Toddler Stunting Consulting Chatbot using Rasa Framework
Chatbots are artificial intelligence software that can communicate with users to assist them in certain tasks or provide information. They can reduce the need for human interaction and make processes more efficient. However, when it comes to more specific tasks related to handling the problem of stu...
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| Format: | Article |
| Language: | English |
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Universitas Syiah Kuala
2023-12-01
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| Series: | Jurnal Rekayasa Elektrika |
| Subjects: | |
| Online Access: | https://jurnal.usk.ac.id/JRE/article/view/33014 |
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| author | Wiwien Hadikurniawati Sutarto Wijono Danny Manongga Irwan Sembiring Kristoko Dwi Hartomo |
| author_facet | Wiwien Hadikurniawati Sutarto Wijono Danny Manongga Irwan Sembiring Kristoko Dwi Hartomo |
| author_sort | Wiwien Hadikurniawati |
| collection | DOAJ |
| description | Chatbots are artificial intelligence software that can communicate with users to assist them in certain tasks or provide information. They can reduce the need for human interaction and make processes more efficient. However, when it comes to more specific tasks related to handling the problem of stunting in toddlers these services are usually unable to provide an appropriate response. Chatbots were created with the help of the Rasa framework, which was designed to adapt the various components of natural language understanding (NLU). This adjustment allows him to understand more complex questions from respondents such as those related to healthy feeding of toddlers. This research explained the use of the Rasa framework to enhance their capabilities, describe the testing and evaluation process, and present the performance results of the chatbot model in addressing the issue of stunting in toddlers. The model is then tested using a confusion matrix, precision, accuracy, and F1 score, which measures how accurate the chatbot's responses are to the user's input. The model had a precision, accuracy, and F1 score of 0.928, 0.932 and 0.930, respectively. |
| format | Article |
| id | doaj-art-5aa2ec35b9d74d5c996873e7456e7a7d |
| institution | OA Journals |
| issn | 1412-4785 2252-620X |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Universitas Syiah Kuala |
| record_format | Article |
| series | Jurnal Rekayasa Elektrika |
| spelling | doaj-art-5aa2ec35b9d74d5c996873e7456e7a7d2025-08-20T02:21:20ZengUniversitas Syiah KualaJurnal Rekayasa Elektrika1412-47852252-620X2023-12-0119410.17529/jre.v19i4.3301416989Toddler Stunting Consulting Chatbot using Rasa FrameworkWiwien Hadikurniawati0Sutarto Wijono1Danny Manongga2Irwan Sembiring3Kristoko Dwi Hartomo4Universitas Kristen Satya Wacana Universitas StikubankUniversitas Kristen Satya WacanaUniversitas Kristen Satya WacanaUniversitas Kristen Satya WacanaUniversitas Kristen Satya WacanaChatbots are artificial intelligence software that can communicate with users to assist them in certain tasks or provide information. They can reduce the need for human interaction and make processes more efficient. However, when it comes to more specific tasks related to handling the problem of stunting in toddlers these services are usually unable to provide an appropriate response. Chatbots were created with the help of the Rasa framework, which was designed to adapt the various components of natural language understanding (NLU). This adjustment allows him to understand more complex questions from respondents such as those related to healthy feeding of toddlers. This research explained the use of the Rasa framework to enhance their capabilities, describe the testing and evaluation process, and present the performance results of the chatbot model in addressing the issue of stunting in toddlers. The model is then tested using a confusion matrix, precision, accuracy, and F1 score, which measures how accurate the chatbot's responses are to the user's input. The model had a precision, accuracy, and F1 score of 0.928, 0.932 and 0.930, respectively.https://jurnal.usk.ac.id/JRE/article/view/33014artificial intelligencechatbotrasa nlustunting |
| spellingShingle | Wiwien Hadikurniawati Sutarto Wijono Danny Manongga Irwan Sembiring Kristoko Dwi Hartomo Toddler Stunting Consulting Chatbot using Rasa Framework Jurnal Rekayasa Elektrika artificial intelligence chatbot rasa nlu stunting |
| title | Toddler Stunting Consulting Chatbot using Rasa Framework |
| title_full | Toddler Stunting Consulting Chatbot using Rasa Framework |
| title_fullStr | Toddler Stunting Consulting Chatbot using Rasa Framework |
| title_full_unstemmed | Toddler Stunting Consulting Chatbot using Rasa Framework |
| title_short | Toddler Stunting Consulting Chatbot using Rasa Framework |
| title_sort | toddler stunting consulting chatbot using rasa framework |
| topic | artificial intelligence chatbot rasa nlu stunting |
| url | https://jurnal.usk.ac.id/JRE/article/view/33014 |
| work_keys_str_mv | AT wiwienhadikurniawati toddlerstuntingconsultingchatbotusingrasaframework AT sutartowijono toddlerstuntingconsultingchatbotusingrasaframework AT dannymanongga toddlerstuntingconsultingchatbotusingrasaframework AT irwansembiring toddlerstuntingconsultingchatbotusingrasaframework AT kristokodwihartomo toddlerstuntingconsultingchatbotusingrasaframework |