RANCANG BANGUN SISTEM INTEGRASI OTOMATIS PEMANTAUAN DAN PENGENDALIAN TANAMAN HIDROPONIK MENGGUNAKAN RASPBERRY PI BERBASIS IoT

WAHYU ILHAM BAIHAQI, . (2026) RANCANG BANGUN SISTEM INTEGRASI OTOMATIS PEMANTAUAN DAN PENGENDALIAN TANAMAN HIDROPONIK MENGGUNAKAN RASPBERRY PI BERBASIS IoT. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Sistem pemantauan dan pengendalian merupakan instrumen yang sangat berguna dalam bidang pertanian modern, khususnya budidaya hidroponik agar pengelolaan dapat dilakukan secara lebih efektif, efisien, dan dari jarak jauh. Tujuan penelitian ini adalah mengembangkan sistem pemantauan dan pengendalian otomatis suhu, kadar pH, dan kepekatan nutrisi larutan (TDS) pada budidaya selada (Lactuca sativa) dengan metode Deep Flow Technique (DFT). Penelitian dilakukan menggunakan metode pengembangan V-Model yang mencakup tahapan requirement analysis, system design, architectural design, module design, coding phase, unit testing, integration testing, system testing, dan acceptance testing. Sistem yang dikembangkan menggunakan Raspberry Pi 4 Model B sebagai kendali utama, terintegrasi dengan sensor DHT22, pH-4502C, TDS Gravity, serta berbagai aktuator (kipas, pompa, motor DC) dan platform IoT Ubidots sebagai antarmuka real-time. Hasil penelitian menunjukkan sistem berhasil mengukur suhu dengan rata-rata error 3.00%, kadar pH dengan error 4.85%, dan TDS dengan error 1.04%. Selain itu, sistem berhasil mengontrol seluruh parameter menggunakan aktuator yang terpasang. Antarmuka platform Ubidots juga berjalan dengan baik dan dapat diakses melalui perangkat mobile maupun komputer. Kesimpulan dari penelitian ini menunjukkan bahwa sistem integrasi otomatis berbasis IoT berhasil menjaga kondisi pertumbuhan tanaman selada secara stabil pada rentang pH 6,0–7,0 dan TDS 560–840 ppm sesuai parameter yang direkomendasikan. ***** Monitoring and control systems are highly useful instruments in modern agriculture, specifically in hydroponic cultivation, enabling more effective, efficient, and remote management. The objective of this research is to develop an automated monitoring and control system for temperature, pH levels, and Total Dissolved Solids (TDS) in lettuce (Lactuca sativa) cultivation using the Deep Flow Technique (DFT) method. The research was conducted using the V- Model development method, encompassing requirement analysis, system design, architectural design, module design, coding phase, unit testing, integration testing, system testing, and acceptance testing. The developed system utilizes a Raspberry Pi 4 Model B as the main controller, integrated with a DHT22 sensor, pH-4502C sensor, Gravity TDS sensor, various actuators (fans, pumps, DC motors), and the Ubidots IoT platform as a real-time interface. The results showed that the system successfully measured temperature with an average error of 3.00%, pH levels with a 4.85% error, and TDS with a 1.04% error. Furthermore, the system successfully controlled all parameters using the installed actuators. The Ubidots platform interface also functioned properly and was accessible via mobile devices and computers. The conclusion of this research indicates that the IoT-based automated integration system successfully maintained stable growth conditions for lettuce within the recommended parameters of pH 6.0–7.0 and TDS 560–840 ppm.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Aodah Diamah, M.Eng; 2). Vina Oktaviani, S.Pd.,M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika Teknologi dan Ilmu Terapan > Teknik Komputer
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Wahyu Ilham Baihaqi .
Date Deposited:	10 Aug 2026 06:26
Last Modified:	10 Aug 2026 06:26
URI:	http://repository.unj.ac.id/id/eprint/69371

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