrical and Electronics Engineers., “2018 5th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE 2018) : proceedings : September 26-28th, 2018, Semarang, Indonesia,” 2018 5th Int. Conf. Inf. Technol. Comput. Electr. Eng., pp. 131–136, 2018.

[8] F. Colace, M. De Santo, M. Lombardi, F. Pascale, A. Pietrosanto, and S. Lemma, “Chatbot for e-learning: A case of study,” Int. J. Mech. Eng. Robot. Res., vol. 7, no. 5, pp. 528–533, 2018, doi: 10.18178/ijmerr.7.5.528-533.

[9] N. A. Ahmad, M. Hafiz, C. Hamid, A. Zainal, and Z. Baharum, “UNISEL Bot: Designing Simple Chatbot System for University FAQs,” Int. J. Innov. Technol. Explor. Eng., vol. 9, no. 2, pp. 4689–4693, 2019, doi: 10.35940/ijitee.b9067.129219.

[10] R. Roy and V. Naidoo, “Enhancing chatbot effectiveness: The role of anthropomorphic conversational styles and time orientation,” J. Bus. Res., vol. 126, no. October 2019, pp. 23–34, 2021, doi: 10.1016/j.jbusres.2020.12.051.

[11] D. Gunawan, F. P. Putri, and H. Meidia, “Bershca: Bringing chatbot into hotel industry in Indonesia,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 18, no. 2, pp. 839–845, 2020, doi: 10.12928/TELKOMNIKA.V18I2.14841.

[12] S. Parmar, M. Meshram, P. Parmar, M. Patel, and P. Desai, “Smart Hotel Using Intelligent Chatbot : A Review,” Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol., vol. 5, no. 2, pp. 823–829, 2019, doi: 10.32628/cseit11952246.

[13] M. Sarosa, M. Kusumawardani, A. Suyono, and M. H. Wijaya, “Developing a social media-based Chatbot for English learning,” IOP Conf. Ser. Mater. Sci. Eng., vol. 732, no. 1, 2020, doi: 10.1088/1757-899X/732/1/012074.

[14] A. F. Muhammad, D. Susanto, A. Alimudin, F. Adila, M. H. Assidiqi, and S. Nabhan, “Developing English Conversation Chatbot Using Dialogflow,” IES 2020 - Int. Electron. Symp. Role Auton. Intell. Syst. Hum. Life Comf., pp. 468–475, 2020, doi: 10.1109/IES50839.2020.9231659.

[15] A. Y. Chandra, D. Kurniawan, and R. Musa, “Perancangan Chatbot Menggunakan Dialogflow Natural Language Processing (Studi Kasus: Sistem Pemesanan pada Coffee Shop),” J. Media Inform. Budidarma, vol. 4, no. 1, p. 208, 2020, doi: 10.30865/mib.v4i1.1505.

[16] P. Alto and M. Wroczynski, “(12) Patent Application Publication (10) Pub. No.: US 2017/0017635 A1,” vol. 1, no. 19, 2017.

[17] Ananda Dwi, F. Imamah, Y. M. Andre, and Ardiansyah, “Aplikasi Chatbot (Milki Bot) Yang Terintegrasi Dengan Web CMS Untuk Customer Service Pada UKM MINSU,” J. Cendikia, vol. XVI, pp. 100–106, 2018.

[18] A. Jiao, “An Intelligent Chatbot System Based on Entity Extraction Using RASA NLU and Neural Network,” J. Phys. Conf. Ser., vol. 1487, no. 1, 2020, doi: 10.1088/1742-6596/1487/1/012014.

[19] T. S. Jaya, “Pengujian Aplikasi Dengan Metode Blackbox Testing Boundary Value Analysis (Studi Kasus: Kantor Digital Politeknik Negeri Lampung),” J. Inform. J. Pengemb. IT, vol. 3, no. 2, pp. 45–48, 2018.

[20] C. H. Yuan and Y. J. Wu, “Mobile instant messaging or face-to-face? Group interactions in cooperative simulations,” Comput. Human Behav., vol. 113, no. November 2018, p. 106508, 2020, doi: 10.1016/j.chb.2020.106508.
Published
2022-01-08
How to Cite
KUSNANDA, I Gede Ryoga; SUKARSA, I Made; SUSILA, Anak Agung Ngurah Hary. Perancangan Chatbot Hotel dengan Model Natural Language Processing Chatbot dan Button Based Chatbot. JITTER : Jurnal Ilmiah Teknologi dan Komputer, [S.l.], v. 3, n. 1, p. 711-720, jan. 2022. ISSN 2747-1233. Available at: <https://ojs.unud.ac.id/index.php/jitter/article/view/81945>. Date accessed: 22 may 2022.

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