SISTEM CHATBOT INFORMASI WISATA DI KOTA PALEMBANG MENGGUNAKAN MODEL LONG SHORT-TERM MEMORY (LSTM)

HERWANSYAH, YUDHA and Abdiansah, Abdiansah (2024) SISTEM CHATBOT INFORMASI WISATA DI KOTA PALEMBANG MENGGUNAKAN MODEL LONG SHORT-TERM MEMORY (LSTM). Undergraduate thesis, Sriwijaya University.

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Abstract

The rapid development of information technology has led to various innovations that simplify human activities, including the search for information through intelligent search engines such as Google, Bing, and Yahoo. However, the abundance of information available on the internet, especially related to tourism, often makes it difficult for users to find accurate and reliable information. Therefore, this study aims to develop a chatbot system that can provide accurate and precise tourism information about Palembang City. The chatbot is designed using the Long Short-Term Memory (LSTM) model, which is known to be effective in processing sequential data and providing relevant responses based on user queries. The system is also designed to understand both Indonesian and English, enabling both domestic and international users to utilize it. The study results show that the LSTM model achieved the best performance using a learning rate of 0.01, a batch size of 5, and 300 epochs, resulting in an accuracy of 97.26%, a validation accuracy of 96.93%, a loss of 0.1105, and a validation loss of 0.1733. Additionally, testing the chatbot demonstrated an accuracy rate of 96.67% for appropriate responses and 3.33% for inappropriate responses. The inappropriate responses occurred due to spelling errors in user queries. Thus, this chatbot application is expected to serve as an effective medium for providing tourism information about Palembang City.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	chatbot, tourism, Long Short-Term Memory, LSTM
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Yudha Herwansyah
Date Deposited:	31 Dec 2024 03:23
Last Modified:	31 Dec 2024 03:23
URI:	http://repository.unsri.ac.id/id/eprint/162003

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