Smart Mini Spirometer Monitoring System Based on ESP32 and MQTT Communication Protocol

Elvan Yuniarti (UIN Syarif Hidayatullah Jakarta)
Muhammad Tiorahman Hakim (Physics Study Program, Faculty of Sciences and Technology, State Islamic University Syarif Hidayatullah Jakarta,)
Thallut Malik Khatam (Physics Study Program, Faculty of Sciences and Technology, State Islamic University Syarif Hidayatullah Jakarta,)
Irvanza Huga Fausta (Physics Study Program, Faculty of Sciences and Technology, State Islamic University Syarif Hidayatullah Jakarta,)
Hernanda Thoriq Hermansyah (Physics Study Program, Faculty of Sciences and Technology, State Islamic University Syarif Hidayatullah Jakarta,)
Edi Sanjaya (Physics Study Program, Faculty of Sciences and Technology, State Islamic University Syarif Hidayatullah Jakarta,)
Ambran Hartono (Physics Study Program, Faculty of Sciences and Technology, State Islamic University Syarif Hidayatullah Jakarta,)

Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics
Vol. 8 No. 2 (2025): AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORET

A system created can also provide solutions for remote monitoring that can be read through the dashboard on the WEB. Lung health monitoring is very important. This can be used to detect lung disease in its early stages. The parameters used to detect lung health are lung function parameters, especially Forced Vital Capacity (FVC) and Forced Expiratory Volume in one second (FEV1). This study aims to design a smart mini spirometer that can calculate the parameters of PVC and FEV1. The tools and materials used are the pressure sensor, MPX5010DP, venturi pipe, ESP32, 0.96-inch OLED, laptop, Arduino IDE, Message Queuing Telemetry Transport (MQTT) protocol, Web dashboard, and WiFi Internet. The results obtained successfully created a Smart Mini Spirometer Monitoring System. This system has an accuracy performance of 97.5% with a standard volume reference of 3.7 L. The system created can also provide solutions for remote monitoring that can be read via the dashboard on the WEB.