Vol.13, No.1, February 2024.                                                                                                                                                                               ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Integral Chatbot Solution for Efficient Incident Management and Emergency or Disaster Response: Optimizing Communication and Coordination


Oscar Peña-Cáceres, Anthony Tavara-Ramos, Teofilo Correa-Calle, Manuel More-More


© 2024 Oscar Peña-Cáceres, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 13, Issue 1, Pages 50-61, ISSN 2217-8309, DOI: 10.18421/TEM131-05, February 2024.


Received: 12 August 2023.

Revised:   30 October 2023.
Accepted: 08 December 2023.
Published: 27 February 2024.




Climate change, with its unstable and dynamic weather phenomena, has a significant impact on the city of Piura, Peru, making it particularly vulnerable to the El Niño phenomenon. The limited technological infrastructure for communication between local authorities and the community has resulted in decisions that are unacceptable to the population. In order to address this gap and improve coordination during emergency or disaster situations, it is proposed to develop a specialized chatbot that integrates with modern platforms such as WhatsApp, Manychat, and Google Sheets. The solution was evaluated through a questionnaire and an observation guide, addressed to 30 citizens of the districts of Piura, Castilla, and Catacaos, Peru. The degree of satisfaction on the part of the users was 26.38%. In terms of the criterion of clarity, it is 26.44%. While 22.73% said that they needed coherence and fluency in conversation, Lastly, 24.45% corresponded to the level of accuracy in forwarding information and queries. The results of the study highlight the effectiveness of this solution as a digital alternative that not only optimizes incident management but also provides efficient responses and motivates citizens to be prepared through the use of modern technologies.


Keywords –Population, emergency, disaster, alert system, chatbot.



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