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Conducting Polymers for Wearable Sensors: A Bibliometric Analysis Using VOSviewer Mora, Abraham; Aziz, Arrizal Abdul
Hydrogen: Jurnal Kependidikan Kimia Vol 12, No 1 (2024): February 2024
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/hjkk.v12i1.10435

Abstract

The objective of this study is to conduct a bibliometric analysis using VOSviewer on the research progress of the conducting polymer for wearable sensors topic. Data was extracted from the Dimensions database from 2014 to August 2023. 268 Dimensions articles were relevant to the keywords. The title and abstract from the metadata were employed to be analyzed for co-occurrence using VOSviewer. As a result, 9544 terms were obtained through the search method, but only 184 met the threshold of 10 minimum occurrences in all retrieved articles and were selected for further analysis. There was a consistent upward trend in publication numbers between 2014 to August 2023. Based on the network visualization of keyword co-occurrence, it evidenced six clusters that group all specific keywords based on the common themes. The most recent keywords (occurred between 2021 and 2022) included conductive hydrogel, polymer hydrogel, flexible sensor, MXene, strain sensor, and stretchable strain sensor. Based on this study, it is suggested to discover more about conducting and flexible hydrogel materials and the possibilities to enhance the electrical and mechanical properties of conducting polymers by introducing MXene. The materials are viewed for applications such as flexible strain sensors and other wearable sensors.
Utilization of Disposable Mask Waste and Coconut Fiber as an Acoustic Composite Material Ramadhani, Khairunnissa; Aziz, Arrizal Abdul; Ramadhan, Miftahul Akbar; Alifah, Amara Huaida; Ramadhan, Try
Dimensi: Journal of Architecture and Built Environment Vol. 51 No. 2 (2024): DECEMBER 2024
Publisher : Institute of Research and Community Outreach, Petra Christian University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/dimensi.51.2.107-112

Abstract

This research aims to utilize disposable mask waste and coconut fiber as an acoustic composite material and identify its sound absorption characteristics. The method used in this research is an experiment to produce four samples with different non-woven polypropylene and coconut fiber composition. The samples went through multiple tests to identify its morphology, mass change in different temperatures, density, and sound absorption coefficient. The result of this research shows that these materials display sound absorption characteristics and can be applied for acoustic purposes. Acoustic material with 100% non-woven polypropylene displays the best sound absorber characteristics, especially for 500Hz frequency sound. However, acoustic material with composition of 90% non-woven polypropylene and 10% coconut fiber shows a better sound absorption coefficient in 2000Hz frequency.
Conducting Polymers for Wearable Sensors: A Bibliometric Analysis Using VOSviewer Mora, Abraham; Aziz, Arrizal Abdul
Hydrogen: Jurnal Kependidikan Kimia Vol. 12 No. 1 (2024): February 2024
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/hjkk.v12i1.10435

Abstract

The objective of this study is to conduct a bibliometric analysis using VOSviewer on the research progress of the conducting polymer for wearable sensors topic. Data was extracted from the Dimensions database from 2014 to August 2023. 268 Dimensions articles were relevant to the keywords. The title and abstract from the metadata were employed to be analyzed for co-occurrence using VOSviewer. As a result, 9544 terms were obtained through the search method, but only 184 met the threshold of 10 minimum occurrences in all retrieved articles and were selected for further analysis. There was a consistent upward trend in publication numbers between 2014 to August 2023. Based on the network visualization of keyword co-occurrence, it evidenced six clusters that group all specific keywords based on the common themes. The most recent keywords (occurred between 2021 and 2022) included conductive hydrogel, polymer hydrogel, flexible sensor, MXene, strain sensor, and stretchable strain sensor. Based on this study, it is suggested to discover more about conducting and flexible hydrogel materials and the possibilities to enhance the electrical and mechanical properties of conducting polymers by introducing MXene. The materials are viewed for applications such as flexible strain sensors and other wearable sensors.