Pengembangan Karakterisasi Gelembung Mikro Menggunakan Metode PIV beserta Pemantauan dengan IOT

The development of microbubble technology has been widely used in various fields. One of these areas is sterilization technology using microbubbles to speed up and increase the effectiveness of the sterilization process. One example is room sterilization using vaporized ozone gas microbubbles which...

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Autores principales:	Taufik Ibnu Salim, Endang Juliastuti, Vebi Nadhira
Formato:	article
Lenguaje:	ID
Publicado:	Ikatan Ahli Indormatika Indonesia 2021
Materias:	piv, shading techniques, template matching, microbubble Systems engineering TA168 Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/2a5580d9375a4aaaba844995369ec541
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id	oai:doaj.org-article:2a5580d9375a4aaaba844995369ec541
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spelling	oai:doaj.org-article:2a5580d9375a4aaaba844995369ec5412021-11-16T13:16:11ZPengembangan Karakterisasi Gelembung Mikro Menggunakan Metode PIV beserta Pemantauan dengan IOT2580-076010.29207/resti.v5i5.3508https://doaj.org/article/2a5580d9375a4aaaba844995369ec5412021-10-01T00:00:00Zhttp://jurnal.iaii.or.id/index.php/RESTI/article/view/3508https://doaj.org/toc/2580-0760The development of microbubble technology has been widely used in various fields. One of these areas is sterilization technology using microbubbles to speed up and increase the effectiveness of the sterilization process. One example is room sterilization using vaporized ozone gas microbubbles which can minimize the spread of the Covid-19 virus. However, research and development of microbubbles are still not much related to the characterization of their size and hydrodynamic properties. In this study, we propose the development of a continuous characterization of the size of microbubbles using the image analysis method. Image analysis aims to find the displacement vector using particle image velocimetry (PIV) techniques. The Hadamard-Rybczynski equation was used to calculate the size of the microbubbles based on the rising velocity vector of the microbubbles. The image capture process uses an LED light shadow technique to get a brighter and more stable image. The template matching algorithm is used to speed up the displacement vector analysis process used in the PIV technique. The analysis process is carried out in-situ in parallel processing using the python program on the raspberry pi4 unit. The analysis process uses three program services that run parallel, namely recording, pre-processing, and processing services. The measurement process uses three validations, namely pixel validation, template matching algorithm validation, and interrogation window. Bubble size data is displayed in the form of real-time graphs and size distribution histograms online using IoT. The test results show the size distribution of the microbubbles produced has an average of 14.60 µm with a deviation value of 0.11µm.Taufik Ibnu SalimEndang JuliastutiVebi NadhiraIkatan Ahli Indormatika Indonesiaarticlepiv, shading techniques, template matching, microbubbleSystems engineeringTA168Information technologyT58.5-58.64IDJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 5, Iss 5, Pp 950-957 (2021)
institution	DOAJ
collection	DOAJ
language	ID
topic	piv, shading techniques, template matching, microbubble Systems engineering TA168 Information technology T58.5-58.64
spellingShingle	piv, shading techniques, template matching, microbubble Systems engineering TA168 Information technology T58.5-58.64 Taufik Ibnu Salim Endang Juliastuti Vebi Nadhira Pengembangan Karakterisasi Gelembung Mikro Menggunakan Metode PIV beserta Pemantauan dengan IOT
description	The development of microbubble technology has been widely used in various fields. One of these areas is sterilization technology using microbubbles to speed up and increase the effectiveness of the sterilization process. One example is room sterilization using vaporized ozone gas microbubbles which can minimize the spread of the Covid-19 virus. However, research and development of microbubbles are still not much related to the characterization of their size and hydrodynamic properties. In this study, we propose the development of a continuous characterization of the size of microbubbles using the image analysis method. Image analysis aims to find the displacement vector using particle image velocimetry (PIV) techniques. The Hadamard-Rybczynski equation was used to calculate the size of the microbubbles based on the rising velocity vector of the microbubbles. The image capture process uses an LED light shadow technique to get a brighter and more stable image. The template matching algorithm is used to speed up the displacement vector analysis process used in the PIV technique. The analysis process is carried out in-situ in parallel processing using the python program on the raspberry pi4 unit. The analysis process uses three program services that run parallel, namely recording, pre-processing, and processing services. The measurement process uses three validations, namely pixel validation, template matching algorithm validation, and interrogation window. Bubble size data is displayed in the form of real-time graphs and size distribution histograms online using IoT. The test results show the size distribution of the microbubbles produced has an average of 14.60 µm with a deviation value of 0.11µm.
format	article
author	Taufik Ibnu Salim Endang Juliastuti Vebi Nadhira
author_facet	Taufik Ibnu Salim Endang Juliastuti Vebi Nadhira
author_sort	Taufik Ibnu Salim
title	Pengembangan Karakterisasi Gelembung Mikro Menggunakan Metode PIV beserta Pemantauan dengan IOT
title_short	Pengembangan Karakterisasi Gelembung Mikro Menggunakan Metode PIV beserta Pemantauan dengan IOT
title_full	Pengembangan Karakterisasi Gelembung Mikro Menggunakan Metode PIV beserta Pemantauan dengan IOT
title_fullStr	Pengembangan Karakterisasi Gelembung Mikro Menggunakan Metode PIV beserta Pemantauan dengan IOT
title_full_unstemmed	Pengembangan Karakterisasi Gelembung Mikro Menggunakan Metode PIV beserta Pemantauan dengan IOT
title_sort	pengembangan karakterisasi gelembung mikro menggunakan metode piv beserta pemantauan dengan iot
publisher	Ikatan Ahli Indormatika Indonesia
publishDate	2021
url	https://doaj.org/article/2a5580d9375a4aaaba844995369ec541
work_keys_str_mv	AT taufikibnusalim pengembangankarakterisasigelembungmikromenggunakanmetodepivbesertapemantauandenganiot AT endangjuliastuti pengembangankarakterisasigelembungmikromenggunakanmetodepivbesertapemantauandenganiot AT vebinadhira pengembangankarakterisasigelembungmikromenggunakanmetodepivbesertapemantauandenganiot
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Pengembangan Karakterisasi Gelembung Mikro Menggunakan Metode PIV beserta Pemantauan dengan IOT

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