Treffer: Pengembangan Aplikasi Chatbot Dinas Pariwisata Kota Semarang Berbasis Neural Network.

Central Java has a variety of interesting tourist attractions to explore, but limited time and limited sources of information make it difficult to provide accurate information. In addition, tourist attraction managers have difficulty providing appropriate information to visitors. This research aims to incorporate a neural network into a Central Java tourist attraction chatbot application to improve its ability to understand and react appropriately to user questions. The AI Project Cycle technique combined with the Natural Language Processing (NLP) approach is a preprocessing stage in word processing. This research resulted in an accuracy of 99.92% and a loss of 0%. This chatbot program aims to give users easy access to information on tourist attractions in Central Java. [ABSTRACT FROM AUTHOR]

Jawa Tengah memiliki beragam tempat wisata yang menarik untuk dijelajahi, namun keterbatasan waktu dan terbatasnya sumber informasi membuat sulit untuk memberikan informasi yang tepat. Selain itu, pengelola objek wisata kesulitan memberikan informasi yang tepat kepada pengunjung. Tujuan dari penelitian ini adalah memasukkan neural network ke dalam aplikasi chatbot objek wisata Jawa Tengah untuk meningkatkan kemampuannya dalam memahami dan bereaksi secara tepat terhadap pertanyaan pengguna. Teknik AI Project Cycle yang dipadukan dengan pendekatan Natural Language Processing (NLP) berfungsi sebagai tahap preprocessing pada pengolahan kata. Penelitian ini menghasilkan akurasi sebesar 99,92% dan loss sebesar 0%. Program chatbot ini bertujuan untuk memberikan kemudahan akses informasi tempat wisata di Jawa Tengah kepada pengguna. [ABSTRACT FROM AUTHOR]

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