Fredy Aryo Saputro, . (2021) DETEKSI PENYAKIT COVID-19 PADA CITRA RONTGENT THORAX MENGGUNAKAN BACKPROPAGATION. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
AWAL.pdf Download (1MB) |
|
Text
ABSTRAK.pdf Download (151kB) |
|
Text
BAB 1.pdf Download (46kB) |
|
Text
BAB 2.pdf Restricted to Repository UPNVJ Only Download (270kB) |
|
Text
BAB 3.pdf Restricted to Repository UPNVJ Only Download (151kB) |
|
Text
BAB 4.pdf Restricted to Repository UPNVJ Only Download (412kB) |
|
Text
BAB 5.pdf Download (31kB) |
|
Text
Daftar Pustaka.pdf Download (35kB) |
|
Text
DAFTAR RIWAYAT HIDUP.pdf Restricted to Repository staff only Download (266kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository staff only Download (257kB) |
Abstract
The pandemic of the spread of the Covid-19 virus that has occurred throughout the world has overwhelmed many countries, including Indonesia. With this incident, the medical personnel will have to work harder in this viral environment. Examination of this virus using the PCR method and the Rapid Test takes time to get the results of the examination. The increasing number of patients simultaneously experiencing these symptoms makes it difficult and makes treatment time by medical personnel longer. In addition to PCR and Rapid Test, the supporting methods for examining this disease are the chest x-ray where the lungs of the unexpected patient who are exposed to the virus can be seen from the X-ray and shorten the suspicion that the patient is exposed so that immediate treatment can be done based on the results of the chest X-ray. The use of backpropagation where later you will wait for abnormalities from unhealthy and sick photos. The hope is that the use of backpropagation will make it easier for medical personnel, lighten the workload, and shorten the time for further treatment based on chest x�rays from patients in the ER.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1410511062] [Pembimbing 1: Yuni Widiastiwi] [Pembimbing 2: Mayanda Mega Santoni] [Penguji 1: Iin Ernawati] [Penguji 2: Ati Zaidiah] |
| Uncontrolled Keywords: | Covid 19, Rontgent Thorax, Backpropagation |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Fredy Aryo Saputro |
| Date Deposited: | 02 Jun 2022 00:26 |
| Last Modified: | 06 Oct 2023 06:56 |
| URI: | http://repository.upnvj.ac.id/id/eprint/17829 |
Actions (login required)
 |
View Item |