Research Article
Linear Calibration Modelling of the BME280 Sensor for Accurate Environmental Data Acquisition
@INPROCEEDINGS{10.4108/eai.6-11-2025.2364324, author={Hadi Hadi and Octavianus Cakra Satya and Hadir Kaban and Rendy Apriansyah and Aflonita Suhana}, title={Linear Calibration Modelling of the BME280 Sensor for Accurate Environmental Data Acquisition}, proceedings={Proceedings of the 4th Sriwijaya International Conference on Basic and Applied Sciences, SICBAS 2025, 6 November 2025, Palembang, Indonesia}, publisher={EAI}, proceedings_a={SICBAS}, year={2026}, month={8}, keywords={Environmental monitoring BME280 sensor calibration modelling NodeMCU ESP32 regression-based correction}, doi={10.4108/eai.6-11-2025.2364324} }- Hadi Hadi
Octavianus Cakra Satya
Hadir Kaban
Rendy Apriansyah
Aflonita Suhana
Year: 2026
Linear Calibration Modelling of the BME280 Sensor for Accurate Environmental Data Acquisition
SICBAS
EAI
DOI: 10.4108/eai.6-11-2025.2364324
Abstract
Environmental monitoring systems require accurate measurements of temperature, humidity, and air pressure to support reliable data analysis and decision-making. The BME280 sensor, developed by Bosch Sensortec, is widely used in Internet of Things (IoT) applications due to its compact design and low power consumption. However, sensor readings may drift over time, necessitating calibration to ensure validity. This study presents a linear calibration modelling approach for the BME280 sensor integrated with NodeMCU ESP32 Microcontroller and a P10 display panel. Calibration was performed by comparing sensor outputs with reference instruments, followed by regression-based correction modelling. Results demonstrated high accuracy: 98.24% for temperature, 98.37% for humidity, and 99.91% for air pressure, alongside excellent precision and low bias values. The findings confirm that linear calibration modelling significantly enhances the reliability of BME280-based environmental monitoring systems.
