Communications in Mathematical Biology and Neuroscience, 2021
Based on various reports of COVID-19 caused by a coronavirus, this disease causes numerous proble... more Based on various reports of COVID-19 caused by a coronavirus, this disease causes numerous problems. There are many factors that can contribute to the rapid spread of COVID-19. In this study, multi-model application is used to identify the association among various variables that cause COVID-19. The use of programmes, artificial intelligence and input data that will be processed as a symptom of the COVID-19 disease, whose data processing uses a multi-model that will classify the variables causing COVID-19. The output data will be presented in a tabular form, so that the readers can easily understand the results. The best result obtained by this programme has an accuracy of 0.979767 using a decision tree with 0.3 of the total dataset as the test data. It is expected that the rate of spread of COVID-19 can be suppressed by detecting the disease using artificial intelligence. In the future, it is expected that a multidisciplinary collaboration between medical science and mathematics can be established with the help of this programme. This enables the authenticity of the research, and the model’s performance be tested based on appropriate data in the field.
In the modern era, the implementation of chatbot can be used in various fields of science. This r... more In the modern era, the implementation of chatbot can be used in various fields of science. This research will focus on the application of sentence classification using the News Aggregator Dataset that is used to test the model against the categories determined to create the chatbot program. The results of the chatbot program trial by multimodal implementation applied four models (GRU, Bi-GRU, 1D CNN, 1D CNN Transpose) with six variations of parameters to produce the best results from the entire trial. The best test results from this research for the chatbot program using the 1D CNN Transpose model are the best models with detailed characteristics in this research, which produces an accuracy value of 0.9919. The test results on both types of chatbot are expected to produce sentence prediction results and precise and accurate detection results. The stages in making the program are explained in detail; therefore, it is hoped that program users can understand not only how to use the pro...
Communications in Mathematical Biology and Neuroscience, 2021
Based on various reports of COVID-19 caused by a coronavirus, this disease causes numerous proble... more Based on various reports of COVID-19 caused by a coronavirus, this disease causes numerous problems. There are many factors that can contribute to the rapid spread of COVID-19. In this study, multi-model application is used to identify the association among various variables that cause COVID-19. The use of programmes, artificial intelligence and input data that will be processed as a symptom of the COVID-19 disease, whose data processing uses a multi-model that will classify the variables causing COVID-19. The output data will be presented in a tabular form, so that the readers can easily understand the results. The best result obtained by this programme has an accuracy of 0.979767 using a decision tree with 0.3 of the total dataset as the test data. It is expected that the rate of spread of COVID-19 can be suppressed by detecting the disease using artificial intelligence. In the future, it is expected that a multidisciplinary collaboration between medical science and mathematics can be established with the help of this programme. This enables the authenticity of the research, and the model’s performance be tested based on appropriate data in the field.
In the modern era, the implementation of chatbot can be used in various fields of science. This r... more In the modern era, the implementation of chatbot can be used in various fields of science. This research will focus on the application of sentence classification using the News Aggregator Dataset that is used to test the model against the categories determined to create the chatbot program. The results of the chatbot program trial by multimodal implementation applied four models (GRU, Bi-GRU, 1D CNN, 1D CNN Transpose) with six variations of parameters to produce the best results from the entire trial. The best test results from this research for the chatbot program using the 1D CNN Transpose model are the best models with detailed characteristics in this research, which produces an accuracy value of 0.9919. The test results on both types of chatbot are expected to produce sentence prediction results and precise and accurate detection results. The stages in making the program are explained in detail; therefore, it is hoped that program users can understand not only how to use the pro...
Uploads
Papers by Rinaldi Buyung