SISTEM PEMANTAUAN REAL-TIME DAN KONTROL OTOMATIS BERBASIS IOT-AI UNTUK PERTUMBUHAN TANAMAN YANG OPTIMAL

Muhammad Rasyid, Cut Mutia

Abstract


ABSTRAK

 urgensi dari penelitian ini yaitu diantaranya karena pesatnya pertumbuhan penduduk, berkurangnya lahan pertanian dan kemajuan teknologi yang tidak dapat dihindari, menuntut inovasi dalam produksi pangan yang efisien, berkelanjutan dan ramah lingkungan. Sistem hidroponik telah menjadi Solusi alternatif dalam pertanian modern. Namun, keberhasilan sistem ini masih sangat tergantung pada keterampilan dan ketelatenan petani dalam memantau dan mengelola berbagai parameter lingkungan seperti suhu, kelembapan, pH dan nutrisi pada tanaman. Oleh kerena itu, dibutuhkan sistem yang mampu melakukan pemantauan dan kontrol secara otomatis guna meningkatkan efisiensi dan hasil panen. Tujuan dari penelitian ini adalah untuk merancang dan membangun sistem hidroponik cerdas berbasis Internet of Things (IoT) yang terintegrasi Artificial Intelligence (AI) dengan menggunakan model Random Forest yang mampu melakukan pemantauan lingkungan secara real-time dan melakukan control otomatis terhadap nutrisi, suhu dan kondisi lingkungan lainnya untuk mendukung pertumbuhan tanaman secara optimal. Metode prototype akan digunakan dalam implementasi penelitian ini yang terdiri dari tahapan identifikasi kebutuhan pengguna, Perancangan awal, pembuatan prototype, Evaluasi, Revisi dan pengembangan lanjutan serta final implementation. Selain itu, untuk Artificial Intelligence akan dikembangakan metode Regresi dan klasifikasi dengan Random Forest.

Kata kunci : Sistem Hidroponik, Prototype, Internet of Things,  Random Forest, Urban Farming

 

ABSTRAK

The urgency of this research is partly due to the rapid population growth, the decrease in agricultural land, and the unavoidable advancement of technology, which demands innovation in food production that is efficient, sustainable, and environmentally friendly. Hydroponic systems have become an alternative solution in modern agriculture. However, the success of this system still heavily relies on the skills and diligence of farmers in monitoring and managing various environmental parameters such as temperature, humidity, pH, and nutrients in the plants. Therefore, a system is needed that can perform automatic monitoring and control to improve efficiency and crop yields. The aim of this research is to design and build an intelligent hydroponic system based on the Internet of Things (IoT) integrated with Artificial Intelligence (AI). using the Random Forest model that can perform real-time environmental monitoring and automatic control of nutrients, temperature, and other environmental conditions to support optimal plant growth. The prototype method will be used in the implementation of this research, which consists of stages of user needs identification, initial design, prototype creation, evaluation, revision, and further development, as well as final implementation. In addition, for Artificial Intelligence, regression and classification methods will be developed using Random Forest.

 

Keywords : Hydroponic System, Prototype, Internet of Things, Random Forest, Urban Farming


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References


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DOI: http://dx.doi.org/10.36723/juri.v17i2.785

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