Application of Natural Language ProcessingTechnology For Making Agricultural Media Chatbots

Abstract

Agriculture is the use of resources by humans to produce food and raw materials and manage the surrounding environment. With the development of industry today, many fields use artificial intelligence, including agriculture. The aim of the research carried out is to help farmers find out some important information related to agriculture based on current relevance. Implementation of the application of Natural Language Processing (NLP) using the Dialogflow Platform to design and integrate conversational user interfaces for chatbot web applications. Chatbots have the ability to answer questions and provide solutions more quickly and efficiently compared to human-to-human interaction. The contribution of this research is that Indonesian agriculture is expected to be able to implement chatbots to improve the quality of information services and for users to make it easier to obtain information related to Indonesian agriculture. Based on the results of the evaluation of model analysis with confusion matrix which was carried out by testing the reliability method, the results of an accuracy level of 85% were obtained from the correct number of test data divided by the total dataset, the recall was 100%, precision was 85% and F-measure was 57.14%. This shows that the Chatbot is very feasible and effective to use