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All Journal Global Medical and Health Communication Oto Rhino Laryngologica Indonesiana Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Jurnal Sosial dan Teknologi
Yusuf, Prasandhya Astagiri
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Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Dentistry Education Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health

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Effectiveness of Machine Learning for COVID-19 Patient Mortality Prediction Using WEKA Khuluq, Husnul; Yusuf, Prasandhya Astagiri; Perwitasari, Dyah Aryani
Global Medical & Health Communication (GMHC) Vol 11, No 3 (2023)
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/gmhc.v11i3.12119

Abstract

Timely detection of patients with a high mortality risk in coronavirus disease 2019 (COVID-19) can substantially improve triage, bed allocation, time reduction, and potential outcomes. A potential solution is using machine learning (ML) algorithms to predict mortality in COVID-19 hospitalized patients. The study's objective was to create and verify individual risk assessments for mortality using anonymous demographic, clinical, and laboratory findings at admission, as well as to assess the possibility of death using machine learning. We used a standardized format and electronic medical records. Data from 2,313 patients were collected from two Muhammadiyah hospitals from January 2020 to July 2022. Utilizing each patient's clinical manifestation state at admission and laboratory parameters, 24 demographic, clinical, and laboratory results were studied. The algorithms analyzed were AdaBoost, logistic regression, random forest, support vector machine, naïve Bayes, and decision tree, which were applied through WEKA version 3.8.6. Random forest performed better than the other machine learning techniques, with precision, sensitivity, receiver operating characteristic (ROC), and accuracy of 78.6%, 78.7%, 85%, and 78.65%, respectively. The three top predictors were septic shock (OR=21.518, 95% CI=4.933–93.853), respiratory failure (OR=15.503, 95% CI=8.507–28.254), and D-dimer (OR=3.288, 95% CI=2.510–4.306). Machine learning–based predictive models, especially the random forest algorithm, may make it easier to identify patients at high risk of death and guide physicians' appropriate interventions.
Filtration effectiveness of N95 medical mask exposed to repeated ultraviolet germicidal irradiation room Restuti, Ratna Dwi; Priyono, Harim; Mariska, Tara Candida; Cahyono, Arie; Bramantyo, Brastho; Soemarko, Dewi S.; Yusuf, Prasandhya Astagiri; Arman, Fitri; Prihartanto, Joedo
Oto Rhino Laryngologica Indonesiana Vol. 52 No. 2 (2022): VOLUME 52, NO. 2 JULY - DECEMBER 2022
Publisher : PERHATI-KL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32637/orli.v52i2.581

Abstract

ABSTRACTBackground: The global Coronavirus disease (COVID-19) pandemic has created shortages of personal protective equipment (PPE) including N95 respirator medical masks. Ultraviolet Germicidal Irradiation (UVGI) is an effective way for disinfection of N95 masks before reuse. The UVGI chamber is an effective method of disinfection against SARS-CoV-2, however its effect on the N95 medical masks filtration ability is still uncertain. Purpose: To evaluate filtration effectiveness of N95 mask after repeated UV-C irradiation in the UVGI chamber. Method: This was a parallel two-group experimental study to see the effect of repeated UVGI exposure on the filtration of 2 types of N95 medical masks (type 8210 and 1860), with 25 pieces each group, using an aerosol particle counter, after 10 cycles of repeated UVGI exposure in the UVGI chamber of the ORL-HNS Department Dr. Cipto Mangunkusumo Hospital. Result: There were no significant differences in the filtration effectiveness of N95 medical masks after repeated UVGI exposure up to 10 cycles for 2 types of N95 masks and there was no significant change in the filtration ability of the N95 medical masks after repeated UVGI exposure. Conclusion: The filtration of N95 medical masks type 8210 and 1860 filtration were maintained >95% after repeated UVGI exposure with cumulative dose of 10,126-16.200 mJ/cm2 in UVGI chamber of ORL-HNS Department, Dr. Cipto Mangunkusumo Hospital. ABSTRAKLatar belakang: Pandemi Coronavirus disease 2019 (COVID-19) menyebabkan keterbatasan tersedianya alat pelindung diri (APD) termasuk masker respirator N95. Ultraviolet Germicidal Irradiation (UVGI) merupakan salah satu cara desinfeksi yang menjanjikan dan efektif, sehingga masker N95 dapat digunakan kembali. Bilik UVGI merupakan metode yang efektif dalam disinfeksi terhadap SARS-CoV-2, namun efek paparan UVGI terhadap kemampuan filtrasi masker N95 belum diketahui. Tujuan: Untuk mengevaluasi efektivitas filtrasi masker N95 setelah paparan UV-C berulang di Bilik UVGI. Metode: Penelitian ini adalah studi ekperimental dua kelompok paralel untuk melihat efek paparan UVGI berulang terhadap filtrasi 2 tipe masker N95 (tipe 8210 dan 1860) sebanyak 25 masker di setiap grup, menggunakan aerosol particle counter setelah paparan UVGI berulang sebanyak 10 siklus di Bilik UVGI Departemen THT-KL RSCM. Hasil: Tidak didapatkan perbedaan bermakna pada masker N95 pasca-paparan UVGI berulang sebanyak 10 siklus dengan rerata filtrasi pada 2 tipe masker, serta tidak terdapat perubahan signifikan kemampuan filtrasi masker N95 pasca-paparan UVGI berulang. Kesimpulan: Filtrasi masker N95 pada penelitian ini dapat dipertahankan 95% pasca-paparan UVGI berulang hingga dosis kumulatif 10.126˗16.200 mJ/cm2 di bilik UVGI Departemen THT-KL RSCM. 
Analysis of TongueFit’s Usability Issues Using User Experience Method Wardhani, Rizky Kusuma ; Wahyuni, Luh Karunia; Yusuf, Prasandhya Astagiri; Kekalih, Aria; Kusumaningsih, Widjajalaksmi
Jurnal Sosial Teknologi Vol. 5 No. 5 (2025): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v5i5.32072

