📅 31 March 2025
Klasifikasi Tingkat Demam Berdarah menggunakan Metode Naive Bayes Classifier untuk Deteksi Dini
Jurnal Informatika dan Rekayasa Perangkat Lunak
Universitas Wahid Hasyim
📄 Abstract
Nowadays, the flow of information has experienced a significant increase every day, which results in the accumulation of data in the form of text documents both online and offline. The classification of Dengue Fever data in the medical field is an essential task in predicting the disease, it can even support doctors in establishing a diagnosis, so it is important to make a diagnosis quickly in order to reduce the risk of Dengue Fever spreading in the community. The classification of dengue fever level using Naïve Bayes Classifier for early detection is the Naïve Bayes Algorithm can be used to classify the level of DD (Dengue Fever), and DBD1 (Dengue Hemorrhagic Fever Level 1), DBD2 (Dengue Hemorrhagic Fever Level 2), DBD3 (Hemorrhagic Fever) Level 3), Dengue4 (Hemorrhagic Fever Level 4) for early detection, which is taken from the result of the largest Naïve Bayes probability value. In testing the Naïve Bayes method using test data as many as 60 data.
🔖 Keywords
#Classification; Dengue Fever; Naive Bayes; Self Diagnosis
ℹ️ Informasi Publikasi
Tanggal Publikasi
31 March 2025
Volume / Nomor / Tahun
Volume 7, Nomor 1, Tahun 2025
📝 HOW TO CITE
Wijaya, Akhmad Pandhu; Annanto, Gilar Pandu; Saputra, Adek, "Klasifikasi Tingkat Demam Berdarah menggunakan Metode Naive Bayes Classifier untuk Deteksi Dini," Jurnal Informatika dan Rekayasa Perangkat Lunak, vol. 7, no. 1, Mar. 2025.
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