Revolutionizing Journal Publishing: Unleashing The Power Of Web-Based Chatbot Development With Dialogflow And Natural Language Processing
Abstract
The chatbot is a manifestation of Artificial Intelligence that can replace humans in engaging in conversational
interactions and providing information services to users or visitors. Chatbots generally interact through text
messages, voice, images, and other mediums. In this study, a web-based chatbot application was developed for a
journal website called the Journal of Multidisciplinary Issues, aiming to relieve site administrators from having to
repeatedly answer the same visitor questions. The development of the chatbot application followed the Rapid
Application Development method, involving several stages including planning, design, system development,
implementation, and testing. The application was built using Google Dialogflow services, employing Natural
Language Processing techniques, along with the integration feature called Dialogflow Messenger, which offers a
wide range of response options for journal websites utilizing Open Journal Systems. The chatbot application was
evaluated using Alpha and Closed Beta Testing methodologies, which yielded promising results. The chatbot
demonstrated the ability to provide appropriate responses after being tested with various question scenarios,
achieving a score of 85.25% in the questionnaire-based assessment, which aimed to gauge visitor perspectives on
the developed chatbot application. Future research endeavors should focus on integrating the chatbot with
popular social media platforms such as Facebook, WhatsApp, or LINE.
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