Abstract

TongueFit designed to address the challenges of managing oral dysphagia in children. Integrating technology into rehabilitation has shown promise in enhancing therapeutic outcomes. Usability testing involving end-users is essential to ensure effectiveness and satisfaction. This research aims to evaluate usability issues of the prototype orofacial manometer, Tonguefit using user experience method. The assessment used a questionnaire modified from Baharum et al that was translated into Bahasa. To ensure face validity, the questionnaire was given to 3 users, who were required to evaluate the items with respect to ambiguity and understandability. Fleiss Kappa Index was used to determine the face validity. For user experience, 20 users who met the inclusion criteria were required. They were asked to assess the usability issue using the questionnaire. Data was transposed  and analyzed using User Experience Questionnaire methodology. All reviewers of the instrument have had equal agreement and the questionnaire is clear and suitable to collect data (FKI 0.792). Based  on  the  results  of  the user  experience, the  2  variables  obtained positive  evaluation  values,  namely  the  Perceived Usefulness (mean  1.35) and  Continuance Intention (mean 0.83). The highest evaluation value was on the Perceived Usefulness variable, while the lowest value was on the Interface Quality (mean 0.09). However, there is still potential for improvement to meet the desired standards of excellence. User feedback and suggestions have been instrumental in identifying areas for improvement. Tonguefit demonstrates strong perceived usefulness and continuance intention, while other areas require development to improve overall user satisfaction.
Efektivitas Kamar Ultraviolet Germicidal Irradiation (UVGI) Rumah Sakit Cipto Mangunkusumo untuk Disinfeksi Respirator N95 di Pandemi COVID-19: Studi Pendahuluan Restuti, Ratna Dwi; Priyono, Harim; Saleh, Rangga Rayendra; Sriyana, Ayu Astria; Yusuf, Prasandhya Astagiri; Airlangga, Tri Juda; Prayitno, Ari; Sitohang, Gortap; Arman, Fitri; Priyanto, Suko Dwi
Majalah Kedokteran Indonesia Vol 72 No 1 (2022): Journal of The Indonesian Medical Association - Majalah Kedokteran Indonesia, Vo
Publisher : PENGURUS BESAR IKATAN DOKTER INDONESIA (PB IDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47830/jinma-vol.72.1-2022-583

Abstract

Introduction: During the COVID-19 pandemic, where the disease might spread in a medical facility setting, the common problems found in every country is the shortage of personal protective equipment (PPE) for medical personnel – especially the disposable N95 respirators. Thus, a higher amplitude to disinfect and reuse N95 is urgently needed. In this study, we designed an effective and safe disinfection methods through an Ultraviolet Germicidal Irradiation (UVGI) chamber in Dr. Cipto Mangunkusumo Hospital to control the shortage of PPE by disinfecting and reusing disposable N95 respirators. Purpose: To evaluate the dosage and effectiveness of UV-C radiation for disposable N95 respirators disinfection in our designated UVGI chamber. Methods: This study used a cross-sectional design to determine the dose and the effectiveness of UV-C radiation in eradicating SARS-CoV 2 on disposable N95 respirators. Results: Using two different distances from the light source, we confirmed the inverse square law of UV-C radiation power. Irradiation for 2 hours with a radiation dose of 1080 mJ/cm2 resulted in undetected SARS-CoV-2 gene based on PCR examination in 10 out of 10 samples. Conclusion: This UVGI chamber is a potential solution for hospitals or medical facilities to overcome the limitations that occurred in the pandemic by disinfecting PPE.
Co-Authors Airlangga, Tri Juda Ari Prayitno, Ari Aria Kekalih Arman, Fitri Brastho Bramantyo Cahyono, Arie Dewi Sumaryani Soemarko Dyah Aryani Perwitasari Khuluq, Husnul Luh Karunia Wahyuni, Luh Karunia Mariska, Tara Candida Prihartanto, Joedo Priyanto, Suko Dwi Priyono, Harim Restuti, Ratna Dwi Saleh, Rangga Rayendra Sitohang, Gortap Sriyana, Ayu Astria Wardhani, Rizky Kusuma  Widjajalaksmi Kusumaningsih, Widjajalaksmi