Rancang Bangun Sistem Pemantau Temperatur, Kelembapan, Dan Pm2.5 Dengan Kompensasi Bias Higroskopis Berbasis Teori K-Kohler

Agung, Gangsar Rahmadani (2026) Rancang Bangun Sistem Pemantau Temperatur, Kelembapan, Dan Pm2.5 Dengan Kompensasi Bias Higroskopis Berbasis Teori K-Kohler. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sensor partikulat optik berbiaya rendah banyak digunakan dalam pemantauan kualitas udara dalam ruangan. Namun hasil pengukurannya rentan mengalami bias positif akibat pertumbuhan higroskopis partikel pada kondisi kelembapan yang relatif tinggi. Penelitian ini bertujuan merancang dan membangun sistem pemantau temperatur, kelembapan relatif, dan konsentrasi PM₂.₅ berbasis mikrokontroler ESP32 serta mengimplementasikan algoritma koreksi higroskopis berbasis teori κ-Köhler secara langsung pada perangkat on-device. Sistem mengintegrasikan sensor PMS5003 dan DHT22, menggunakan asap dupa sebagai sumber aerosol uji, serta mencatat data secara real-time pada Google Sheets. Pembacaan sensor dibandingkan dan dikalibrasi terhadap alat pembanding Bosean T-Z01 Pro. Hasil kalibrasi menunjukkan nilai MAE dan RMSE temperatur masing-masing sebesar 0,87 °C dan 0,93 °C sedangkan nilai MAE dan RMSE kelembapan masing-masing sebesar 0,39% RH dan 0,74% RH. Pada rentang kelembapan relatif 75%–80%, penerapan kompensasi κ-Köhler menurunkan MAE pembacaan PM₂.₅ dari 15,62 µg/m3 menjadi MAE 1,88 µg/m3 dan RMSE dari 16,12 µg/m3 menjadi 2,53 µg/m3. Pengujian sistem selama 24 jam di Laboratorium Fisika Elektronika menghasilkan temperatur 27–29 °C, kelembapan 61–67% RH, dan konsentrasi PM₂.₅ 18,9–114,3 µg/m3. Hasil penelitian menunjukkan bahwa sistem mampu melakukan pengukuran dan pencatatan data lingkungan secara real-time. Pada rentang kelembapan yang diuji, kompensasi κ-Köhler meningkatkan kesesuaian pembacaan PMS5003 terhadap alat pembanding.
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Low-cost optical particulate sensors are widely used in indoor air quality monitoring. However, their measurements are prone to positive bias due to hygroscopic growth of particles under conditions of relatively high humidity. This study aims to design and build a temperature, relative humidity, and PM₂.₅ concentration monitoring system based on the ESP32 microcontroller, and to implement a κ-Köhler theory-based hygroscopic correction algorithm directly on-device. The system integrates a PMS5003 sensor and a DHT22 sensor, uses incense smoke as the test aerosol source, and records data in real time to Google Sheets. Sensor readings were compared against and calibrated to a Bosean T-Z01 Pro reference instrument. Calibration results show temperature MAE and RMSE values of 0.87 °C and 0.93 °C, respectively, while humidity MAE and RMSE values were 0.39% RH and 0.74% RH, respectively. Within the 75%–80% relative humidity range, application of κ-Köhler compensation reduced the PM₂.₅ reading MAE from 15.62 µg/m³ to 1.88 µg/m³, and the RMSE from 16.12 µg/m³ to 2.53 µg/m³. A 24-hour system test conducted in the Electronic Physics Laboratory produced temperatures of 27–29 °C, relative humidity of 61–67% RH, and PM₂.₅ concentrations of 18.9–114.3 µg/m³. The results show that the system is capable of performing real-time environmental measurement and data logging. Within the tested humidity range, κ-Köhler compensation improved the agreement between PMS5003 readings and the reference instrument.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	PM2.5, Sensor PMS5003, Sensor DHT22, kompensasi higroskopis, teori κ-Köhler. ================================================================== PM2.5, PMS5003 Sensor, DHT22 Sensor, Hygroscopic Compensation, κ-Köhler Theory.
Subjects:	Q Science > QC Physics > QC100.5 Measuring instruments (General)
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Gangsar Agung Rahmadani
Date Deposited:	30 Jul 2026 07:15
Last Modified:	30 Jul 2026 07:15
URI:	http://repository.its.ac.id/id/eprint/139866

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