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A Bibliometric Analysis of Digital Payment in Indonesian MSMEs Ibnu Malik; Muhamad Juliardi
West Science Interdisciplinary Studies Vol. 1 No. 07 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i07.80

Abstract

This paper collects articles using the Publish or Perish software, which includes the top 747 scientific articles indexed by Google Scholar from 2014 to 2023. The purpose of this paper is to analyze how digital payment articles are classified. Furthermore, to identify the research trends in digital payments, determine which research topics have the highest number of publications, and analyze future digital payment topics that provide opportunities for further investigation, All of these objectives are based on the research objectives of Indonesian MSMEs. In the context of this research, we conclude that public awareness regarding the use of digital payment services by MSMEs in Indonesia has been established. Based on the findings of this study, there are also specific issues that can be explored in more detail. Topics such as income, impact, and consumers provide opportunities for further research.
A Bibliometric Analysis of Data Science: Trends, Contributions, and Research Developments Muhamad Juliardi; Ibnu Malik
West Science Interdisciplinary Studies Vol. 1 No. 07 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i07.81

Abstract

This research paper presents an analysis of the collected articles using the Publish or Perish software, consisting of the top 290 scientific articles listed on Google Scholar from 1947 to 2023. The study aims to explore the current state of the data science field in relation to technological advancements and the prevalence of big data. The findings reveal a significant and rapid development in the field, highlighting the importance of topics such as data science, big data, data analysis, and machine learning for further investigation.
A Bibliometric Analysis of Digital Payment in Indonesian MSMEs Ibnu Malik; Muhamad Juliardi
West Science Interdisciplinary Studies Vol. 1 No. 07 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i07.80

Abstract

This paper collects articles using the Publish or Perish software, which includes the top 747 scientific articles indexed by Google Scholar from 2014 to 2023. The purpose of this paper is to analyze how digital payment articles are classified. Furthermore, to identify the research trends in digital payments, determine which research topics have the highest number of publications, and analyze future digital payment topics that provide opportunities for further investigation, All of these objectives are based on the research objectives of Indonesian MSMEs. In the context of this research, we conclude that public awareness regarding the use of digital payment services by MSMEs in Indonesia has been established. Based on the findings of this study, there are also specific issues that can be explored in more detail. Topics such as income, impact, and consumers provide opportunities for further research.
A Bibliometric Analysis of Data Science: Trends, Contributions, and Research Developments Muhamad Juliardi; Ibnu Malik
West Science Interdisciplinary Studies Vol. 1 No. 07 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i07.81

Abstract

This research paper presents an analysis of the collected articles using the Publish or Perish software, consisting of the top 290 scientific articles listed on Google Scholar from 1947 to 2023. The study aims to explore the current state of the data science field in relation to technological advancements and the prevalence of big data. The findings reveal a significant and rapid development in the field, highlighting the importance of topics such as data science, big data, data analysis, and machine learning for further investigation.