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All Journal Jurnal Kedokteran Syiah Kuala Placentum: Jurnal Ilmiah Kesehatan dan Aplikasinya
Budi Yanti
Syiah Kuala University
Health Professions Medicine & Pharmacology Nursing Public Health

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Perbedaan uji diagnostik antigen, antibodi, RT-PCR dan tes cepat molekuler pada Coronavirus Disease 2019 Budi Yanti; Fitri Dewi Ismida; Klarina Elsa Siti Sarah
Jurnal Kedokteran Syiah Kuala Vol 20, No 3 (2020): Volume 20 Nomor 3 Desember 2020
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jks.v20i3.18719

Abstract

Coronavirus Disease 2019 (COVID-19) merupakan jenis penyakit baru yang teridentifikasi pada manusia. Virus penyebab COVID-19 ini dinamakan SARS-CoV-2. Angka mortalitas yang disebabkan oleh SARS-COV-2 (3,8%), hal ini lebih rendah dari angka mortalitas yang disebabkan oleh infeksi coronavirus sebelumnya, yaitu SARS-COV (10%) dan MERS-COV (37,1%). Namun, angka penularan dari SARS-COV-2 jauh lebih tinggi, yaitu 10 kali lipat bersifat lebih infeksius. Hal ini dapat dijadikan sebagai penjelasan penyebab dari mewabahnya virus yang terjadi secara mendadak. Infeksi SARS-COV-2 terjadi melalui droplets, kontak dengan cairan tubuh pasien yang terinfeksi, benda-benda yang terkontaminasi. COVID-19 dapat menimbulkan tanda dan gejala yang bervariasi. (WHO-2019-nCOV) Infeksi ini dapat menyebabkan gejala ISPA ringan hingga berat bahkan sampai terjadi Acute Respiratory Distress Syndrome (ARDS), sepsis dan syok septik. Dalam melakukan diagnosis diperlukannya pemeriksaan yang memiliki tingkat sensitifitas dan spesifisitas yang tinggi. Pemeriksaan penunjang yang dilakukan mencakup pemeriksaan radiologis, dan pemeriksaan laboratorium (uji antigen, antobodi, serologi dan molekuler). Dalam referat ini akan dibahas mengenai beberapa pemeriksaan diagnostik yang umum dilakukan saat ini, yaitu rapid test antigen, rapid test antibodi, ELISA, RT-PCR dan Tes Cepat Molekuler. Setiap pemeriksaan memiliki kelebihan dan kekurangannya masing-masing. Namun pemeriksaan baku emas dalam mendiagnosis COVID-19 tetap menggunakan RT-PCR.
PRIMARY MEDIASTINAL YOLK SAC TUMOR: A RARE CASE Fitri Dewi Ismida; Budi Yanti
PLACENTUM: Jurnal Ilmiah Kesehatan dan Aplikasinya Vol 9, No 1 (2021): February
Publisher : Program Studi Kebidanan Fakultas Kedokteran Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/placentum.v9i1.48155

Abstract

Background. Yolk sac tumor is a subtype of germ cell tumor which is highly malignant. Mediastinal Yolk sac tumor is also an extragonadal germ cell tumor which is extremely rare and is common in children and young adults. We report a case of a Yolk Sac Tumor in the anterior mediastinum in a 21-year-old male patient.Case. A case of Yolk Sac Tumor in a 21-year-old man with complaints of shortness of breath and chest pain experienced for ± 2 weeks. The CT scan showed the soft tissue with high-density thorax in the anterior mediastinum. The Levels of Alpha Feto Protein (AFP) 2,000 ng / mL and Beta-Human Chorionic Gonadotropin (B-HCG) 1.20 mIU / mL. Macroscopically, it appears brownish-gray tissue with a volume of 0.5 ccs. Typical histopathological examination reveals a Yolk Sac tumor.Conclusion. Yolk Sac Tumor as a Mediastinal primary tumor is a rare tumor. The diagnosis must be made not only based on histopathological examination but also based on the patient's age and elevated serum alpha-fetoprotein (AFP) and Beta-Human Chorionic Gonadotropin (B-HCG). Despite there is modern chemotherapy, the prognosis for these tumors is highly poor.Keywords . Yolk sac tumor, mediastinum, germ cell.
DESIGN OF WHEEZING SOUND DETECTION WEARABLE DEVICE BASED ON INTERNET OF THINGS Budi Yanti
PLACENTUM: Jurnal Ilmiah Kesehatan dan Aplikasinya Vol 10, No 2 (2022): August
Publisher : Program Studi Kebidanan Fakultas Kedokteran Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/placentum.v10i2.63004

Abstract

Introduction: Wheezing is one of the most common manifestations of airway obstruction.  The use of a stethoscope in the wheezing examination has several disadvantages such as subjective results  and depends on  the auditor's  hearing sensitivity.  So an easy device is needed that helps determine the wheezing  sound precisely.  This study assembled a single tool to detect wheezing  sounds based on the internet of things.Method: This tool is designed with a microprocessor hardware connected to  an electric stethoscope so that it can be attached to the patient's chest  wall.  Collection of chest breathing voice data  accessed on kaggle.com.  The creation of algorithms with Convolutional Neural Networks (CNN)  was later changed to Mel Frequency Cepstral Coefficients (MFCC). This model  will be implanted in a microprocessor and use python  language to  be able to record  the sound of chest  wall vibrations.  The recorded sound is converted into MFCC  to make it easier to perform   wheezing sound detection.  MFCC image results and  detection results are sent to the database via  the firebase database feature which stores MFCC  photos in real-time as they are detected.  Designing android application software using Flutter   builds communication between android  applications and firebase databases that allows applications to  retrieve MFCC  images as the final result. Result: The results of  the tool trial on five volunteers, three exacerbation asthma patients and two healthy people  showed the device can detect wheezing  sounds at a frequency of  400Hz with 80%  accuracy through CNN and MFCC  algorithms  Internet of things based.Conclusion: This tool can help health workers  to accurately determine wheezing   sounds, enforce the diagnosis   faster, the prognosis of the disease to be  better, so as to  reduce the number  morbidity and mortality of diseases with airway abnormalities in Indonesia 
Co-Authors Fitri Dewi Ismida Klarina Elsa Siti Sarah