Sistem IoT untuk Monitoring Real-time Konsentrasi Gas CO2, O2, Temperatur, dan Kelembapan di Greenhouse Eco Urban Farming ITS

Widyastuti, Maulidia (2025) Sistem IoT untuk Monitoring Real-time Konsentrasi Gas CO2, O2, Temperatur, dan Kelembapan di Greenhouse Eco Urban Farming ITS. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Greenhouse Eco Urban Farming di Institut Teknologi Sepuluh Nopember digunakan untuk membudidayakan berbagai jenis sayuran organik yang dipasarkan dengan merek “SayOr ITS”. Namun, hingga saat ini greenhouse belum dilengkapi dengan sistem pemantauan lingkungan secara otomatis. Padahal, pengawasan terhadap faktor lingkungan seperti konsentrasi CO2, O2, temperatur, dan kelembapan sangat penting untuk mendukung pertumbuhan tanaman dengan optimal. Penelitian ini mengembangkan sistem monitoring berbasis Internet of things (IoT) yang dapat memantau kondisi greenhouse secara real-time. Sistem ini menggunakan mikrokontroler ESP32 yang diprogram melalui Arduino IDE untuk membaca data dari tiga sensor, yaitu CDM4160-M00 untuk CO2, KE-50 untuk O2, dan DHT22 untuk temperatur dan kelembapan. Data yang diperoleh dikirimkan ke Firebase Realtime Database dan dapat diakses melalui platform web yang responsif di greensights.web.app. Hasil penelitian menunjukkan fluktuasi konsentrasi CO2 yang dipengaruhi oleh fotosintesis pada siang hari dan respirasi pada malam hari. Sementara itu, konsentrasi O2 menurun pada siang hari dan meningkat pada malam hari yang disebabkan jumlah tanaman terlalu sedikit untuk menghasilkan oksigen. Temperatur mencapai 41°C pada siang hari yang berisiko menyebabkan stres panas pada tanaman jika melebihi 35°C. Kelembapan mencapai 60-80%, namun dapat turun drastis hingga 30% yang dapat menyebabkan stres tanaman. Sistem ini memungkinkan pemantauan kondisi greenhouse secara efektif untuk menjaga pertumbuhan tanaman yang optimal.
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The Greenhouse Eco Urban Farming facility at the Institute of Technology Sepuluh Nopember is used to cultivate various types of organic vegetables marketed under the brand name “SayOr ITS”. However, to date, the greenhouse has not been equipped with an automated environmental monitoring system. Yet, monitoring environmental factors such as CO2 concentration, O2 levels, temperature, and humidity is crucial for optimising plant growth. This study develops an Internet of things (IoT)-based monitoring system capable of real-time monitoring of greenhouse conditions. The system uses an ESP32 microcontroller programmed via the Arduino IDE to read data from three sensors: the CDM4160-M00 for CO₂, the KE-50 for O₂, and the DHT22 for temperature and humidity. The data obtained is sent to the Firebase Realtime Database and can be accessed through a responsive web platform at greensights.web.app. The research results show fluctuations in CO2 concentration influenced by photosynthesis during the day and respiration at night. Meanwhile, O2 concentration decreases during the day and increases at night due to the insufficient number of plants to produce oxygen. Temperatures reached 41°C during the day, which poses a risk of heat stress on plants if exceeding 35°C. Humidity levels reached 60-80%, but can drop drastically to 30%, which can cause plant stress. This system enables effective monitoring of greenhouse conditions to maintain optimal plant growth.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Firebase, Greenhouse, IoT, Karbon Dioksida, Oksigen, Sistem Monitoring, Carbon Dioxide, Firebase, Greenhouse, IoT, Oxygen, Monitoring System
Subjects:	Q Science > QC Physics Q Science > QC Physics > QC912.3 Greenhouse gases T Technology > T Technology (General)
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Maulidia Widyastuti
Date Deposited:	23 Jul 2025 04:16
Last Modified:	23 Jul 2025 04:18
URI:	http://repository.its.ac.id/id/eprint/120760

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