Arifin, Suhdi (2025) Sistem Smart Agriculture Berbasis Mini Greenhouse Untuk Optimasi Pertumbuhan Microgreens Dengan Monitoring Kondisi Lingkungan Dan Variasi Ketinggian Pencahayaan. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Dengan bertambahnya populasi dan perubahan iklim, kebutuhan pangan berkelanjutan dan ketahanan pangan semakin mendesak. Penanaman microgreens menjadi salah satu opsi yang sangat cocok untuk dikembangkan terutama di daerah perkotaan dengan kekayaan nutrisinya. Namun, pertanian menghadapi tantangan seperti kegagalan panen yang disebabkan oleh kondisi lingkungan terutama pencahayaan dan kelembapan media tanam yang tidak optimal. Kedua faktor tersebut memengaruhi intensitas cahaya yang diterima dan proses fotosintesis microgreens. Penelitian ini bertujuan untuk membangun sistem smart agriculture berbasis mini greenhouse yang terintegrasi dengan IoT. Pada penelitian ini mengintegrasikan mikrokontroler esp 32 sebagai komponen utama yang berfungsi untuk mengendalikan komponen lainnya yaitu sensor soil moisture untuk membaca kelembapan rockwool sebagai media tanam, sensor ultrasonik untuk membaca tinggi microgreens, LED strip light 2835 sebagai pencahayaan yang siklusnya diatur menggunakan RTC RS2321. Dalam menjaga kelembapan media tanam, sistem ini menggunakan mini pump submersible untuk sistem irigasi berdasarkan pembacaan sensor soil moisture. Selanjutnya hasil pembacaan sensor, LED, dan mini pump ditampilkan pada display LCD TFT. Sistem ini juga memanfaatkan teknologi Internet of Things (IoT) melalui platform Blynk untuk memonitoring sistem smart agricultre ini dari jarak jauh. Percobaan dilakukan dengan pencahayaan LED selama 12 jam. Variasi ketinggian LED dalam percobaan ini yaitu 15 cm,20 cm, 25 cm. Secara keseluruhan, Ketinggian LED 25 cm memberikan hasil yang lebih baik dibandingkan dengan ketinggian LED 15 cm dan 20 cm yang ditunjukkan dengan persentase tumbuh optimal terttinggi mencapai 58 %, berat segar tertinggi sebesar 1,64 gram, dan tinggi microgreens rata-rata sebesar 5,16 cm.
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Food security and sustainability are becoming increasingly important due to population growth and climate change. Microgreens cultivation is a viable option, particularly in urban locations where fertilizers are abundant. Crop failure brought on by environmental factors, particularly suboptimal illumination and humidity levels in the growing media, is one of the difficulties facing agriculture. Both elements have an impact on the microgreens' photosynthesis and the amount of light they get. This research is aim to develop an IoT-enabled smart agriculture system based on a mini greenhouse. This research integrates the esp 32 microcontroller as the main component that functions to control other components, namely the soil moisture sensor to read the humidity of rockwool as a growing medium, ultrasonic sensors to read the height of microgreens, LED strip light 2835 as lighting whose cycle is regulated using RTC RS2321. In maintaining the humidity of the growing media, this system uses a submersible mini pump for the irrigation system based on the reading of the soil moisture sensor. Furthermore, the readings of the sensor, LED, and mini pump are displayed on the TFT LCD display. This system also utilizes Internet of Things (IoT) technology through the Blynk platform to remotely monitor this smart agriculture system. LED lighting was used for the duration of the 12-hour experiment. In this experiment, the LED height varies by 15 cm, 20 cm, and 25 cm. As seen by the highest ideal growth percentage of 58%, the highest fresh weight of 1.64 grams, and the average microgreens height of 5.16 cm, the 25 cm LED height produced superior results overall than the 15 cm and 20 cm LED heights
Item Type: | Thesis (Other) |
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Uncontrolled Keywords: | Microgreens, Smart Agriculture, IoT |
Subjects: | S Agriculture > S Agriculture (General) T Technology > T Technology (General) T Technology > T Technology (General) > T58.8 Productivity. Efficiency T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control |
Divisions: | Faculty of Vocational > Mechanical Industrial Engineering (D4) |
Depositing User: | Suhdi Arifin |
Date Deposited: | 05 Aug 2025 10:54 |
Last Modified: | 05 Aug 2025 10:54 |
URI: | http://repository.its.ac.id/id/eprint/127364 |
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