Chatbot-based Information Service using RASA Open-Source Framework
in Prambanan Temple Tourism Object
Dublin Core
Title
Chatbot-based Information Service using RASA Open-Source Framework
in Prambanan Temple Tourism Object
in Prambanan Temple Tourism Object
Subject
Covid-19, Chatbot, Machine Learning, RASA Open Source, Prambanan Temple
Description
The pandemic has caused a shift in the tourism industry's drive towards comprehensive digitization. This approach is used to
prevent the spread of the Covid-19 virus. The impact of Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) limiting the
mobility of tourists who will vacation in Indonesia causes losses and foreign exchange earnings of the state in the tourism
industry sector of 20.7 billion. So, to survive in the current situation, industry players must be able to adapt and rise by
providing more effective innovations. This study aims to develop a Question Answering System or a digital question and answer
system using a chatbot (ChatterBot). The chatbot is used as an information service provider that can make it easier for tourists
who are looking for information about tourist attractions. Chatbot-based information service systems can work 24 hours or all
day, reducing the intensity of direct physical contact with officers and saving operational costs. The chatbot implementation is
built on the Machine Learning Framework using RASA Open Source with the Python programming language. The knowledge
base of the chatbot system is trained based on the FAQ (Frequently Asking Question) dataset with a case study of the
Prambanan Temple tourist attraction as a sample of Indonesian tourism. The results of the evaluation and system performance
based on data testing obtained the level of model accuracy is 0.91. Furthermore, the weighted average value in the Confusion
Matrix produces a precision of 0.97, a recall of 0.94, and an F1-score of 0.95. The training and testing model processes locally
using the Visual Studio Code software
prevent the spread of the Covid-19 virus. The impact of Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) limiting the
mobility of tourists who will vacation in Indonesia causes losses and foreign exchange earnings of the state in the tourism
industry sector of 20.7 billion. So, to survive in the current situation, industry players must be able to adapt and rise by
providing more effective innovations. This study aims to develop a Question Answering System or a digital question and answer
system using a chatbot (ChatterBot). The chatbot is used as an information service provider that can make it easier for tourists
who are looking for information about tourist attractions. Chatbot-based information service systems can work 24 hours or all
day, reducing the intensity of direct physical contact with officers and saving operational costs. The chatbot implementation is
built on the Machine Learning Framework using RASA Open Source with the Python programming language. The knowledge
base of the chatbot system is trained based on the FAQ (Frequently Asking Question) dataset with a case study of the
Prambanan Temple tourist attraction as a sample of Indonesian tourism. The results of the evaluation and system performance
based on data testing obtained the level of model accuracy is 0.91. Furthermore, the weighted average value in the Confusion
Matrix produces a precision of 0.97, a recall of 0.94, and an F1-score of 0.95. The training and testing model processes locally
using the Visual Studio Code software
Creator
Zein Hanni Pradana1
, Hanin Nafi’ah2
,Raditya Artha Rochmanto3
, Hanin Nafi’ah2
,Raditya Artha Rochmanto3
Publisher
Institut Teknologi Telkom Purwokerto
Date
: 31-08-2022
Contributor
Fajar bagus W
Format
PDF
Language
Indonesia
Type
Text
Files
Collection
Citation
Zein Hanni Pradana1
, Hanin Nafi’ah2
,Raditya Artha Rochmanto3, “Chatbot-based Information Service using RASA Open-Source Framework
in Prambanan Temple Tourism Object,” Repository Horizon University Indonesia, accessed June 27, 2025, https://repository.horizon.ac.id/items/show/9197.
in Prambanan Temple Tourism Object,” Repository Horizon University Indonesia, accessed June 27, 2025, https://repository.horizon.ac.id/items/show/9197.