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Proceedings of the 6th International Conference on Innovation in Education, Science, and Culture, ICIESC 2024, 17 September 2024, Medan, Indonesia

Research Article

Implementation of German Language Chatbot for Local Wisdom Information Services in North Sumatra

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  • @INPROCEEDINGS{10.4108/eai.17-9-2024.2352982,
        author={Herlina  Jasa Putri Harahap and Ahmad  Bengar Harahap and Muhammad  Reza},
        title={Implementation of German Language Chatbot for Local Wisdom Information Services in North Sumatra},
        proceedings={Proceedings of the 6th International Conference on Innovation in Education, Science, and Culture, ICIESC 2024, 17 September 2024, Medan, Indonesia},
        publisher={EAI},
        proceedings_a={ICIESC},
        year={2025},
        month={1},
        keywords={tourism industry local wisdom in north sumatra german chatbot development},
        doi={10.4108/eai.17-9-2024.2352982}
    }
    
  • Herlina Jasa Putri Harahap
    Ahmad Bengar Harahap
    Muhammad Reza
    Year: 2025
    Implementation of German Language Chatbot for Local Wisdom Information Services in North Sumatra
    ICIESC
    EAI
    DOI: 10.4108/eai.17-9-2024.2352982
Herlina Jasa Putri Harahap1,*, Ahmad Bengar Harahap1, Muhammad Reza2
  • 1: German Language Department, Universitas Negeri Medan
  • 2: Department of Linguistics, Universitas Pendidikan Indonesia
*Contact email: herlinajasaputri@unimed.ac.id

Abstract

In the modern digital era, technology plays a pivotal role in the tourism industry, particularly for foreign tourists, including German-speaking visitors traveling to Indonesia, especially North Sumatra. These tourists often seek information about local culture and customs online before their trips. This pre-travel research helps them understand key aspects of their destinations, addressing the challenge of limited available information and the scarcity of knowledgeable sources. This study emphasizes the importance of a robust research methodology in identifying and analyzing the necessary data sources to answer relevant questions and provide effective solutions. The research process involved developing and testing a chatbot using Rasa, an open-source conversational AI framework. The steps included installing Rasa, creating a new project directory, and defining the chatbot dataset, which involved creating essential files such as nlu.md, domain.yml, and stories.md. The training phase utilized machine learning frameworks like TensorFlow or PyTorch, ensuring that the chatbot met the study’s objectives and provided accurate, helpful responses for users.

Keywords
tourism industry local wisdom in north sumatra german chatbot development
Published
2025-01-14
Publisher
EAI
http://dx.doi.org/10.4108/eai.17-9-2024.2352982
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