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All Journal Matra Pembaruan: Jurnal Inovasi Kebijakan Jurnal Ilmu Pemerintahan Suara Khatulistiwa Jurnal Pemerintahan dan Kebijakan (JPK) Civitas Consecratio: Journal of Community Service and Empowerment
Mutia Rahmah
Institut Pemerintahan Dalam Negeri
Humanities Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Journal : Jurnal Pemerintahan dan Kebijakan (JPK)

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Bibliometric Analysis: Forest Fire Controlling Policy in Indonesia Mutia Rahmah
Jurnal Pemerintahan dan Kebijakan (JPK) Vol 3, No 2 (2022): April
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jpk.v3i2.14353

Abstract

This study aims to identify and analyze the intensity of research developments with the topic of forest fire controlling policy in Indonesia in the last five years from 2017 to 2021 through bibliometric analysis. The research method uses a literature review with data collection through the publish or perish software from the google scholar database with the keywords “forest fire Indonesia,” “forest fire management, Indonesia,” forest fire control, Indonesia,” and “forest fire policy, Indonesia.” Data analysis using the VOSviewer application. The results showed 154 journal articles discussing forest fire controlling policy in Indonesia between 2017 and 2021 accessed on December 18, 2021. The term "implementation" became the most central and widely discussed term in previous studies. As a comparison, in 2021, the terms "coordination policy" and "annual forest fire” will be the last issues to be discussed. The limitation of this study is research using the Google Scholar database. It is open to all articles, including journals, reports, papers assignments, and articles that have been uploaded to the Google database. In addition, incomplete metadata such as year and source of publication become undetectable when filtered. Following research, more analysis will be conducted using other indexing databases like Scopus or Web of Science.
Co-Authors Hardiyanto Rahman Muchlis Hamdi Muchlis Hamdi Nur Saribulan