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IMPLEMENTASI INTERNET OF THINGS UNTUK PEMANTAUAN SUHU DAN KELEMBAPAN PADA ELECTROSPINNING SECARA REAL-TIME

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This study aims to design and implement a real-time temperature and humidity monitoring system based on the Internet of Things (IoT) for the electrospinning process. The system utilizes a DHT22 sensor, NodeMCU ESP32 microcontroller, and the Blynk application for remote monitoring and automated fan control. Calibration of the DHT22 sensor against a digital thermo-hygrometer showed an average error of 0.21 for temperature and 0.25 for humidity, with R-square values above 0.999 and a Pearson correlation close to 1, indicating high accuracy and linearity. System testing revealed that data displayed on both the LCD and the Blynk application matched the sensor readings with over 99% conformity. The system automatically activated the fan when the temperature reached ≥27 °C or humidity ≥50, effectively reducing humidity and stabilizing the chamber temperature. Moreover, the system successfully performed real-time remote monitoring across multiple locations with consistent data, proving its reliability. These results demonstrate that the developed IoT-based system functions optimally in maintaining a stable environment, which is crucial for producing high-quality nanofiber in the electrospinning process

Availability
Inventory Code Barcode Call Number Location Status
2507004995T181485T1814852025Central Library (REFRENCE)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1814852025
Publisher
Indralaya : Prodi Ilmu Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sriwijaya.,
Collation
xi, 48 hlm.; ilus.; tab, 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
004.607
Content Type
Text
Media Type
unmediated
Carrier Type
other (computer)
Edition
-
Subject(s)
Prodi Ilmu Fisika
Internet of Things (IoT)
Specific Detail Info
-
Statement of Responsibility
Other version/related
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