Bachtiar, Rizal (2025) Rancang Bangun Sistem Monitoring Real-Time Konsentrasi Gas Karbon Dioksida (CO₂), Gas Oksigen (O₂), Temperatur, dan Kelembapan Pada Greenhouse Berbasis Internet of Things (IoT). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Manajemen lingkungan mikro di dalam greenhouse memerlukan sistem monitoring yang komprehensif untuk optimasi pertumbuhan tanaman, namun pemantauan simultan terhadap gas-gas fisiologis seperti karbon dioksida (CO2) dan oksigen (O2) masih jarang dilakukan secara terintegrasi. Penelitian ini bertujuan untuk merancang bangun dan mengimplementasikan sebuah sistem monitoring real-time berbasis Internet of Things (IoT) untuk mengukur empat parameter lingkungan krusial secara bersamaan yaitu konsentrasi gas CO2, konsentrasi gas O2, temperatur, dan kelembapan udara. Sistem ini diimplementasikan menggunakan mikrokontroler ESP32 DevKitC V4 sebagai unit pemroses utama, yang terintegrasi dengan sensor CO2 Figaro CDM4160-M00, sensor O2 Figaro KE-50, sensor suhu dan kelembapan DHT22, serta modul ADC ADS1115. Data yang telah diakuisisi kemudian distrukturisasi ke dalam format JSON dan dikirimkan secara nirkabel melalui Wi-Fi ke backend Google Apps Script, yang secara otomatis mencatat data ke dalam spreadsheet setiap satu menit. Hasil pengujian menunjukkan bahwa sistem yang dibangun berhasil berfungsi dengan baik dan memiliki tingkat akurasi yang tinggi. Modul sensor CO2 CDM-4160 yang bersifat pre-calibrated berfungsi sesuai spesifikasi, sementara sensor lainnya setelah divalidasi dan dikalibrasi menunjukkan akurasi rata-rata sebesar 99.95% untuk temperatur, 99.98% untuk kelembapan, dan 96.89% untuk oksigen.
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Microclimate management in greenhouses requires a comprehensive monitoring system for plant growth optimization, yet the simultaneous monitoring of physiological gases such as carbon dioxide (CO2) and oxygen (O2) is rarely implemented in an integrated manner. This research details the design and implementation of a real-time monitoring system based on the Internet of Things (IoT) to simultaneously measure four crucial environmental parameters CO2 concentration, O2 concentration, temperature, and air humidity. The system was implemented using an ESP32 DevKitC V4 microcontroller as the main processing unit, integrated with a Figaro CDM4160-M00 CO2 sensor, a Figaro KE-50 O2 sensor, a DHT22 temperature and humidity sensor, and an ADS1115 ADC module. The acquired data is structured into JSON format and transmitted wirelessly via Wi-Fi to a Google Apps Script backend, which automatically logs the data into a Google Sheets spreadsheet every minutes. Test results show that the developed system functions properly and exhibits a high degree of accuracy, the pre-calibrated CDM-4160 CO2 sensor module operated according to specifications, while the other sensors, after validation and calibration, showed high average accuracies of 99.95% for temperature, 99.98% for humidity, and 96.89% for oxygen.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Sensor Figaro KE-50, Sensor CDM-4160-M00, Sensor DHT22, Monitoring, Greenhouse. =========================================================== Figaro KE-50 Sensor, CDM-4160-M00 Sensor, DHT22 Sensor, Monitoring, Greenhouse. |
| Subjects: | Q Science Q Science > QC Physics Q Science > QC Physics > QC100.5 Measuring instruments (General) Q Science > QC Physics > QC912.3 Greenhouse gases |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis |
| Depositing User: | Rizal Bachtiar |
| Date Deposited: | 17 Jul 2025 08:58 |
| Last Modified: | 17 Jul 2025 08:58 |
| URI: | http://repository.its.ac.id/id/eprint/119927 |
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