Danang Kumara Hadi, Darma Arif Wicaksono, Rendy Anggriawan, Asih Imer Rita, Ahmad Zulfan

Desain Smart Nutrition Monitoring System Teknik Budidaya Hidroponik Kangkung Berbasis Internet of Things

Introduction

Desain smart nutrition monitoring system teknik budidaya hidroponik kangkung berbasis internet of things. Kembangkan sistem monitoring nutrisi hidroponik kangkung cerdas berbasis IoT. Pantau TDS, suhu, kelembaban dengan sensor akurat via smartphone untuk pertumbuhan optimal dan efisien.

Abstract

Kangkung (Ipomea aquatica) adalah salah satu sayuran bergizi tinggi yang mudah ditanam dan dapat dibudidaya dengan teknik budidaya hidroponik. Sayuran kangkung dengan teknik hidroponik memerlukan nutrisi yang berbeda tiap periode penanaman. Smart Nutrition Monitoring System berbasis Internet of Things (IoT) dapat memberikan kemudahan dalam pemantauan hidroponik. Metode yang digunakan dalam penelitian ini yaitu sistem IoT aplikasi smartphone Blynk sebagai pemantauan adalah smart sensor Total Dissolved Solid (TDS) untuk nutrisi, sensor DHT11 untuk kontrol lingkungan suhu dan kelembaban. Sistem tersebut terintegrasi dengan bahasa pemrograman arduino melalui mikrokontroller ESP 8266. Sensor yang akan dipasang dikalibrasi dahulu untuk memastikan tingkat akurasi sensor adalah akurat. Dari hasil kalibrasi sensor TDS dan DHT11 rata-rata tingkat akurasi sebesar 99%. Setelah penyemaian bibit kangkung dan pemindahan pada instalasi hidroponik, pemasangan dan pengujian sensor dilakukan selama tiga minggu dengan nutrisi berbeda setiap minggunya yaitu 600 ppm, 700 ppm, dan 1.000 ppm.  Data Pengujian Sensor dan IoT Rata-rata Minggu standar kesalahan (SE) masing – masing 0.0011; 0.0020; 0.0008 lebih kecil dari standar deviasi, pengukuran yang dilakukan sudah akurat dan valid. Kontrol nutrisi dan lingkungan dengan pemberian pompa nutrisi apabila ppm melebihi dari standar dan sprinkle air akan hidup jika suhu >32 oC. Pertumbuhan tanaman dan daun menunjukkan pertumbuhan yang normal secara visual dengan bobot rata-rata sebesar 70 gr/ netpot hal tersebut berarti kandungan nutrisi selama penanaman terserap dengan optimal sesuai dengan yang diprogramkan oleh sistem

Review

This paper presents a timely and relevant study on the design and implementation of a Smart Nutrition Monitoring System for hydroponic kangkung cultivation, leveraging Internet of Things (IoT) technology. The authors effectively address the critical need for precise nutrient management in hydroponics, particularly given the varying nutritional requirements of kangkung throughout its growth stages. By integrating a network of sensors (TDS for nutrition, DHT11 for temperature and humidity) with an ESP8266 microcontroller and a smartphone application (Blynk), the system aims to automate monitoring and control, thereby simplifying the cultivation process. The fundamental concept is sound, offering a promising solution for enhancing the efficiency and yield of small-scale hydroponic systems. The strengths of this research lie in its practical approach and clear demonstration of system functionality. The meticulous calibration of the TDS and DHT11 sensors, yielding an impressive average accuracy of 99%, provides a strong foundation for the reliability of the collected data. Furthermore, the validation through the comparison of Standard Error (SE) and Standard Deviation (SD) for the IoT sensor data reinforces the accuracy and validity of the measurements. The system's ability to not only monitor but also actively control environmental parameters, such as activating a nutrient pump or a water sprinkle based on predefined thresholds, showcases a comprehensive design. The successful visual growth of kangkung and the reported average yield of 70 grams per netpot serve as compelling evidence that the system effectively facilitates optimal nutrient absorption and plant development. While the study offers a valuable contribution, there are areas that could be further elaborated or improved. The abstract states that the nutrient pump is activated "apabila ppm melebihi dari standar," which appears counterintuitive; typically, a pump adds nutrients when the concentration *falls below* the standard. Clarification on this control logic would be beneficial. Additionally, the study's scope is limited to a three-week observation period for a single plant type; expanding the duration and including other leafy greens would enhance the generalizability of the findings. Future work could also incorporate a detailed cost-benefit analysis, an evaluation of the system's energy consumption, and a comparative study against other commercial or research-grade hydroponic control systems. Investigating the long-term stability and calibration drift of the sensors would also add significant value to the practical application of such a system.

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