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Journal : Internet of Things and Artificial Intelligence Journal

Implementation of Smart Farming for Oyster Mushroom Cultivation Based on Wireless Sensor Network Using ESP8266 Wahid, Abdul; Syahbani, Dimas; Adiba, Fhatiah
Internet of Things and Artificial Intelligence Journal Vol. 3 No. 2 (2023): Volume 3 Issue 2, 2023 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v3i2.610

Abstract

Internet of Things (IoT) technology can facilitate daily work in various fields. This study aims to implement smart farming for oyster mushroom cultivation based on Wireless Sensor Network (WSN) and ESP8266. The sensors used are temperature and humidity sensors with NodeMCU ESP8266 as a microcontroller so that they can take advantage of the Internet of Things (IoT) concept. The design of the prototype tool is designed in the form of a prototype box. The prototype box has 2 rooms that aim to apply the Wireless Sensor Network (WSN) method, so that data in each different room can be retrieved and then sent the data to the website. Tests were carried out to measure the comparison of temperature and humidity sensors with manual measurement tools. The results of this study show an absolute error average of 0.606% for temperature data and an absolute error of 0.627% for humidity data. This shows that the overall system is good and responsive.
Hybrid Electrical Interchange System in IoT-Based Egg-Hatching Equipment Parenreng, Jumadi Mabe; Wahyuni , Maya Sari; Lia, Resky Amalia; Muliadi, Muliadi; Adiba, Fhatiah
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i2.730

Abstract

Manual egg hatching still requires time and human labor every day to regulate temperature, adjust humidity, and turn the eggs. This egg hatcher works using solar panels as an alternative energy source. This study aims to design and determine the results of the effectiveness of testing the hybrid electrical interchange system on IoT-based egg hatchers. The research method used is the R&D method. Based on the results of the research, switching energy sources is declared valid because the tools and applications are integrated. The average voltage difference in the battery in charging condition by turning on the tool is -0.01 Volts, proving that even though it is in charging condition when the tool is turned on, the voltage in the battery will still decrease. The measurement results of the average daily energy demand on the hatchery by applying a hybrid electrical interchange system is 0.142 kWh and without applying the system 0.163 kWh, proving by applying a hybrid electrical interchange system device more efficient use of PLN electricity due to assistance from PLTS. On-off automation of lights and fans can keep the temperature at an ideal state of 37°C-39°C, thus affecting the egg-hatching process. On-off automation using a relay connected to a mist maker also affects keeping humidity at 55%-65% humidity, humidity also affects the egg-hatching process, where the success rate in hatching eggs is maximized. Based on the results of tests carried out by the hybrid electrical interchange system on IoT-based egg hatchers, it can be concluded that this tool can maintain the stability of temperature and humidity automatically in egg hatchers well until the eggs hatch.
Internet-based Design of Hydroponic Plants Monitoring and Automation Control Systems Parenreng, Jumadi Mabe; Andani, Andi Ferry Adlian Tri; Yahya, Muhammad; Adiba, Fhatiah
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i2.744

Abstract

Melons are one of the fruit types widely favored in the market due to their high content of vitamins, minerals, and water. Melon plants are challenging to cultivate when environmental conditions such as soil and air do not align with their characteristics. One way to address this is through hydroponic cultivation, which reduces the interaction of melon fruits with the air and environment. However, this method has a drawback in that the nutrient solution and water circulation of the plants must be continuously monitored. Therefore, a system is needed to automatically monitor and control the conditions of hydroponic plant growth with the assistance of IoT technology. This research proposes the Design and Implementation of a Monitoring and Automation System for Hydroponic Plant Control Based on the Internet of Things. The hydroponic system, specially designed for melon plants, is equipped with various sensors that can monitor soil nutrients in real time through mobile devices. Based on the test results, the TDS sensor yielded a result of 1313 PPM, the pH Water sensor showed 50.1, and the system also measured air temperature and humidity using DHT22, with air temperature at 29.5°C and humidity at 71.2%.