Evaluation of IoT-Based Grow Light Automation on Hydroponic Plant Growth

Prasetia, Yuda; Putrada, Aji Gautama; Rakhmatsyah, Andrian

doi:10.26555/jiteki.v7i2.21424

Cited by 10 publications

(5 citation statements)

References 15 publications

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“…Untuk itu growing light digunakan untuk menggantikan cahaya matahari pada pertumbuhan tanaman. Penggunaan grow light lebih unggul dari sisi jumlah daun dan tinggi tanaman [5]. Penyinaran selama 14-16 jam setiap hari, dapat membuat tanaman sayuran dan buah-buahan tumbuh maksimal, seperti pada tanaman selada merupakan tanaman yang pertumbuhan dan perkembanganya membutuhkan lebih dari 12 jam intensitas penyinaran cahaya [6].…”

Section: Pendahuluanunclassified

Penerapan Controlling Auto Light Dimmer Menggunakan Fuzzy Logic Pada Hidroponik Indoor

Fatimah Zahra Al-Gadri,

Kusumawati,

Harianto

et al. 2023

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Negara dengan tingkat kepadatan tinggi pasti membutuhkan tempat tinggal yang banyak. Hidroponik memakai media bukan tanah adalah salah satu solusinya. Hidroponik di dalam ruangan memerlukan pengganti cahaya matahari. Oleh karena itu, penelitian ini mengembangkan sistem untuk mengontrol intensitas cahaya tanaman hidroponik dengan metode yang inovatif. Alat ini menyesuaikan kondisi cahaya di dalam ruangan dan daya keluaran yang sesuai dengan intensitas cahaya lampu hidroponik melalui proses fuzzy logic controller. Tingkat kesalahan untuk data sensor dari Bh1750 adalah sekitar 4.05%. Ketika nilai aktuator dinaikkan, perangkat dimmer juga naik secara linier. Namun, angkanya tidak stabil antara 1 sampai 10, dan lebih dari 80. Karena kenaikan yang terus-menerus tinggi dan penurunan yang terus-menerus rendah, keluaran menjadi tidak stabil selama pengujian sistem fuzzy pada set point rendah. Namun pada set point tinggi, sistem berhasil menyesuaikannya ke nilai yang benar. Rise time 0.37 detik, SettlingMin 173.3300 lux, SettlingMax 945.83 lux, Overshoot 57.8%, dan Peak 956.7 lux, semua nilai di atas ada pada set point 600. Tanaman memiliki daun yang lebih lebar dan batang yang lebih tinggi apabila diberi set point tinggi, dibandingkan apabila diberi set point rendah.

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Section: Pendahuluanunclassified

Penerapan Controlling Auto Light Dimmer Menggunakan Fuzzy Logic Pada Hidroponik Indoor

Fatimah Zahra Al-Gadri,

Kusumawati,

Harianto

et al. 2023

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“…The Internet of Things (IoT) has become one of the most prominent technologies in the evolving digital era (1)(2)(3)(4)(5). IoT has transformed the way humans interact with devices and systems in their surroundings, ranging from smart homes to autonomous vehicles (6)(7)(8).…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency with Internet of Things Based Fuzzy Inference System for Room Temperature and Humidity Regulation

Furizal,

Sunardi,

Yudhana

et al. 2024

IJE

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Energy consumption is a crucial aspect in the effort to optimize the utilization of resources and reduce energy wastage. Focusing on energy efficiency can result in operational cost savings, a reduction in greenhouse gas emissions, and support for environmental sustainability for future generations. Therefore, it is important to consider energy efficiency in daily life, especially in the use of electricity for electronic devices. This research aims to compare the energy efficiency of two different approaches to Air Conditioner (AC) usage: the manual method and the fuzzy logic method. The manual method involves eight tests with direct power measurements over a 30-minute period at various AC temperature settings, namely 18°C, 20°C, 23°C, 24°C, 25°C, 26°C, 27°C, and 30°C. On the other hand, the fuzzy logic method involves six tests allowing for dynamic temperature adjustments based on room conditions. The research findings indicate that the fuzzy logic method achieves lower average power consumption, except at 30°C, where the manual method is slightly more efficient (a difference of 140,745 watts). This difference is primarily attributed to the "cooling and fan" mode used at lower temperatures in the manual method, resulting in higher power consumption. Furthermore, this research reveals the potential of the fuzzy logic in optimizing AC power usage based on real-time conditions, achieving approximately a 41.96% energy savings. The primary contribution of this study is to provide practical insights into how the fuzzy logic method can significantly reduce AC energy consumption, support energy efficiency efforts, and contribute to environmental sustainability.

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“…In the world of technology, IoT has made a great contribution in controlling the temperature and humidity of the environment due to the concept of connecting multiple devices together. IoT devices can be minicomputers, sensors, actuators, and other types of equipment [29]- [31]. IoT enables interaction between different devices, making it easy to control temperature and humidity remotely.…”

Section: Introductionmentioning

confidence: 99%

Temperature and Humidity Control System with Air Conditioner Based on Fuzzy Logic and Internet of Things

Furizal,

Sunardi,

Yudhana

2023

Journal of Robotics and Control

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Work is an activity that takes most of the day to earn a living and improve the standard of living. During work, many people have to work indoors, which can be a less comfortable and unhealthy place if the temperature and humidity are not well controlled. Unsuitable temperature and humidity conditions can negatively affect the health and comfort of workers, as well as interfere with productivity and work quality. However, the problem that often arises is the difficulty of controlling room temperature and humidity effectively, especially in rooms that are closed and do not get air circulation from outside. Therefore, an effective solution is needed to control the temperature and humidity of the room automatically and remotely via the internet. The contribution of this research is to develop an effective and efficient AC control system in controlling room temperature and humidity using Tsukamoto's Fuzzy Inference System (FIS) method and the Internet of Things (IoT). Tsukamoto's FIS is used to produce AC temperature values in room temperature and humidity control as measured by the DHT22 sensor directly integrated with the ESP32 microcontroller. This control system is monitored remotely using IoT concepts through a mobile application interface. The results of this study show that room temperature can be controlled under normal conditions, with an average change of -1.67°C and an overall average temperature of 25.95°C. While the average humidity is at a value of 80.16% which is included in the Wet set. This suggests that humidity cannot be controlled under normal conditions, so it still requires further development. In addition, it is also necessary to further investigate the effectiveness of the tool in various sizes and more complex layouts of rooms.

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Evaluation of IoT-Based Grow Light Automation on Hydroponic Plant Growth

Cited by 10 publications

References 15 publications

Penerapan Controlling Auto Light Dimmer Menggunakan Fuzzy Logic Pada Hidroponik Indoor

Penerapan Controlling Auto Light Dimmer Menggunakan Fuzzy Logic Pada Hidroponik Indoor

Energy Efficiency with Internet of Things Based Fuzzy Inference System for Room Temperature and Humidity Regulation

Temperature and Humidity Control System with Air Conditioner Based on Fuzzy Logic and Internet of Things

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