Establishing a Hierarchical Model of Research Trends Based on Bibliometric Analysis

A Case Study of ANP Using Bibliometrix in R

Authors

  • Muhammad Dedi Irawan Universitas Islam Negeri Sumatera Utara
  • Ali Ikhwan Universitas Islam Negeri Sumatera Utara
  • Roy Francis Navea De La Salle University

DOI:

https://doi.org/10.55537/spk.v3i2.884

Keywords:

Hierarchical Model, Bibliometric Analysis, Research Trends, Analytic Network Process (ANP)

Abstract

This study utilizes Bibliometrix in R to analyze research trends related to Analytic Network Process (ANP) over the past five years (2019-2024) using a dataset from Web of Science. By analyzing 968 scientific articles, the study not only provides in-depth insights into ANP research trends but also develops a hierarchical model consisting of: 1) Goal – the ANP research trends, 2) Criteria – components of bibliometric analysis such as keyword trends, influential journals, and active countries and authors, and 3) Alternatives – results from bibliometric analysis reflecting topic trends in ANP research. The findings demonstrate that bibliometric analysis can be used to determine criteria and alternatives for ranking research trends and contribute to various Decision Support System (DSS) methods, including AHP and ANP

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Published

2024-09-29

How to Cite

[1]
M. D. Irawan, A. . Ikhwan, and R. F. . Navea, “Establishing a Hierarchical Model of Research Trends Based on Bibliometric Analysis: A Case Study of ANP Using Bibliometrix in R”, SPK dengan Aplikasi, vol. 3, no. 2, pp. 100–113, Sep. 2024.

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