SISTEM IRIGASI TETES OTOMATIS PADA TANAMAN CABAI RAWIT MERAH BERBASIS INTERNET OF THINGS (IoT)

HARRY WIJANARKO SETYAWAN, . (2026) SISTEM IRIGASI TETES OTOMATIS PADA TANAMAN CABAI RAWIT MERAH BERBASIS INTERNET OF THINGS (IoT). Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Cabai rawit merah (Capsicum frutescens L.) merupakan komoditas hortikultura bernilai ekonomi tinggi yang sangat sensitif terhadap anomali ketersediaan air. Metode penyiraman manual konvensional dinilai kurang efisien dan sulit memberikan takaran air yang presisi, sehingga sering kali memicu kondisi over-irrigation atau under-irrigation yang berisiko mengganggu stabilitas pertumbuhan tanaman. Penelitian ini menggunakan metode Research and Development (R&D) dengan pendekatan V-Model, bertujuan untuk merancang dan membangun purwarupa Sistem Irigasi Tetes Otomatis pada Tanaman Cabai Rawit Merah Berbasis Internet of Things (IoT) untuk mengoptimalkan pemanfaatan sumber daya air. Sistem kendali utama pada penelitian ini menggunakan mikrokontroler ESP32 yang mengintegrasikan sensor kelembapan tanah kapasitif untuk memantau kondisi media tanam, sensor aliran air (water flow) untuk menakar volume air, dan sensor ultrasonik sebagai proteksi ketersediaan air di dalam tandon. Sistem ini beroperasi secara otonom berdasarkan jadwal yang disinkronisasi melalui waktu server (NTP). Apabila kelembapan tanah terdeteksi di bawah 60% dan sisa air tandon aman di atas 20%, mikrokontroler akan mengaktifkan pompa peristaltik. Proses distribusi air akan dihentikan secara presisi ketika volume tetesan telah mencapai target 400 ml. Seluruh parameter pemantauan divisualisasikan secara lokal melalui layar LCD 16x2 dan notifikasi pemantauan berhasil dikirimkan secara jarak jauh melalui bot aplikasi Telegram. Hasil pengujian instrumen menunjukkan persentase error yang rendah, yaitu 1,85% untuk sensor kelembapan tanah, 0,85% untuk sensor aliran air, dan 3,06% untuk sensor ultrasonik. Hasil pengujian menunjukkan bahwa sistem mampu mengeksekusi keputusan penyiraman secara otomatis dengan volume penyiraman yang terukur berdasarkan pembacaan sensor aliran air, melindungi aktuator dari potensi kerusakan akibat tandon kosong, serta memberikan kemudahan pengawasan lahan bagi pengguna. ***** Red cayenne pepper (Capsicum frutescens L.) is a high-value horticultural commodity that is highly sensitive to anomalies in water availability. Conventional manual watering methods are considered inefficient and struggle to provide precise water measurements, often triggering over-irrigation or under-irrigation conditions that risk disrupting the stability of plant growth. This Research and Development (R&D) study using the V-Model method aims to design and build a prototype of an Automatic Drip Irrigation System for Red Cayenne Pepper Based on the Internet of Things (IoT) to optimize water resource utilization. The main control system in this study utilizes an ESP32 microcontroller that integrates a capacitive soil moisture sensor to monitor the growing medium condition, a water flow sensor to measure water volume, and an ultrasonic sensor to monitor water availability in the tank. This system operates autonomously based on a schedule synchronized via server time (NTP). If the soil moisture is detected below 60% and the remaining tank water is above the safety threshold of 20%, the microcontroller will activate the peristaltic pump. The water distribution process stops when the drip volume reaches the target of 400 ml. All monitoring parameters are visualized locally via a 16x2 LCD screen, and monitoring notifications are successfully sent remotely through the Telegram bot application. The instrument testing results show a low error percentage rate, namely 1.85% for the soil moisture sensor, 0.85% for the water flow sensor, and 3.06% for the ultrasonic sensor. The testing results indicate that the system was able to execute automatic watering decisions with a measured watering volume based on the water flow sensor readings, while protecting the actuator from potential damage caused by an empty tank and facilitating remote monitoring for users.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Prof. Dr. Efri Sandi, M.T. ; 2). Muhamad Wahyu Iqbal, M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Harry Wijanarko Setyawan .
Date Deposited:	11 Aug 2026 09:32
Last Modified:	11 Aug 2026 09:32
URI:	http://repository.unj.ac.id/id/eprint/69409

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