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All Journal Jurnal ULTIMA InfoSys Journal of Governance Risk Management Compliance and Sustainability IJISCS (International Journal of Information System and Computer Science)
Nugroho, Antonius Sony Eko
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Environmental Science Social Sciences Other

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A Bibliometric Analysis of The Term DataOps Nugroho, Antonius Sony Eko; Wella, Wella
ULTIMA InfoSys Vol 15 No 1 (2024): Ultima Infosys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i1.3450

Abstract

This paper aims to analyze research trends of the term DataOps scientifically through bibliometric studies. Initial data were collected from Scopus database from 2018 to 2023 which resulted 34 documents, while in other hands we found more than 1000 documents in the Google Scholar database collected using Publish or Perish. Five years of data is collected because the scientific publications on term DataOps started to increase since 2018. We have deployed ``bibliometrix 3.0'', the r-package, and VOSviewer to analyze key literature aspects. Since the rise of the term DataOps, significant contribution to its definition and practical applications can be observed. DataOps enthusiasts collaborate to create a common principle for uniformly applying the methodology in the various data operation environments. DataOps will continue to evolve into an effective and reliable data management system. The findings in this study will help related researchers recognize the research trends of topics in DataOps research globally and suggest future research directions.
Research Trend of Digital Innovation in Banking: A Bibliometric Analysis Nugroho, Antonius Sony Eko; Hamsal, Mohammad
Journal of Governance Risk Management Compliance and Sustainability Vol. 1 No. 2 (2021): October Volume
Publisher : Center for Risk Management & Sustainability and RSF Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.601 KB) | DOI: 10.31098/jgrcs.v1i2.720

Abstract

This paper aims to analyze research trends of Digital Innovation in Banking scientifically through bibliometric studies. Initial data were collected using Publish or Perish from 2011 to 2021 by searching for published papers indexed by Crossref, Google Scholar, Microsoft Academic, and Scopus database. The results show that scientific publications of Digital Innovation in Banking have increased gradually since 2016. The Scopus database is used because it contains journals and conference proceedings deemed more relevant by the academic community with detailed DOIs. VOSviewer and Microsoft excel were used as the tools to analyze co-authorship, co-occurrence, and citation obtained from the Scopus database. The visualization of the research trends of Digital Innovation in Banking resulted in three co-occurrence clusters leading to some of the topic areas mentioned in the results; 1) Digital Innovation in Banking related to the technology implementation and environmental innovations, 2) Digital Innovation in Banking business management in the world, and 3) Digital Innovation in Banking in relating to its effect and benefit to society. Technology is rapidly changing the financial services industry, especially banks. Digital innovation resulting from the use of digital technology will help banking improve customer experience and maintain banking performance. These study findings will help researchers recognize the research trends of Digital Innovation in Banking globally and suggest future research directions.
INTERNAL RESEARCH BUDGET PROPOSAL FEATURES DEVELOPMENT ON RESEARCH AND COMMUNITY OUTREACH SERVICES WEB-BASED INFORMATION SYSTEM AT PRIVATE CAMPUS Noveriyanti, Dea; Wiratama, Jansen; Permana, Angga Aditya; Wijaya, Santo Fernandi; Nugroho, Antonius Sony Eko
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1595

Abstract

Service processes using conventional methods have many limitations and have the potential to result in data accumulation and repetitive work. Transforming a service model that initially used Linktree into an Information System has become necessary for the Research and Community Service Institute (LPPM) of Multimedia Nusantara University (UMN). One of the features developed is the budget Proposal of Internal Research service feature. The Agile Development Method, a renowned software development methodology, is used to optimize the feature development of the RCOS Information System. The development process is carried out by benchmarking, user interviews, and prototyping, following the stages contained in the Agile Development Method. The leverage of the Laravel framework and Tailwind CSS play a pivotal role in developing a website-based RCOS information system. The service model was successfully transformed using the RCOS feature, and the test results with the User Acceptance Test (UAT) show that the Budget Proposal of Internal Research features in the RCOS information system can function well following the UMN LPPM service needs.
A Bibliometric Analysis of The Term DataOps Nugroho, Antonius Sony Eko; Wella, Wella
ULTIMA InfoSys Vol 15 No 1 (2024): Ultima Infosys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i1.3450

Abstract

This paper aims to analyze research trends of the term DataOps scientifically through bibliometric studies. Initial data were collected from Scopus database from 2018 to 2023 which resulted 34 documents, while in other hands we found more than 1000 documents in the Google Scholar database collected using Publish or Perish. Five years of data is collected because the scientific publications on term DataOps started to increase since 2018. We have deployed ``bibliometrix 3.0'', the r-package, and VOSviewer to analyze key literature aspects. Since the rise of the term DataOps, significant contribution to its definition and practical applications can be observed. DataOps enthusiasts collaborate to create a common principle for uniformly applying the methodology in the various data operation environments. DataOps will continue to evolve into an effective and reliable data management system. The findings in this study will help related researchers recognize the research trends of topics in DataOps research globally and suggest future research directions.
Co-Authors Angga Aditya Permana Mohammad Hamsal Noveriyanti, Dea Santo Fernandi Wijaya Wella, Wella Wiratama, Jansen