Implementation Of German Language Chatbot For Local Wisdom Information Services In North Sumatra
Herlina Jasa Putri Harahap1, Ahmad Bengar Harahap2, Muhammad Reza3

Universitas Negeri Medan, Jalan Willem Iskandar, Pasar V Medan Estate, Percut Sei Tuan, Deli Serdang1,
Universitas Negeri Medan, Jalan Willem Iskandar, Pasar V Medan Estate, Percut Sei Tuan, Deli Serdang 2,
Universitas Pendidikan Indonesia, Jl. Dr. Setiabudhi No. 229 Bandung3

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^s 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

Topic: Linguistics and Foreign Language