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All Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Respirologi Indonesia Jurnal Respirasi (JR) Indonesian Journal of Electrical Engineering and Computer Science Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Indonesian Journal of Global Health research
Budi Yanti
Department Of Pulmonology And Respiratory Medicine, Faculty Of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Agriculture, Biological Sciences & Forestry Arts Humanities Education Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Enhanced detection of chronic obstructive pulmonary disease via exhaled breath analysis: internet of things and electronic nose system Nur Hidayah Naimah Harahap; Budi Yanti; Muhammad Ilham; Muhammad Suhaili; Dzakiroh Mufidah Hasibuan; Farah Narizki
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i3.pp875-883

Abstract

Chronic obstructive pulmonary disease (COPD) remains a major global health burden, highlighting the need for accessible, non-invasive screening tools. This study aims to develop a portable, real-time internet of things (IoT)-integrated electronic nose (e-nose) system for COPD detection using exhaled volatile organic compounds (VOCs). Breath samples from 44 participants (healthy, smokers, and COPD) were analyzed using a MOS based e-nose, and four machine-learning classifiers were evaluated. Data were processed through cloud-based pipelines enabling real-time acquisition and automated analysis. The random forest (RF) model achieved the highest performance (accuracy 86%) in distinguishing COPD-related VOC patterns. This approach overcomes limitations of earlier offline Tedlar-bag methods by enabling direct, real-time breath analysis. The prototype dashboard provides immediate visualization for potential remote monitoring. Key limitations include the small sample size and non-standardized breath sampling, which may affect VOC variability. Overall, this work contributes a cost-effective, portable, IoT-enabled framework demonstrating the feasibility of real-time VOC analysis for early COPD screening and future integration into telehealth and community-based diagnostics.
The Impact of Chest Therapy on Symptoms Relief and Pulmonary Function in Chronic Obstructive Pulmonary Disease Exacerbations Nurrahmah Yusuf; Yuris Hikman Karunia; Irmaini Irmaini; Yunita Arliny; Budi Yanti
Indonesian Journal of Global Health Research Vol 7 No 1 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i1.4998

Abstract

Chronic Obstructive Pulmonary Disease (COPD) is a global health concern defined by persistent respiratory symptoms and irreversible airflow blockage. Excess mucus production and decreased ciliary function in mucus elimination are two of the most common issues among COPD patients. Chest therapy is a physiotherapy practice that helps to remove mucus in a variety of acute and chronic respiratory illnesses. Objective: The study aims to explore how chest treatment affects symptoms and lung function in patients with COPD exacerbations. Methods: This study employed a one-group pretest-posttest design, selecting a sample of 30 COPD exacerbation patients from dr. Zainoel Abidin Hospital through convenience sampling technique. Chest therapy was administered consecutively over six days. Pulmonary function was assessed with a peak flow meter, while symptom improvement was assessed through the BORG questionnaire, Modified Medical Research Council (mMRC) scale, and COPD Assessment Test (CAT). Data analysis was performed using the paired T-test and Wilcoxon test. Results: Chest therapy increased average peak expiratory flow (PEF) by 6.40 L/min, from 29.20 ± 6.26 L/min to 35.60 ± 7.65 L/min. BORG scale scores were likewise reduced, with the majority shifting from scale 4 (56.7%) to scale 2 (40%), as were mMRC scores, which decreased from a dominant scale 3 (40%) to scale 2 (33.3%). Furthermore, CAT scores shifted from the high category (76.7%) to the moderate category (53.3%). Bivariate tests revealed that chest therapy had a significant effect on rising PEF values (P<0.001), decreasing BORG scale scores (P<0.001), and decreasing CAT scores (P = 0.001), but no significant effect was seen on the mMRC scale (P = 0.564). Conclusions: Chest therapy positively impacts lung function, as shown by increased peak expiratory flow (PEF) values and improved clinical symptoms of COPD exacerbation, as measured by BORG and CAT scale scores.
Co-Authors Aamir Shehzad Cut Dian Nurani Teo Debby Sofiana Dzakiroh Mufidah Hasibuan Eko Mulyadi Farah Narizki Herry Priyanto Iflan Nauval Irmaini Irmaini Mauliza Mauliza Mauliza Mauliza Muhammad Amin Muhammad Ilham Muhammad Suhaili Mulkan Azhar Ni Made Mertaniasih Novita Andayani Nur Hidayah Naimah Harahap Nurrahmah Yusuf SOETJIPTO . T Zulfikar Yunita Arliny Yuris Hikman Karunia