Rancang Bangun Smart Greenhouse Tanaman Pakcoy (Brassica Rapa L.) Dan Sawi (Brassica Rapa Var. Parachinensis) Berbasis Esp32

Rahmah, Amaliah (2025) Rancang Bangun Smart Greenhouse Tanaman Pakcoy (Brassica Rapa L.) Dan Sawi (Brassica Rapa Var. Parachinensis) Berbasis Esp32. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pertanian modern menuntut efisiensi dan pengendalian lingkungan yang presisi untuk meningkatkan produktivitas tanaman. Penelitian ini bertujuan untuk mengetahui hasil rancang bangun sistem Smart greenhouse berbasis ESP32 yang mampu memantau dan mengontrol kondisi lingkungan tumbuh tanaman pakcoy (Brassica Rapa L.) dan sawi (Brassica Rapa Var. Parachinensis) secara otomatis, mengkaji integrasi sensor suhu, kelembapan udara, kelembapan tanah, serta intensitas cahaya dalam menunjang otomasi, dan mengevaluasi proses kalibrasi untuk memastikan akurasi data lingkungan. Sistem dirancang menggunakan sensor DHT11, sensor kelembapan Capacitive Soil Moisture, dan LDR, yang terhubung ke Arduino IoT Cloud untuk pemantauan realtime. Kalibrasi dilakukan dengan membandingkan hasil sensor terhadap alat ukur standar. Hasil pengujian menunjukkan bahwa sistem mampu merespons perubahan lingkungan secara otomatis dan adaptif, dengan aktuator seperti kipas, pompa, dan lampu yang bekerja berdasarkan nilai ambang. Akurasi sensor yang telah dikalibrasi juga menunjukkan hasil yang tinggi, dengan nilai rata-rata koefisien determinasi (R²) smart dan konvensional sebesar 0,98944 untuk suhu, 0,97065 untuk kelembapan udara, 0,992605 untuk intensitas cahaya (LDR), serta masing-masing 0,97393 dan 0,988055 untuk kelembapan tanah (Capacitive Soil Moisture) tanaman pakcoy dan sawi.
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Modern agriculture demands efficiency and precise environmental control to increase crop productivity. This study aims to determine the design results of an ESP32-based Smart greenhouse system that is able to maintain and control the environmental conditions of pakcoy (Brassica Rapa L.) and mustard greens (Brassica Rapa Var. Parachinensis) plants automatically, reviewing integrated temperature, air humidity, soil moisture, and light intensity sensors to support automation, and the calibration process to ensure environmental data. The system is designed using a DHT11 sensor, a Capacitive Soil Moisture sensor, and an LDR, which are connected to the Arduino IoT Cloud for realtime monitoring. Calibration is carried out by comparing sensor results to standard measuring instruments. . The accuracy of the calibrated sensors also showed high results, with an average coefficient of determination (R²) for smart and conventional of 0.98944 for temperature, 0.97065 for air humidity, 0.992605 for light intensity (LDR), and respectively 0.97393 and 0.988055 for soil moisture (Capacitive Soil Moisture) for pak choy and mustard greens.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Smart greenhouse, ESP32, pakcoy, sawi. ; Smart greenhouse, ESP32, pakcoy, mustard greens.
Subjects:	Q Science > QC Physics > QC1 Dielectrics Q Science > QC Physics > QC151 Fluid dynamics Q Science > QC Physics > QC271.8.C3 Calibration Q Science > QC Physics > QC271 Temperature measurements Q Science > QC Physics > QC320 Heat transfer Q Science > QC Physics > QC912.3 Greenhouse gases
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Amaliah Rahmah
Date Deposited:	30 Jul 2025 02:35
Last Modified:	30 Jul 2025 02:35
URI:	http://repository.its.ac.id/id/eprint/123384

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