IoT-Based Humidity Control System for Electrospinning

Authors

  • Luluk Arifatul Hikamiah Department of Physics Education, Universitas Sebelas Maret
  • Dewa Pascal Ariyanto Department of Physics Education, Universitas Sebelas Maret
  • Della Astri Widayani Department of Physics Education, Universitas Sebelas Maret
  • Panji Setyo Nugroho Department of Physics Education, Universitas Sebelas Maret
  • Jasmine Cupid Amaratirta Department of Physics Education, Universitas Sebelas Maret
  • Dewanto Harjunowibowo Department of Physics Education, Universitas Sebelas Maret
  • Yulianto Agung Rezeki Department of Physics Education, Universitas Sebelas Maret, Surakarta

DOI:

https://doi.org/10.23887/janapati.v13i2.75896

Keywords:

Electrospinning, Humidity, Humidity Control System, IoT, DHT22, Blynk

Abstract

In recent years, electrospinning has become the most common and most widely used nanofiber manufacturing method. One parameter affecting the manufacturing process is the humidity parameter, which affects the morphology. The control tools that have been developed have not been equipped with a remote control and monitoring system. This research aims to develop a humidity control system that can be controlled and monitored remotely and is equipped with data recapitulation. This research used methods from literature studies on humidity control systems, manufacture and assembly of hardware and software, calibration, and performance tests. A humidity control device is produced using a NodeMCU microcontroller connected to the IoT-based Blynk application. This can be controlled and monitored manually with an LCD and Keypad or by using a handphone through the Blynk application, and the humidity value can be recapitulated with Google Sheets in real-time. The sensor used for reading this humidity value is a DHT 22 sensor which has an accuracy value of 99.72% and a precision of 98.81% for 45%-95% humidity. This IoT-based humidity control system device can automate the process of controlling, monitoring, and recapitulating humidity data in real-time.

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Published

2024-07-27

How to Cite

Hikamiah, L. A., Ariyanto, D. P. ., Widayani, D. A. ., Nugroho, P. S. ., Amaratirta, J. C. ., Harjunowibowo, D. ., & Rezeki, Y. A. (2024). IoT-Based Humidity Control System for Electrospinning. Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI, 13(2), 371–381. https://doi.org/10.23887/janapati.v13i2.75896

Issue

Vol. 13 No. 2 (2024)

Section

Articles

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Copyright (c) 2024 Luluk Arifatul Hikamiah, Dewa Pascal Ariyanto, Della Astri Widayani, Panji Setyo Nugroho, Jasmine Cupid Amaratirta, Dewanto Harjunowibowo, Yulianto Agung Rezeki

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