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Rancang Bangun Sistem Monitoring Tanaman Lidah Buaya Menggunakan ESP32 Berbasis IoT Hartanto, Hartanto; Hasan, Hasan; Muzakkir, Taufik; Yuwono Tharam , Medi; Ilyas, Mohd; Radwitya, Erick
Electrical Network Systems and Sources Vol 3 No 1 (2024)
Publisher : entries

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/entries.v3i1.1575

Abstract

Aloe vera grows at temperatures between 16-33°C. Growth is also strongly influenced by humidity. If the humidity of the environment is outside the limit, then the plant will be disrupted growth. For aloe vera plants, which are needed around 80%, the ideal soil humidity is 40%-60% and the ideal pH level for aloe vera plants is 4.5 - 7.0 optimum pH 5.5. The aloe vera plant monitoring system uses a DHT22 sensor, soil pH sensor, and Soil Moisture sensor connected to an ESP32 microcontroller. These sensors read temperature, air humidity, soil moisture, and soil pH. Based on the read values, the system regulates the fan, spotlight, and pH neutralizing pump as well as watering the soil automatically. The fan is turned on when the temperature exceeds 32 degrees Celsius, the floodlight when the air humidity exceeds 80%, and the pH pump activates when the soil pH is less than 4.5, the water pump also waters the soil when the soil moisture is less than 40%. Sensor data is displayed through the Blynk application and LCD making it easier to monitor aloe vera plants.
RANCANG BANGUN SMART AGRICULTURE UNTUK TANAMAN HORTIKULTURA MENGGUNAKAN MIKROKONTROLER pebri, nemisius; Fadillah, Nurul; Chryostomos Hendro Yuwono, Yohanes; Yuwono Tharam , Medi; Rusyda , Nanda
Electrical Network Systems and Sources Vol 3 No 2 (2024)
Publisher : entries

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/entries.v3i2.1640

Abstract

Soil is a primary factor in agriculture that must be carefully considered to achieve optimal results. Irrigation, fertilization, and soil acidity monitoring are crucial for plant growth. Soil moisture influences plant growth, and the type and composition of the soil also play an important role. Automated drip irrigation and soil pH monitoring methods are essential for horticultural plants to grow well and efficiently. An automatic drip irrigation system, scheduled fertilization, and soil pH monitoring aid in plant growth and monitoring efficiency. This device uses capacitive sensors to detect soil moisture and pH levels. If the soil moisture is below 45%, the water pump will activate until the moisture reaches 75%. The detected moisture and pH levels are displayed on an LCD. The Arduino Uno controls the moisture using a soil moisture sensor, displaying wet or dry conditions. The pH sensor displays the soil acidity level ranging from 2 to 14 on the LCD.
Sistem Monitoring dan Smart Farming untuk Peternakan Anak Ayam Berbasis Internet of Things (IoT) Eka Prasetya, Erlangga; Fadillah, Nurul; Satriyo, Satriyo; Rusman, Rusman; Yuwono Tharam , Medi
Electrical Network Systems and Sources Vol 2 No 2 (2023)
Publisher : entries

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/entries.v3i2.1632

Abstract

This final project discusses the implementation of an Internet of Things (IoT)-based Monitoring System and Smart Farming for chicken farming. This technological innovation aims to enhance productivity and sustainability in the livestock industry. By connecting sensors to the IoT network, farmers can monitor the real-time conditions of the poultry house, such as temperature, humidity, and air quality. The objective of this writing is to design an IoT-based monitoring and smart farming system specifically for use in chicken farming. This system will enable real-time area monitoring, automation of feeding and drinking processes, and data management for farmers. The benefits of this proposal for students include enhancing knowledge about IoT and monitoring systems in the field of poultry farming. In related fields of study, this final project will provide an understanding of IoT application in agriculture and livestock. Meanwhile, for farmers and the livestock industry, the benefits lie in improving the productivity and quality of poultry farming.