Monitoring and Control Food Temperature and Humidity using Internet of Things Based-on Microcontroller

Riadi, Imam; Syaefudin, Rizal

doi:10.26555/jiteki.v7i1.20213

Cited by 4 publications

(5 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This fuzzy logic will play a role in adjusting the temperature of the air conditioner according to the input temperature and humidity of the room. This input indicator is measured in real time by a DHT22 sensor integrated with the ESP32 microcontroller as the processing center [66]- [68]. After the fuzzy logic is finished coding inside the microcontroller, then the tool logic is tested and analyzed for its impact in controlling temperature and humidity in the room by utilizing air conditioning.…”

Section: A Stages Of Researchmentioning

confidence: 99%

“…This microcontroller was chosen because it is accompanied by an internal WiFi module [126], so there is no need for an external module to access the internet. This microcontroller is integrated directly with several components [68] such as KY-005 InfraRed Transmitter, I2C, PIR Sensor [32], DHT22 Sensor [68], and LED. While some other components such as LCDs are also integrated with ESP32 through I2C intermediaries as a link.…”

Section: E Design Tools and Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

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.

show abstract

Section: A Stages Of Researchmentioning

confidence: 99%

Section: E Design Tools and Applicationsmentioning

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

View full text Add to dashboard Cite

show abstract

“…Berbagai jenis mikrokontroler Arduino Uno telah diimplementaskan sebagai alat pengendali ataupun pengontrolan. Rancang bangun pengendali suhu dan kelembaban pada industry tempe menggunakan mikrokontroler NodeMCU, sensor suhu DHT22 sebagai pengendali dan detektor suhu [2][3][4]. Prototipe bekerja pada suhu 30ºC -35ºC selama 16 jam.…”

Section: Pendahuluanunclassified

Prototipe dengan Sistem IoT Pada Pengaturan Suhu dan Kelembaban Pada Permentasi Tempe

Mekongga,

Mustaziri,

Fazarrudin

et al. 2023

AMPERE

View full text Add to dashboard Cite

This research aims to design an IoT-based prototype for temperature and humidity control to enhance the productivity of tempe fermentation. The prototype utilizes the WeMos D1 R2 microcontroller, processing data from the temperature sensor (DHT11) and RTC DS3231 to control a DC fan and heater. The Blynk application enables remote monitoring and management of temperature and humidity. Research results indicate stable temperature (30°C–37°C) and humidity (60–70 RH). The prototype demonstrates effectiveness in controlling tempe fermentation conditions and is suitable for implementation. .

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

Monitoring and Control Food Temperature and Humidity using Internet of Things Based-on Microcontroller

Abstract: Monitoring and Control Food Temperature and Humidity using Internet of Things Based-on Microcontroller (Imam Riadi)of temperature and humidity on the DHT22 and HTC-2 sensors obtain a standard deviation value of temperature and humidity errors of 0.8708 and 1.1254.

Cited by 4 publications

References 18 publications

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

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

Prototipe dengan Sistem IoT Pada Pengaturan Suhu dan Kelembaban Pada Permentasi Tempe

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

Contact Info

Product

Resources

About