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Papers by Dhuny Atas Asri

Research paper thumbnail of IoT-based COVID-19 Patient Vital Sign Monitoring

2021 IEEE 5th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)

The number of COVID-19 cases is growing rapidly, while there is not enough healthcare workers whi... more The number of COVID-19 cases is growing rapidly, while there is not enough healthcare workers which can help the patients. Even worse, the highly contagious nature of this disease, requires the medical staff to be more restrictive and wear the Personal Protective Equipment (PPE) all the time when handling the patients directly. In this situation, a remote system which can monitor patient progress from a distant is inevitable. The emerge of Internet of Thing (IoT) technology has been implemented in many domain. The availability of smart technology, where almost all devices around us has connectivity to the internet, allow people to automate process from distance. The implementation of IoT has also been shown very helpful in medical domain, especially during the pandemics. The IoT technology can be a suitable solution for monitoring patients with a highly contagious disease. The technology can also be very helpful for people who live far from healthcare facility. This can allow people to report immediately and even connect to the hospital system in real-time. In this paper, we propose the use of three different sensors, namely: heart-rate and pulse oximeter sensor (MAX30102), temperature sensor(DS18b20) and accelerometer sensor, which is integrated in a web-based early warning monitoring system for COVID-19 patients.

Research paper thumbnail of Comparison of Acid Fast Bacilli Smear Microscopy Examination and Xpert MTB/RIF for the Diagnosis of Pulmonary Tuberculosis in Diabetes Mellitus Patients

Comparison of Acid Fast Bacilli Smear Microscopy Examination and Xpert MTB/RIF for the Diagnosis of Pulmonary Tuberculosis in Diabetes Mellitus Patients

The FASEB Journal, 2015

People with diabetes mellitus (DM) have 2-3 times the risk of developing tuberculosis (TB). It ha... more People with diabetes mellitus (DM) have 2-3 times the risk of developing tuberculosis (TB). It has been previously reported (Pablos-Mendez et al) that only poorly controlled or uncontrolled DM is associated with an increased risk of TB. The main objective of this study was to determine the sensitivity and specificity of Acid Fast Bacilli (AFB) smear and Xpert MTB/RIF for the diagnosis of TB in DM patients. This study was a cross-sectional descriptive analytic study in patients with DM who underwent treatment at Persahabatan Hospital in 2014. The study was conducted in the Pulmonary and Internal Medicine clinics. Samples were collected from 57 patients with 2 samples excluded due to proven AFB smear but not checked by Xpert MTB/RIF. Among 55 patients, there were 32 males (58.2%) and 23 females (41.8%).The blood sugar ranged between 110-481 g/dl with a mean of 244.8 ± 98.5 g/dl. HbA1c values were between 5.3-17.7 with a mean of 9.83 ± 3,00. 41 patients (74.5%) had no previous history ...

Research paper thumbnail of Stigmatization, Dishonest Patients, and Challenges of Diagnosing COVID-19: A Review of Physician-Patient Communication in Indonesia

Stigmatization, Dishonest Patients, and Challenges of Diagnosing COVID-19: A Review of Physician-Patient Communication in Indonesia

Research paper thumbnail of A Tree-based Mortality Prediction Model of COVID-19 from Routine Blood Samples

A Tree-based Mortality Prediction Model of COVID-19 from Routine Blood Samples

2021 International Conference on ICT for Smart Society (ICISS)

Research paper thumbnail of IoT-based COVID-19 Patient Vital Sign Monitoring

2021 IEEE 5th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)

The number of COVID-19 cases is growing rapidly, while there is not enough healthcare workers whi... more The number of COVID-19 cases is growing rapidly, while there is not enough healthcare workers which can help the patients. Even worse, the highly contagious nature of this disease, requires the medical staff to be more restrictive and wear the Personal Protective Equipment (PPE) all the time when handling the patients directly. In this situation, a remote system which can monitor patient progress from a distant is inevitable. The emerge of Internet of Thing (IoT) technology has been implemented in many domain. The availability of smart technology, where almost all devices around us has connectivity to the internet, allow people to automate process from distance. The implementation of IoT has also been shown very helpful in medical domain, especially during the pandemics. The IoT technology can be a suitable solution for monitoring patients with a highly contagious disease. The technology can also be very helpful for people who live far from healthcare facility. This can allow people to report immediately and even connect to the hospital system in real-time. In this paper, we propose the use of three different sensors, namely: heart-rate and pulse oximeter sensor (MAX30102), temperature sensor(DS18b20) and accelerometer sensor, which is integrated in a web-based early warning monitoring system for COVID-19 patients.

Research paper thumbnail of Comparison of Acid Fast Bacilli Smear Microscopy Examination and Xpert MTB/RIF for the Diagnosis of Pulmonary Tuberculosis in Diabetes Mellitus Patients

Comparison of Acid Fast Bacilli Smear Microscopy Examination and Xpert MTB/RIF for the Diagnosis of Pulmonary Tuberculosis in Diabetes Mellitus Patients

The FASEB Journal, 2015

People with diabetes mellitus (DM) have 2-3 times the risk of developing tuberculosis (TB). It ha... more People with diabetes mellitus (DM) have 2-3 times the risk of developing tuberculosis (TB). It has been previously reported (Pablos-Mendez et al) that only poorly controlled or uncontrolled DM is associated with an increased risk of TB. The main objective of this study was to determine the sensitivity and specificity of Acid Fast Bacilli (AFB) smear and Xpert MTB/RIF for the diagnosis of TB in DM patients. This study was a cross-sectional descriptive analytic study in patients with DM who underwent treatment at Persahabatan Hospital in 2014. The study was conducted in the Pulmonary and Internal Medicine clinics. Samples were collected from 57 patients with 2 samples excluded due to proven AFB smear but not checked by Xpert MTB/RIF. Among 55 patients, there were 32 males (58.2%) and 23 females (41.8%).The blood sugar ranged between 110-481 g/dl with a mean of 244.8 ± 98.5 g/dl. HbA1c values were between 5.3-17.7 with a mean of 9.83 ± 3,00. 41 patients (74.5%) had no previous history ...

Research paper thumbnail of Stigmatization, Dishonest Patients, and Challenges of Diagnosing COVID-19: A Review of Physician-Patient Communication in Indonesia

Stigmatization, Dishonest Patients, and Challenges of Diagnosing COVID-19: A Review of Physician-Patient Communication in Indonesia

Research paper thumbnail of A Tree-based Mortality Prediction Model of COVID-19 from Routine Blood Samples

A Tree-based Mortality Prediction Model of COVID-19 from Routine Blood Samples

2021 International Conference on ICT for Smart Society (ICISS)

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