SISTEM MONITORING KELEMBABAN UDARA, KELEMBABAN TANAH, SUHU, KETERSEDIAAN PUPUK CAIR, INTENSITAS CAHAYA, DAN PENYIRAMAN OTOMATIS TANAMAN STROBERI BERBASIS INTERNET OF THINGS (IoT)

SYIFA MAULIDDYA, . (2026) SISTEM MONITORING KELEMBABAN UDARA, KELEMBABAN TANAH, SUHU, KETERSEDIAAN PUPUK CAIR, INTENSITAS CAHAYA, DAN PENYIRAMAN OTOMATIS TANAMAN STROBERI BERBASIS INTERNET OF THINGS (IoT). Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Budidaya tanaman stroberi memerlukan pemantauan dan perawatan yang intensif untuk menjaga kondisi lingkungan tumbuh yang optimal. Kelembaban tanah, suhu, kelembaban udara, intensitas cahaya, dan ketersediaan pupuk cair merupakan faktor penting yang memengaruhi pertumbuhan tanaman stroberi. Penelitian ini bertujuan mengembangkan sistem monitoring kelembaban udara, kelembaban tanah, suhu, ketersediaan pupuk cair, intensitas cahaya, serta penyiraman otomatis berbasis Internet of Things (IoT) yang mampu melakukan pemantauan dan pengendalian secara real-time. Metode penelitian yang digunakan adalah V-Model, yang terdiri atas tahapan analisis kebutuhan, perancangan sistem, perancangan detail, implementasi, pengujian, dan validasi sistem. Sistem dikembangkan menggunakan mikrokontroler ESP32 sebagai pusat kendali yang terintegrasi dengan sensor DHT22 untuk mengukur suhu dan kelembaban udara, sensor YL-69 untuk mendeteksi kelembaban tanah, sensor LDR untuk mengukur intensitas cahaya, serta sensor ultrasonik HC-SR04 untuk memantau ketersediaan pupuk cair. Data hasil pembacaan sensor ditampilkan pada LCD dan dikirimkan ke aplikasi Blynk sehingga dapat dipantau dari jarak jauh melalui jaringan internet. Hasil pengujian menunjukkan bahwa sensor DHT22 memiliki nilai error sebesar 0,86% dengan tingkat akurasi 99,13% pada pengukuran kelembaban udara dan error sebesar 1,62% dengan tingkat akurasi 98,38% pada pengukuran suhu. Sementara itu, sensor kelembaban tanah menunjukkan nilai error sebesar 1,94% dengan tingkat akurasi 98,06%. Selain itu, sistem berhasil melakukan monitoring kondisi lingkungan tanaman secara real-time serta mengendalikan penyiraman secara otomatis berdasarkan nilai kelembaban tanah yang terdeteksi. Hasil penelitian menunjukkan bahwa seluruh komponen sistem dapat bekerja sesuai dengan rancangan sehingga sistem yang dikembangkan mampu mendukung perawatan tanaman stroberi secara lebih efektif, efisien, dan berbasis teknologi IoT. ***** Strawberry cultivation requires intensive monitoring and maintenance to ensure optimal growing conditions. Soil moisture, air temperature, air humidity, light intensity, and liquid fertilizer availability are critical environmental factors affecting strawberry plant growth and productivity. This study aimed to develop an Internet of Things (IoT)-based monitoring and automatic irrigation system capable of monitoring environmental parameters and controlling irrigation in real time. The research employed the V-Model development methodology, which consists of six stages: requirements analysis, system design, detailed design, implementation, testing, and system validation. The developed system utilized an ESP32 microcontroller as the main controller integrated with a DHT22 sensor to measure air temperature and humidity, a YL-69 soil moisture sensor to monitor soil moisture, an LDR sensor to detect light intensity, and an HC-SR04 ultrasonic sensor to measure the availability of liquid fertilizer. Sensor data were processed by the ESP32, displayed on an LCD, and transmitted to the Blynk application, enabling users to monitor plant conditions remotely through an internet connection. The experimental results demonstrated that the DHT22 sensor achieved an error of 0.86% with an accuracy of 99.13% for air humidity measurement and an error of 1.62% with an accuracy of 98.38% for temperature measurement. Meanwhile, the soil moisture sensor achieved an error of 1.94% with an accuracy of 98.06%. Furthermore, the system successfully monitored environmental conditions in real time and automatically activated the irrigation system based on predefined soil moisture thresholds. Overall, the integration of hardware and software components functioned as intended, indicating that the developed system is capable of improving the efficiency of strawberry plant maintenance while supporting the implementation of smart agriculture through IoT technology.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Pitoyo Yuliatmojo, M.T. ; 2). Muhamad Wahyu Iqbal, S.Pd., M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Syifa Mauliddya .
Date Deposited:	21 Aug 2026 07:00
Last Modified:	21 Aug 2026 07:00
URI:	http://repository.unj.ac.id/id/eprint/72640

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