Pramudya, Fabryzal Adam (2022) Implementasi Algoritma Naïve Bayes Untuk Klasifikasi Bakteri Penyebab Infeksi Saluran Pernapasan Akut (ISPA). Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
Acute Respiratory Infections or better known as ARI is a respiratory tract infection caused by viruses or bacteria. ARI is a big threat to developing countries, such as Indonesia. In 2019 there was an increase in the coverage of pneumonia sufferers by 50% on a national scale. Achievement of performance indicators of infectious disease control and management programs, namely discovery, treatment and treatment success. Diagnostic examination of the disease can be done by looking at clinical complaints/symptoms, culture examination, microscopic examination, radiological and tuberculin tests. On examination the results will be better, but the examination time usually takes too long due to the limited ability of the researchers. a system that can identify the type of bacteria that causes Acute Respiratory Tract Infection (ARI) using Naïve Bayes using 4 parameters of shape feature extraction, namely the number of objects, area, circumference, and shapefactor. The results of the classification system for identification of bacteria that cause ARI found the highest accuracy was 97.368%.
| Item Type: | Thesis (Undergraduate) | ||||||
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| Uncontrolled Keywords: | Bacteria,Acute Respiratory Infection,Image Processing,Naïve Bayes | ||||||
| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika | ||||||
| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Fabryzal Adam Pramudya | ||||||
| Date Deposited: | 05 Jul 2022 07:27 | ||||||
| Last Modified: | 05 Jul 2022 07:27 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/13191 |
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