Rancang Bangun Sistem Monitoring Penyiraman dan Pemupukan Otomatis Berbasis Internet of Thing

Natogu, Taufiq (2024) Rancang Bangun Sistem Monitoring Penyiraman dan Pemupukan Otomatis Berbasis Internet of Thing. S1 thesis, Universitas Jambi.

	Text ABSTRAK.pdf Download (364kB)
	Text BAB I.pdf Download (109kB)
	Text BAB V.pdf Download (8kB)
	Text COVER.pdf Download (70kB)
	Text DAFTAR PUSTAKA.pdf Download (154kB)
	Text FULL SKRIPSI.pdf Restricted to Repository staff only Download (3MB)
	Text HALAMAN PENGESAHAN.pdf Download (538kB)

Abstract

Perkembangan teknologi otomatisasi memungkinkan aktivitas pertanian berjalan otomatis, termasuk pengelolaan kelembaban tanah, pemberian pupuk, dan suhu lingkungan. Penelitian ini bertujuan merancang sistem monitoring real-time suhu, kelembapan udara, dan tanah melalui smartphone, kontrol penyiraman dan pemupukan otomatis berbasis IoT, serta mengimplementasikan alat dengan sensor terintegrasi dan terkalibrasi.. Menggunakan metode ADDIE (Analyze, Design, Development, Implement, Evaluate), sistem ini terdiri dari perangkat keras microcontroller ESP32, sensor kelembapan tanah, sensor DHT22, dan perangkat lunak Arduino IDE. Implementasi dan pengujian memastikan operasional tepat, dengan kalibrasi sensor menggunakan regresi linear. Sistem mengontrol penyiraman saat kelembaban < 60% dan menghentikan pompa air saat = 80%, serta pemupukan dua kali seminggu pukul 17:30 WIB selama 2 menit dengan output pupuk cair 100 ml. Pemantauan real-time melalui smartphone menunjukkan Sensor menunjukkan rata-rata persentase error kurang dari 5% atau akurasi sensor >95%, dengan pengecualian pada kondisi tanah kering yang memiliki rata-rata persentase error sebesar 7,22% dengan akurasi sensor 92,78%. The development of automation technology allows agricultural activities to be automated, including the management of soil moisture, fertilizer application, and ambient temperature. This research aims to design a real-time monitoring system of temperature, air humidity, and soil via smartphone, IoT-based automatic watering and fertilization control, and implement a device with integrated and calibrated sensors. Using the ADDIE (Analyze, Design, Development, Implement, Evaluate) method, the system consists of ESP32 microcontroller hardware, soil moisture sensor, DHT22 sensor, and Arduino IDE software. Implementation and testing ensure proper operation, with sensor calibration using linear regression. The system controls watering when humidity is < 60% and stops the water pump when = 80%, as well as fertilizing twice a week at 17:30 WIB for 2 minutes with 100 ml liquid fertilizer output. Real-time monitoring via smartphone shows that the sensor shows an average percentage error of less than 5% or sensor accuracy >95%, with the exception of dry soil conditions which have an average percentage error of 7.22% with sensor accuracy of 92.78%.

Type:	Thesis (S1)
Uncontrolled Keywords:	IoT, Microcontroller, Otomatisasi
Subjects:	L Education > L Education (General)
Divisions:	Fakultas Teknologi Pertanian > Teknik Pertanian
Depositing User:	Natogu
Date Deposited:	19 Jul 2024 01:39
Last Modified:	19 Jul 2024 01:39
URI:	https://repository.unja.ac.id/id/eprint/69010

Actions (login required)

View Item