Implementation of the ADDIE Model in Chatbot Development using Diagramflow

This study discusses the implementation of the ADDIE model in the development of a customer service chatbot using DiagramFlow. The ADDIE model, which consists of five stages—analysis, design, development, implementation, and evaluation—is applied to ensure that the chatbot enhances customer service efficiency. The analysis stage helps in understanding the needs of both customers and the customer service team, while the design and development stages ensure the chatbot functions optimally. The implementation of the chatbot demonstrates a positive impact in reducing the workload of customer service representatives and improving user experience. The evaluation indicates that the chatbot can provide fast and effective responses, although challenges remain in understanding customer language and achieving more natural interactions. Therefore, further development is necessary to enhance the chatbot’s intelligence, allowing it to better adapt to customer needs and deliver more optimal services.

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Publication Details

Journal
Journal of Technology and System Information
Published
2025-02-21
DOI
https://doi.org/10.47134/jtsi.v2i2.3758
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
Controls
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article

Implementation of the ADDIE Model in Chatbot Development using Diagramflow

Muhammad Setiyawan, Fadhil Mureno Ega Nugraha
1 citations
Journal of Technology and System Information
AI in Service Interactions
2.48
article

Implementation of the ADDIE Model in Chatbot Development using Diagramflow

Muhammad Setiyawan, Fadhil Mureno Ega Nugraha
article en
1 citations

Abstract

This study discusses the implementation of the ADDIE model in the development of a customer service chatbot using DiagramFlow. The ADDIE model, which consists of five stages—analysis, design, development, implementation, and evaluation—is applied to ensure that the chatbot enhances customer service efficiency. The analysis stage helps in understanding the needs of both customers and the customer service team, while the design and development stages ensure the chatbot functions optimally. The implementation of the chatbot demonstrates a positive impact in reducing the workload of customer service representatives and improving user experience. The evaluation indicates that the chatbot can provide fast and effective responses, although challenges remain in understanding customer language and achieving more natural interactions. Therefore, further development is necessary to enhance the chatbot’s intelligence, allowing it to better adapt to customer needs and deliver more optimal services.

Journal of Technology and System InformationVol. 2(2)
Multimedia University (MY)
Openalex Percentile: Top 12%
AI in Service Interactions
2.48
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