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http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5461Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bob Subhan, Riza | - |
| dc.date.accessioned | 2023-01-07T07:18:12Z | - |
| dc.date.available | 2023-01-07T07:18:12Z | - |
| dc.date.issued | 2022-05-13 | - |
| dc.identifier.issn | 2460-7258 | - |
| dc.identifier.uri | http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5461 | - |
| dc.description | Tuberculosis is a life-threatening infectious disease worldwide caused by the bacterium Mycobacterium tuberculosis. These bacteria are in the form of acid-fast bacilli or often called acid-fast bacilli (AFB). This bacillus measuring 1-4 m long and 0.3-0.56 m wide, as shown in Figure 1, is not spore-forming, non-motile, and facultative. Bacterial cell walls contain long-chain glycolipids that are mycolic and rich in acids and phosphopoglycans [1][2][3]. Tuberculosis (TB) is a chronic and infectious disease that affects the world's human population and requires complex treatment. It is a public health problem with more than 9 million estimated new cases and 1.5 million deaths annually worldwide [4]. Of the estimated 9 million people who contracted TB in 2013, more than 80% were in Southeast Asia, the Western Pacific, and Africa. The majority of the infected population comes from poor and marginalized communities with weak health services infrastructure[5]. Tuberculosis can affect every human being regardless of region. Usually, the ones who develop this disease are adults, with 30 countries affected by Tuberculosis where almost 90% of those affected fall ill. Those of productive age are susceptible to TB between 15 to 50 years and children. TB usually comes out through phlegm and coughing. If the saliva is scattered at low temperatures, the possibility for germs to survive will be long enough to allow the transmission process to occur. There are two types of Tuberculosis, namely Tuberculosis Pulmonary (TBP) and Tuberculosis Extra Pulmonary (TBEP). TBP affects the lungs, whereas TBEP can affect any organ of the body except the spine, heart, pancreas, skeletal muscle, and thyroid. So far, to detect Tuberculosis Extra Pulmonary (TBEP) through a biopsy, namely by taking fluid from a person's lymph nodes which a doctor or health analyst will detect, then placed on the preparation and viewed through a microscope for readings on the preparation to see the presence of germs or tuberculosis bacilli. Noticing what is happening will take a long time because the liquid preparations are viewed under the microscope carefully, and the liquid preparations contain 150 fields of vision[6]. Tuberculosis Extra Pulmonary can cause complications. Based on this, we need a system for good reporting and recording for TB control [7]. | en_US |
| dc.description.abstract | Tuberkulosis Ekstra Paru (TBEP) adalah salah satu penyakit menular yang disebabkan oleh bakteri Mycobacterium Tuberculosis dan dapat menyebabkan kematian. Pasien yang menderita penyakit ini harus cepat diobati tanpa menunggu waktu yang lama. Saat ini, setiap orang yang akan dideteksi penyakit akibat bakteri ini membutuhkan waktu yang lama dan biaya besar. Biopsi merupakan salah satu teknik yang digunakan dalam mengambil cairan pada paruparu dan diluar paru pasien. Cairan ini diberi pewarnaan kimiawi Ziehl Neelsen selanjutnya dilakukan pemeriksaan menggunakan mikroskop untuk mengidentifikasi penyakit Tuberkulosis. Penelitian ini bertujuan membantu mendeteksi bakteri dengan cepat dan tepat dengan melakukan pengolahan citra berbantu komputer dengan membuat sebuah sistem aplikasi. Teknik yang digunakan adalah melakukan pengembangan terhadap metode segmentasi. Penelitian ini diawali dengan melakukan transformasi ruang warna HSV (Hue Saturation Value) dimana Kelebihan menggunakan ruang warna HSV adalah terdapat warna-warna yang sama dengan yang dicapture oleh indera manusia. Proses segmentasi yang dilakukan adalah mengembangkan dengan teknik K-Means dan Otsu Thresholding. Dari hasil kedua metode yang digunakan ternyata metode Otsu Thresholding yang dapat mendeteksi basil TBEP dengan tingkat akurasi yang lebih baik dari metode K-Means. Sehingga metode yang dikembangkan ini sangat membantu dalam mempercepat dan meminimalisasi biaya untuk mendeteksi TBEP. | en_US |
| dc.publisher | IJCCS (Indonesian Journal of Computing and Cybernetics Systems) | en_US |
| dc.relation.ispartofseries | Vol.16;227~238 | - |
| dc.subject | Tuberkulosis Ekstra Paru, K-Means, Otsu Thresholding, Hue Saturation Value (HSV), Segmentasi. | en_US |
| dc.title | Comparison of K-Means Clustering and Otsu Thresholding Methods in the Detection of Tuberculosis Extra Pulmonary Bacilli in the HSV Color Space | en_US |
| dc.type | Other | en_US |
| Appears in Collections: | Untitled | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1. Paper _Comparison of K-Means Clustering and Otsu Thresholding Methods in the Detection.pdf | 1.2 MB | Adobe PDF | View/Open |
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