Analisis Pola Spirometri Manusia Menggunakan Spirometer Berbasis Arduino Mega 2560 Sebagai Potensi Screening Dini Gangguan Paru

Kusuma, Laurensius Theofilus (2026) Analisis Pola Spirometri Manusia Menggunakan Spirometer Berbasis Arduino Mega 2560 Sebagai Potensi Screening Dini Gangguan Paru. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Gangguan fungsi paru merupakan salah satu masalah kesehatan yang dapat menurunkan kualitas hidup apabila tidak terdeteksi sejak dini. Spirometri merupakan metode pemeriksaan fungsi paru yang digunakan untuk mengukur kemampuan ventilasi paru melalui parameter Forced Vital Capacity (FVC), Forced Expiratory Volume in One Second (FEV₁), rasio FEV₁/FVC, dan Peak Expiratory Flow (PEF). Keterbatasan ketersediaan spirometer standar di beberapa fasilitas pelayanan kesehatan mendorong pengembangan alat alternatif yang lebih sederhana dan ekonomis. Penelitian ini bertujuan untuk menganalisis pola spirometri manusia menggunakan spirometer berbasis Arduino Mega 2560 serta mengevaluasi potensinya sebagai alat screening dini gangguan fungsi paru. Penelitian ini menggunakan metode eksperimen dengan memanfaatkan sensor aliran udara yang terhubung pada Arduino Mega 2560 untuk mengukur laju aliran dan volume udara ekspirasi. Data hasil pengukuran dari responden diolah untuk memperoleh nilai FVC, FEV₁, rasio FEV₁/FVC, dan PEF, kemudian divisualisasikan dalam kurva Volume–Time dan Flow–Volume. Hasil pengukuran selanjutnya dibandingkan dengan spirometer standar sebagai acuan untuk menilai tingkat kesesuaian pengukuran. Hasil penelitian menunjukkan bahwa alat yang dikembangkan mampu mengukur parameter spirometri utama dan menghasilkan pola kurva yang sesuai dengan karakteristik pemeriksaan spirometri. Meskipun masih terdapat perbedaan hasil pengukuran dibandingkan alat referensi akibat karakteristik sensor, kondisi pengujian, dan teknik ekspirasi responden, alat ini menunjukkan potensi sebagai media screening awal gangguan fungsi paru. Pengembangan lebih lanjut pada aspek akurasi, kalibrasi, dan validasi klinis diperlukan agar alat dapat digunakan secara lebih luas dalam bidang kesehatan.
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Pulmonary function disorders are among the major health problems that may reduce quality of life if not detected at an early stage. Spirometry is a pulmonary function test used to evaluate lung ventilation by measuring Forced Vital Capacity (FVC), Forced Expiratory Volume in One Second (FEV₁), the FEV₁/FVC ratio, and Peak Expiratory Flow (PEF). The limited availability of conventional spirometers in several healthcare facilities has encouraged the development of simpler and more affordable alternatives. This study aims to analyze human spirometry patterns using an Arduino Mega 2560-based spirometer and evaluate its potential as an early screening tool for pulmonary function disorders. An experimental method was employed using an airflow sensor integrated with an Arduino Mega 2560 to measure expiratory airflow and lung volume. The collected data were processed to obtain FVC, FEV₁, FEV₁/FVC ratio, and PEF values, which were then presented as Volume–Time and Flow–Volume curves. The measurement results were compared with those obtained from a standard spirometer to evaluate the agreement between both instruments. The results indicate that the developed device is capable of measuring the primary spirometric parameters and generating characteristic spirometry curves. Although measurement differences were observed compared with the reference spirometer due to sensor characteristics, testing conditions, and participants' expiratory techniques, the device demonstrated potential as a preliminary screening tool for pulmonary function disorders. Further improvements in measurement accuracy, calibration, and clinical validation are required before wider implementation in healthcare settings.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Spirometri, FVC, FEV1, FEV1/PEF, PEF, Gangguan fungsi paru, Spirometry, FVC, FEV1, FEV1/FVC, PEF, Pulmonary function disorders.
Subjects:	Q Science > QC Physics > QC100.5 Measuring instruments (General) Q Science > QC Physics > QC271.8.C3 Calibration R Medicine > RC Internal medicine > RC78 Diagnosis, Radioscopic--Examinations, questions, etc.
Divisions:	Faculty of Natural Science > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Laurensius Theofilus Kusuma
Date Deposited:	31 Jul 2026 02:59
Last Modified:	31 Jul 2026 02:59
URI:	http://repository.its.ac.id/id/eprint/140650

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