Optimalisasi Layanan Informasi Pulau Buru Melalui Chatbot Berbasis NLP dan NLU

Sirya Sabina Bin Thahir(1*), Imam Husni Al Amin(2),

(1) Universitas Stikubank Semarang, Indonesia
(2) Universitas Stikubank Semarang, Indonesia
(*) Corresponding Author


Buru Island is one of the prominent islands in the Maluku Archipelago, and the limited understanding of the local community about Buru Island has prompted the development of a Chatbot as an innovative information source. This Chatbot is designed utilizing Natural Language Processing (NLP) and Natural Language Understanding (NLU) through the RASA Framework. Its primary objective is to provide comprehensive information about Buru Island, encompassing tourist destinations, cultural heritage, traditions, culinary aspects, and various other public information. The testing process involved 96 diverse questions, and the results indicated an intent classification accuracy of 99.61%. Evaluation metrics such as micro average, macro average, and weighted average produced positive outcomes, with precision, recall, and f1-score reaching optimal values, ensuring the Chatbot's optimal accuracy level. The Chatbot technology not only enhances efficiency and speed in delivering information to users but also has the potential to operate without administrative supervision, significantly reducing operational costs. Consequently, this Chatbot serves as an effective solution to improve public understanding of Buru Island.  The main advantage of this Chatbot lies in its ability to provide comprehensive information, supporting the potential of tourism and culture on Buru Island. Thus, this information service can enhance public understanding, promote tourist destinations, and contribute positively to the overall development of Buru Island

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Munawir And Erdiwansyah, “Perancangan Portal Informasi Gampong Pada Lambeugak Kecamatan Kuta Cot Glie Aceh Besar,” 2018.

Edi Said Ningkeula Sp, Belinda Sam, And Lutfi Rumkel, “Daya Dukung Kawasan Pedesaan Di Pesisir Barat Pulau Buru Untuk Pengembangan Wisata Bahari,” 2018.

Shabrina Fitria Az Zahra, Syarip Hidayat, And Idhar Resmadi,

“Perancangan Media Informasi Untuk Memperkenalkan Destinasi Wisata Halal Di Lombok The Design Of Information Media To Introduce Lombok’s Halal Tourism Destinastion,” 2020.

M. Mekni, “An Artificial Intelligence Based Virtual Assistant Using Conversational Agents,” Journal Of Software Engineering And Applications, Vol. 14, No. 09, Pp. 455–473, 2021, Doi: 10.4236/Jsea.2021.149027.

B. R. Ranoliya, N. Raghuwanshi, And S. Singh, “Chatbot For University Related Faqs,” In 2017 International Conference On Advances In Computing, Communications And Informatics, Icacci 2017, Institute Of Electrical And Electronics Engineers Inc., Nov. 2017, Pp. 1525–1530. Doi: 10.1109/Icacci.2017.8126057.

E. Adamopoulou And L. Moussiades, “An Overview Of Chatbot Technology,” In Ifip Advances In Information And Communication Technology, Springer, 2020, Pp. 373–383. Doi: 10.1007/978-3-030-49186-4_31.

J. Arief Mulyono And Sfenrianto, “Evaluation Of Customer Satisfaction On Indonesian Banking Chatbot Services During The Covid-19 Pandemic,” 2022.

Laksmi Anindyati, “Analisis Dan Perancangan Aplikasi Chatbot Menggunakan Framework Rasa Dan Sistem Informasi Pemeliharaan Aplikasi (Studi Kasus Chatbot Penerimaan Mahasiswa Baru Politeknik Astra),” Jurnal Teknologi Informasi Dan Ilmu Komputer (Jtiik), Vol. 10, No. 2, Pp. 291–300, 2023.

A. Ferrando, A. Gatti, And V. Mascardi, “Rv4rasa: A Formalism-Agnostic Runtime Verification Framework For Verifying Chatbots In Rasa,” 2023, Doi: 10.1145/3605159.

A. Abdellatif, K. Badran, D. E. Costa, And E. Shihab, “A Comparison Of Natural Language Understanding Platforms For Chatbots In Software Engineering,” 2021.

R. Kumar Sharma And M. Joshi, “An Analytical Study And Review Of Open Source Chatbot Framework, Rasa,” 2020. [Online]. Available: Www.Ijert.Org

A. Stoica, T. Kadar, C. Lemnaru, R. Potolea, And M. Dînșoreanu, “Intent Detection And Slot Filling With Capsule Net Architectures For A Romanian Home Assistant,” Sensors (Switzerland), Vol. 21, No. 4, Pp. 1–28, Feb. 2021, Doi: 10.3390/S21041230.

A. Jiao, “An Intelligent Chatbot System Based On Entity Extraction Using Rasa Nlu And Neural Network,” In Journal Of Physics: Conference Series, Institute Of Physics Publishing, Apr. 2020. Doi: 10.1088/1742-6596/1487/1/012014.

A. D. Ferdian And S. N. Anwar, “Pengembangan Chatbot Untuk Informasi Wisata Interaktif Di Tangerang Selatan Menggunakan Framework Rasa,” Jurnal Teknologi Dan Sistem Informasi Bisnis, Vol. 5, No. 4, Pp. 476–483, Oct. 2023, Doi: 10.47233/Jteksis.V5i4.953.

Meiliverani Erline And Yefta Christian, “Web-Based Chatbot With Natural Language Processing And Knuth-Morris-Pratt (Case Study: Universitas Internasional Batam),” Jurnal Sains Dan Teknologi, Vol. 11, Pp. 132–141, 2022, Doi: 10.23887/Jst-Undiksha.V11i1.

DOI: http://dx.doi.org/10.30645/jurasik.v9i1.728

DOI (PDF): http://dx.doi.org/10.30645/jurasik.v9i1.728.g703


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