Klasifikasi Naïve Bayes Untuk Mendiagnosis Penyakit Pneumonia Pada Anak Balita (Studi Kasus: UPTD Puskesmas Sukaraja Sukabumi)

Klasifikasi Naïve Bayes Untuk Mendiagnosis Penyakit Pneumonia Pada Anak Balita (Studi Kasus: UPTD Puskesmas Sukaraja Sukabumi)

• By Rahmawati, Ami; Wintana, Dede; Suhada, Satia; Gunawan, Gunawan; Sulaiman, Hamdun;
• Jurnal Nasional Terakreditasi
• 138
• 241-253

Pneumonia is a contagious infectious disease that is the leading cause of death in toddlers in the world. In developed countries, there are 4 million cases each year, totaling 156 million cases of pneumonia every year worldwide. Pneumonia is caused by, among others, bacteria, viruses, fungi, exposure to chemicals or physical damage from the lungs, as well as indirect effects from other diseases. Pneumonia is characterized by symptoms of coughing and / or difficulty breathing such as rapid breathing, and pulling the lower chest wall inward. Therefore, early detection of pneumonia in children under five is very necessary in order to be able to prevent and cope with the disease into a serious stage as the purpose of this study is to diagnose pneumonia in toddlers using data mining classification, the naïve Bayes algorithm. Of the 118 cases consisting of 113 cases of patients diagnosed with pneumonia and 5 cases of patients who were not diagnosed with pneumonia, an accuracy value of 98% was obtained, so it can be interpreted that the naïve bayes algorithm has a good correlation with the attributes contained in the dataset.

• Katakunci Naïve Bayes Algorithm, Pneumonia.
• URL http://klik.ulm.ac.id/index.php/klik/article/view/202
• Penerbit Sekolah Tinggi Pariwisata AMPTA, Yogjakarta Jawa Tengah

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