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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 34, Number 10(2) (2022)
Copyright(C) MYU K.K.
pp. 3813-3822
S&M3078 Research Paper of Special Issue
https://doi.org/10.18494/SAM4094
Published: October 24, 2022

Remote Accessible PC-based Data Acquisition System [PDF]

Pratikto, Muhammad Arman, Ismail Wellid, Nur Khakim, Yean-Der Kuan, and Raydha Zul Fitriani

(Received May 19, 2022; Accepted October 4, 2022)

Keywords: remote access, DAQ, Google Drive, IoT, Google Apps Script

PC-based data acquisition (DAQ) systems are irreplaceable in terms of capacity and flexibility for data processing. Data acquisition systems serving IoT are a recent development trend. It is necessary to develop a remotely accessible PC-based DAQ system. In this paper, we present a PC-based DAQ system that can be accessed remotely via the internet. The system consists of several sensors connected to a microcontroller. A two-sided application is developed to set up data access, namely, a local application on the DAQ PC and a web-based application in Google Drive (GD) that can interact with applications on the PC. Local data can then be sent to GD and accessed remotely from a PC. Applications on local PCs will provide a user interface (UI) for managing the data, while those on GD will provide access from the internet. The mean time delay for sending data from a PC to Google Sheets is 2.346 s with minimum and maximum values of 0.874 and 5.863 s, respectively.

Corresponding author: Yean-Der Kuan


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Pratikto, Muhammad Arman, Ismail Wellid, Nur Khakim, Yean-Der Kuan, and Raydha Zul Fitriani, Remote Accessible PC-based Data Acquisition System, Sens. Mater., Vol. 34, No. 10, 2022, p. 3813-3822.



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