Pengembangan Sistem IoT untuk Penambahan Nutrisi Secara Otomatis Pada Analisis Pertumbuhan Tanaman Berbasis Ramah Lingkungan

Agustin, Sri (2026) Pengembangan Sistem IoT untuk Penambahan Nutrisi Secara Otomatis Pada Analisis Pertumbuhan Tanaman Berbasis Ramah Lingkungan. Other thesis, Institut Teknologi Sepuluh Nopember.

[thumbnail of 5001221083-Undergraduate_Thesis.pdf] Text
5001221083-Undergraduate_Thesis.pdf - Accepted Version
Restricted to Repository staff only

Download (5MB) | Request a copy

Abstract

Perkembangan teknologi Internet of Things (IoT) memberikan peluang dalam meningkatkan efisiensi sistem pertanian modern, khususnya pada budidaya tanaman hidroponik. Hidroponik menjadi salah satu solusi untuk mengatasi keterbatasan lahan pertanian, namun pengelolaan nutrisi yang masih dilakukan secara konvensional sering kali menyebabkan ketidaksesuaian dengan kebutuhan tanaman sehingga berpotensi menurunkan kualitas pertumbuhan. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem monitoring serta penambahan nutrisiotomatis berbasis IoT dengan memanfaatkan sumber energi ramah lingkungan berupa panel surya dan aki. Penelitian meliputi tahap perancangan sistem, perakitan alat, pengujian, dan analisis data. Sistem menggunakan mikrokontroler ESP32 sebagai pusat kendali yang terhubung dengan sensor pH, sensor Total Dissolved Solids (TDS), dan sensor suhu DS18B20 untuk memantau kondisi larutan nutrisi secara real-time. Data hasil pengukuran dikirimkan ke platform IoT sehingga dapat dipantau melalui aplikasi atau website. Sistem juga dilengkapi dengan pompa peristaltik yang dikendalikan secara otomatis berdasarkan nilai TDS yang terukur. Hasil pengujian menunjukkan bahwa sistem berhasil memantau nilai pH, suhu, dan TDS secara real-time serta mengaktifkan pompa nutrisi secara otomatis ketika nilai TDS berada di bawah set point 600 ppm. Hasil pengamatan pertumbuhan tanaman menunjukkan bahwa rata-rata tinggi tanaman pakcoy pada sistem otomatis mencapai 22,3 cm, lebih tinggi dibandingkan sistem konvensional sebesar 17,15 cm. Sementara itu, rata-rata tinggi tanaman sawi pada sistem otomatis mencapai 18,65 cm, sedangkan pada sistem konvensional sebesar 16,6 cm. Berdasarkan hasil penelitian, sistem yang dikembangkan mampu menjaga kestabilan nutrisi dan mendukung pertumbuhan tanaman secara lebih optimal dibandingkan metode konvensional.
=====================================================================================================================================
The development of Internet of Things (IoT) technology provides opportunities to improve the efficiency of modern agricultural systems, especially in the cultivation of hydroponic plants. Hydroponics is one of the solutions to overcome the limitations of agricultural land, but nutrient management that is still carried out conventionally often causes incompatibility with plant needs so that it has the potential to reduce the quality of growth. This research aims to design and develop a monitoring system and add IoT-based automatic fertilizers by utilizing environmentally friendly energy sources in the form of solar panels and batteries. The research includes the system design stage, tool assembly, testing, and data analysis. The system uses the ESP32 microcontroller as a control center connected to a pH sensor, Total Dissolved Solids (TDS) sensor, and DS18B20 temperature sensor to monitor the condition of nutrient solutions in real-time. The measurement data is sent to the IoT platform so that it can be monitored through an application or website. The system is also equipped with a peristaltic pump that is automatically controlled based on a measured TDS value. The test results showed that the system successfully monitored the pH, temperature, and TDS values in real-time and activated the nutrient pump automatically when the TDS value was below the 600 ppm set point. The results of plant growth observation showed that the average height of pakcoy plants in the automatic system reached 22.3 cm, higher than the conventional system of 17.15 cm. Meanwhile, the average height of mustard greens in the automatic system reaches 18.65 cm, while in the conventional system it is 16,6 cm. Based on the results of the research, the system developed is able to maintain nutritional stability and support plant growth more optimally than conventional methods.

Item Type: Thesis (Other)
Uncontrolled Keywords: Internet of Things (IoT), Hidroponik, Panel Surya, Internet of Things (IoT), Hydroponics, Solar Panel
Subjects: Q Science > QC Physics
Q Science > QC Physics > QC631.D29 Electrodynamics.
Q Science > QK Botany > QK731 Growth (Plants)
T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering systems. Automatic machinery (General)
Divisions: Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User: Sri Agustin
Date Deposited: 23 Jul 2026 03:46
Last Modified: 23 Jul 2026 03:49
URI: http://repository.its.ac.id/id/eprint/136380

Actions (login required)

View Item View Item