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

Skripsi

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

Penilaian

0,0

dari 5
Penilaian anda saat ini :  

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.

Availability
Inventory Code Barcode Call Number Location Status
2407006938T162003T1620032024Central Library (REFERENCE)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1620032024
Publisher
Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya.,
Collation
xv, 42 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
006.350 7
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Pemrosesan Bahasa Alami
Prodi Teknik Informatika
Specific Detail Info
-
Statement of Responsibility
Other version/related

No other version available

File Attachment
Comments
You must be logged in to post a comment