Rancang Bangun Dan Analisis Kinerja Sistem Penyemprot Otomatis Tanaman Berbasis Mikrokontroler Dengan Panel Surya

Saputra, Nico Firman Saputra (2025) Rancang Bangun Dan Analisis Kinerja Sistem Penyemprot Otomatis Tanaman Berbasis Mikrokontroler Dengan Panel Surya. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sistem penyemprot otomatis merupakan inovasi dalam bidang pertanian yang dirancang untuk meningkatkan efisiensi perawatan tanaman, khususnya sawi dan pakcoy. Penelitian ini bertujuan mengembangkan prototipe alat yang tak hanya akurat dalam memantau kondisi tanaman, tetapi juga ramah lingkungan dengan mengurangi ketergantungan pada energi fosil. Sistem ini mengintegrasikan beberapa jenis sensor meliputi sensor pH tanah, sensor kelembaban tanah, sensor suhu, dan sensor kelembaban udara yang secara berkala (misalnya setiap 10 menit) mengambil data lingkungan. Data sensor kemudian dikirim melalui modul nirkabel (ESP32) ke server monitoring, di mana kondisi tanaman dianalisis menggunakan ambang batas parameter yang telah ditentukan. Ketika nilai pH, kelembaban, atau suhu menunjukkan kebutuhan penyiraman atau pemupukan, kontroler akan mengaktifkan pompa dan katup penyemprot secara otomatis untuk memberikan nutrisi atau air sesuai dosis yang tepat. Sumber daya utama sistem berasal dari panel surya berkapasitas 100 Wp yang mengisi aki 12 V sebagai penyimpanan, sehingga sistem dapat beroperasi mandiri tanpa listrik konvensional. Hasil pengujian lapangan menunjukkan bahwa sistem mampu mempertahankan kelembaban tanah pada tingkat optimal (± 70%) seperti data pada tanggal 12 April 2025 ada penurunan kelembaban tanah dibawah set point yang langsung memicu sistem untuk menyalakan pompa dan menyirami tanaman sehingga berpotensi meningkatkan pertumbuhan dan produktivitas tanaman secara signifikan. Sehingga, solusi ini menjadi langkah awal dalam menciptakan pertanian modern yang berkelanjutan dan efisien berbasis teknologi IoT.
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Automatic spraying system is an innovation in agriculture designed to improve the efficiency of plant care, especially mustard greens and pak choi. This research aims to develop a prototype tool that is not only accurate in monitoring plant conditions, but also environmentally friendly by reducing dependence on fossil fuels. This system integrates several types of sensors including soil pH sensors, soil moisture sensors, temperature sensors, and air humidity sensors that periodically (for example every 10 minutes) take environmental data. Sensor data is then sent via a wireless module (ESP32) to a monitoring server, where plant conditions are analyzed using predetermined parameter thresholds. When the pH, humidity, or temperature values indicate the need for watering or fertilization, the controller will automatically activate the pump and sprayer valve to provide nutrients or water at the right dose. The main power source of the system comes from a 100 Wp solar panel that charges a 12 V battery as storage, so that the system can operate independently without conventional electricity. Field test results show that the system is able to maintain soil moisture at an optimal level (± 70%) such as data on April 12, 2025 there was a decrease in soil moisture below the set point which immediately triggered the system to turn on the pump and water the plants so that it has the potential to significantly increase plant growth and productivity. Thus, this solution is the first step in creating a modern, sustainable and efficient agriculture based on IoT technology.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Energi Baru Terbarukan, Internet of Things, Smart Farming, Solar Panel. Rewenable Energy, Internet of Things, Smart Farming, Solar Panel.
Subjects:	T Technology > T Technology (General) > T58.8 Productivity. Efficiency T Technology > TS Manufactures > TS155 Production control. Production planning. Production management
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Nico Firman Saputra
Date Deposited:	14 Jul 2025 04:13
Last Modified:	14 Jul 2025 09:29
URI:	http://repository.its.ac.id/id/eprint/119619

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