Published: 2025-01-01
Sistem Rekomendasi Wisata di Pekalongan melalui Chatbot dengan Framework Rasa
DOI: 10.35870/jtik.v9i1.3000
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Abstract
Pekalongan, a city renowned for its batik and rich in cultural and natural attractions, has great potential in the tourism sector. However, limited access to integrated and easily accessible information poses challenges for tourists planning their trips. The Rasa-based Telegram chatbot addresses these challenges as an innovative solution. Through interactive engagement, tourists can receive recommendations for destinations, culinary spots, and other relevant information tailored to their preferences. This system leverages Rasa Natural Language Understanding (NLU) to interpret user queries and provide appropriate responses. Comprehensive tourism data of Pekalongan is embedded into the system to ensure accurate and relevant recommendations. The chatbot's evaluation includes direct user testing to measure the accuracy of recommendations, user satisfaction, and ease of use. Results indicate that the Rasa-based Telegram chatbot can deliver personalized and accurate recommendations, enhancing the travel planning experience for tourists visiting Pekalongan.
Keywords
Chatbot ; Telegram ; Rasa ; Natural Language Understanding ; Natural Language Processing
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 9 No. 1 (2025)
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Section: Computer & Communication Science
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Published: %750 %e, %2025
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License: CC BY 4.0
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Copyright: © 2024 Authors
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DOI: 10.35870/jtik.v9i1.3000
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Fakhri
Program Studi Teknik Informatika, Fakultas Teknologi Informasi dan Industri, Universitas Stikubank, Kota Semarang, Provinsi Jawa Tengah, Indonesia.
Kristiawan Nugroho
Program Studi Teknik Informatika, Fakultas Teknologi Informasi dan Industri, Universitas Stikubank, Kota Semarang, Provinsi Jawa Tengah, Indonesia.
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