Anggraeni, Novita (2025) Analisis Pertumbuhan Tanaman Pakcoy (Brassica Rapa L.) dan Sawi Caisim (Brassica Rapa Var. Parachinensis) Pada Sistem Budidaya Smart Greenhouse dan Konvensional Greenhouse. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penggunaan lahan terus mengalami penurunan sebanyak 28%, utamanya dalam sektor usaha pertanian dan perkebunan, sehingga diperlukan altenatif lain untuk tetap mengembangkan produksi pertanian dan menjaga keberlanjutan lahan pertanian, salah satunya yaitu menggunakan greenhouse atau rumah kaca. Seiring dengan perkembangan teknologi, greenhouse kini telah dilengkapi dengan berbagai fitur canggih, seperti sistem otomasi dan sensor lingkungan, yang bertujuan untuk meningkatkan efektivitas dan efisiensi dalam kegiatan pertanian. Baik smart greenhouse maupun konvensional greenhouse memiliki kelebihan dan kekurangan masing-masing dalam mendukung produktivitas tanaman. Oleh karena itu penelitian ini bertujuan untuk mengetahui perbandingan efektivitas smart greenhouse dan konvensional greenhouse terhadap pertumbuhan tanaman pakcoy dan sawi caisim. Metode penelitian yang digunakan meliputi perancangan dan implementasi prototype, perangkat lunak, dan perangkat elektronika yang terhubung dengan sistem IoT. Digunakan sensor DHT11, Capacitive Soil Moisture, dan LDR yang dihubungkan ke ESP32 serta menggunakan Arduino IoT Cloud sebagai perangkat IoT. Hasil penelitian menunjukkan bahwa smart greenhouse lebih efektif dibandingkan konvensional greenhouse dalam mendukung pertumbuhan tanaman pakcoy dan sawi caisim. Tanaman pakcoy mengalami peningkatan tinggi sebesar 10,53% dan lebar daun 5,56%, sedangkan sawi caisim mengalami peningkatan lebih signifikan, yaitu tinggi 62,5%, lebar daun 16,67%, dan jumlah daun 50%. Data ini memperlihatkan bahwa pengendalian lingkungan yang lebih stabil dalam smart greenhouse mendukung pertumbuhan tanaman secara optimal.
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Land use continues to decline by 28%, especially in the agricultural and plantation business sectors, so other alternatives are needed to continue developing agricultural production and maintaining the sustainability of agricultural land, one of which is using a greenhouse. Along with the development of technology, greenhouses are now equipped with various sophisticated features, such as automation systems and environmental sensors, which aim to increase effectiveness and efficiency in agricultural activities. Both smart greenhouses and conventional greenhouses have their own advantages and disadvantages in supporting plant productivity. Therefore, this study aims to determine the comparison of the effectiveness of smart greenhouses and conventional greenhouses on the growth of pak choy and caisim mustard plants. The research methods used include the design and implementation of prototypes, software, and electronic devices connected to the IoT system. DHT11, Capacitive Soil Moisture, and LDR sensors are used which are connected to ESP32 and use Arduino IoT Cloud as an IoT device. The results of the study showed that smart greenhouses are more effective than conventional greenhouses in supporting the growth of pak choy and caisim mustard plants. Pak choy plants experienced an increase in height of 10.53% and leaf width of 5.56%, while mustard greens experienced a more significant increase, namely 62.5% in height, 16.67% in leaf width, and 50% in number of leaves. These data show that more stable environmental control in smart greenhouses supports optimal plant growth.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | ESP32, Smart Greenhouse, Konvensional Greenhouse. ==================================================================================== ESP32, Smart Greenhouse, conventional Greenhouse. |
| Subjects: | Q Science > QC Physics > QC151 Fluid dynamics Q Science > QC Physics > QC162 Adsorption and absorption Q Science > QC Physics > QC271 Temperature measurements Q Science > QC Physics > QC320 Heat transfer |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis |
| Depositing User: | Novita Anggraeni |
| Date Deposited: | 31 Jul 2025 09:29 |
| Last Modified: | 31 Jul 2025 09:29 |
| URI: | http://repository.its.ac.id/id/eprint/124304 |
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