Abstract
Dengue fever is a dangerous disease caused by the dengue virus. One of the factors causing dengue fever is due to the place where you live in the tropics, so that cases of dengue fever in Indonesia, especially in the Bandung Regency area, will continue to show high numbers. Therefore, information is needed on the spread of this disease by requiring the accuracy and speed of diagnosis as early prevention. In terms of compiling this information, classification techniques can be done using a combination of methods Naïve Bayes, K-Nearest Neighbor(KNN), and Artificial Neural Network(ANN) to build predictions of the classification of dengue fever, and the data used in this Final Project are dataset affected by the spread of dengue fever in Bandung regency in the 2012-2018 period. The hybrid classifier results can improve accuracy with the voting method with an accuracy level of 90% in the classification of dengue fever.
Highlights
DENGUE Hemorrhagic Fever (DHF) is a type of infectious disease caused by the dengue virus where the virus comes from the bite of Aedes Aegypti and Aedes Albopictus and will continue to plague an area every year
Can be concluded that the classification of dengue based on the range of cases uses the Naïve Bayes, K-Nearest Neighbor, and Artificial Neural Network methods
The performance shown by the Naïve Bayes, K-Nearest Neighbor, Artificial Neural Network methods has less accuracy in the classification of dengue with an accuracy level of 74%, 78%, 86%, respectively
Summary
DENGUE Hemorrhagic Fever (DHF) is a type of infectious disease caused by the dengue virus where the virus comes from the bite of Aedes Aegypti and Aedes Albopictus and will continue to plague an area every year. This disease is still a priority in Indonesia because besides being a tropical country it is caused by the pattern of life of the people themselves by not maintaining the cleanliness of the surrounding environment. Dengue fever cases in Indonesia until July 2020 reached 71,633 cases and the highest number of cases was in West Java province with 10,772 cases [1].
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal on Information and Communication Technology (IJoICT)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
