Optimization of Electrospinning Temperature Control System IoT-Based with DHT21

Electrospinning is a method of making nanomaterials that has a fairly easy and flexible process that can produce nanofiber continuously. Nanofiber morphology from the electrospinning process is influenced by several parameters, one of them is temperature as an environmental parameter. If there is no...

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Main Authors: Della Astri Widayani, Luluk Arifatul Hikamiah, Panji Setyo Nugroho, Dewa Pascal Ariyanto, Jasmine Cupid Amaratirta, Dewanto Harjunowibowo, Yulianto Agung Rezeki
Format: Article
Language:English
Published: Universitas Syiah Kuala 2024-12-01
Series:Jurnal Rekayasa Elektrika
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Online Access:https://jurnal.usk.ac.id/JRE/article/view/37537
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author Della Astri Widayani
Luluk Arifatul Hikamiah
Panji Setyo Nugroho
Dewa Pascal Ariyanto
Jasmine Cupid Amaratirta
Dewanto Harjunowibowo
Yulianto Agung Rezeki
author_facet Della Astri Widayani
Luluk Arifatul Hikamiah
Panji Setyo Nugroho
Dewa Pascal Ariyanto
Jasmine Cupid Amaratirta
Dewanto Harjunowibowo
Yulianto Agung Rezeki
author_sort Della Astri Widayani
collection DOAJ
description Electrospinning is a method of making nanomaterials that has a fairly easy and flexible process that can produce nanofiber continuously. Nanofiber morphology from the electrospinning process is influenced by several parameters, one of them is temperature as an environmental parameter. If there is no temperature control system in the electrospinning system, it will be difficult to maintain the consistency of the morphology nanofiber and at certain temperatures, nanofibers are not formed. Therefore, this study aims to develop a temperature control system for electrospinning called the Electrospinning Temperature Control (ETC) System and connect it with an internet-of- things (IoT) platform to understand the dynamics of the temperature control process, upload temperature data to the cloud, and remote monitoring. The method used by designing and building system hardware and software, calibrating DHT21 as a temperature sensor and testing system performance. The results show that the calibration of the DHT21 sensor has an accuracy rate of 94.95% and a precision rate of 98.93%, while the results of the performance test show that the system can raise, maintain, and lower the temperature. Further performance testing reveals that the ETC system can operate within a temperature range of 20−40°C. The IoT system using the Blynk App allows users to remote and monitor easily, and using Google Sheets as a cloud database. The ETC system was successfully built and can be applied to electrospinning experiments.
format Article
id doaj-art-0259833ff63e43108aef59b14591567a
institution Kabale University
issn 1412-4785
2252-620X
language English
publishDate 2024-12-01
publisher Universitas Syiah Kuala
record_format Article
series Jurnal Rekayasa Elektrika
spelling doaj-art-0259833ff63e43108aef59b14591567a2025-01-23T08:23:01ZengUniversitas Syiah KualaJurnal Rekayasa Elektrika1412-47852252-620X2024-12-0120410.17529/jre.v20i4.3753719212Optimization of Electrospinning Temperature Control System IoT-Based with DHT21Della Astri Widayani0Luluk Arifatul Hikamiah1Panji Setyo Nugroho2Dewa Pascal Ariyanto3Jasmine Cupid Amaratirta4Dewanto Harjunowibowo5Yulianto Agung Rezeki6Department of Physics Education, Universitas Sebelas MaretDepartment of Physics Education, Universitas Sebelas MaretDepartment of Physics Education, Universitas Sebelas MaretDepartment of Physics Education, Universitas Sebelas MaretDepartment of Physics Education, Universitas Sebelas MaretDepartment of Physics Education, Universitas Sebelas MaretDepartment of Physics Education, Universitas Sebelas MaretElectrospinning is a method of making nanomaterials that has a fairly easy and flexible process that can produce nanofiber continuously. Nanofiber morphology from the electrospinning process is influenced by several parameters, one of them is temperature as an environmental parameter. If there is no temperature control system in the electrospinning system, it will be difficult to maintain the consistency of the morphology nanofiber and at certain temperatures, nanofibers are not formed. Therefore, this study aims to develop a temperature control system for electrospinning called the Electrospinning Temperature Control (ETC) System and connect it with an internet-of- things (IoT) platform to understand the dynamics of the temperature control process, upload temperature data to the cloud, and remote monitoring. The method used by designing and building system hardware and software, calibrating DHT21 as a temperature sensor and testing system performance. The results show that the calibration of the DHT21 sensor has an accuracy rate of 94.95% and a precision rate of 98.93%, while the results of the performance test show that the system can raise, maintain, and lower the temperature. Further performance testing reveals that the ETC system can operate within a temperature range of 20−40°C. The IoT system using the Blynk App allows users to remote and monitor easily, and using Google Sheets as a cloud database. The ETC system was successfully built and can be applied to electrospinning experiments.https://jurnal.usk.ac.id/JRE/article/view/37537blynk appdht21electrospinning temperature controlesp8266nodemcu
spellingShingle Della Astri Widayani
Luluk Arifatul Hikamiah
Panji Setyo Nugroho
Dewa Pascal Ariyanto
Jasmine Cupid Amaratirta
Dewanto Harjunowibowo
Yulianto Agung Rezeki
Optimization of Electrospinning Temperature Control System IoT-Based with DHT21
Jurnal Rekayasa Elektrika
blynk app
dht21
electrospinning temperature control
esp8266
nodemcu
title Optimization of Electrospinning Temperature Control System IoT-Based with DHT21
title_full Optimization of Electrospinning Temperature Control System IoT-Based with DHT21
title_fullStr Optimization of Electrospinning Temperature Control System IoT-Based with DHT21
title_full_unstemmed Optimization of Electrospinning Temperature Control System IoT-Based with DHT21
title_short Optimization of Electrospinning Temperature Control System IoT-Based with DHT21
title_sort optimization of electrospinning temperature control system iot based with dht21
topic blynk app
dht21
electrospinning temperature control
esp8266
nodemcu
url https://jurnal.usk.ac.id/JRE/article/view/37537
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AT dewapascalariyanto optimizationofelectrospinningtemperaturecontrolsystemiotbasedwithdht21
AT jasminecupidamaratirta optimizationofelectrospinningtemperaturecontrolsystemiotbasedwithdht21
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