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Rancang Bangun Sistem Monitoring Volume Air pada Tandon dengan Metode Kapasitif Berbasis IoT Wijaya, Tanto; Ridhwan Sufandi, Muhammad; Rusyda Saufa, Nanda; Ilyas Hadikusuma, Mohd; Chryostomos Hendro Yuwono, Yohanes
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.v3i2.1624

Abstract

This research focuses on developing an IoT-based capacitive sensing system for monitoring water volume in tanks, suitable for specific residential and industrial applications. The main capacitive sensor utilizes a 32 cm x 6 cm x 2 mm aluminum plate coated with resin to protect against moisture and contaminants. Initial evaluations demonstrated high sensitivity and rapid response in detecting liquid levels, with an 8.23% margin of error. However, further evaluation is necessary to address specific aspects such as resolution and response stability. Next steps include refining the design, conducting additional experiments, and optimizing sensor parameters. These findings aim to provide deeper insights into capacitive sensor technology and open new possibilities for its application across various technological contexts.
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.