in Chatbot-based Information Service using RASA Open-Source Framework in Prambanan Temple Tourism Object
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 Indonesi...
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| Format: | Article |
| Language: | English |
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Ikatan Ahli Informatika Indonesia
2022-08-01
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| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Subjects: | |
| Online Access: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/3913 |
| _version_ | 1797334098046353408 |
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| author | Zein Hanni Pradana Hanin Nafi'ah Raditya Artha Rochmanto |
| author_facet | Zein Hanni Pradana Hanin Nafi'ah Raditya Artha Rochmanto |
| author_sort | Zein Hanni Pradana |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-08T08:15:45Z |
| format | Article |
| id | doaj.art-bd92af67f9214def90c54e9b8b9876b2 |
| institution | Directory Open Access Journal |
| issn | 2580-0760 |
| language | English |
| last_indexed | 2024-03-08T08:15:45Z |
| publishDate | 2022-08-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj.art-bd92af67f9214def90c54e9b8b9876b22024-02-02T07:42:27ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602022-08-016465666210.29207/resti.v6i4.39133913in Chatbot-based Information Service using RASA Open-Source Framework in Prambanan Temple Tourism ObjectZein Hanni PradanaHanin Nafi'ahRaditya Artha RochmantoThe 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.http://jurnal.iaii.or.id/index.php/RESTI/article/view/3913covid-19, chatbot, machine learning, rasa open source, prambanan temple |
| spellingShingle | Zein Hanni Pradana Hanin Nafi'ah Raditya Artha Rochmanto in Chatbot-based Information Service using RASA Open-Source Framework in Prambanan Temple Tourism Object Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) covid-19, chatbot, machine learning, rasa open source, prambanan temple |
| title | in Chatbot-based Information Service using RASA Open-Source Framework in Prambanan Temple Tourism Object |
| title_full | in Chatbot-based Information Service using RASA Open-Source Framework in Prambanan Temple Tourism Object |
| title_fullStr | in Chatbot-based Information Service using RASA Open-Source Framework in Prambanan Temple Tourism Object |
| title_full_unstemmed | in Chatbot-based Information Service using RASA Open-Source Framework in Prambanan Temple Tourism Object |
| title_short | in Chatbot-based Information Service using RASA Open-Source Framework in Prambanan Temple Tourism Object |
| title_sort | in chatbot based information service using rasa open source framework in prambanan temple tourism object |
| topic | covid-19, chatbot, machine learning, rasa open source, prambanan temple |
| url | http://jurnal.iaii.or.id/index.php/RESTI/article/view/3913 |
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