The Role of Genetics in Domestic Research on Forestry Issues: A Text
Mining Analysis

The Role of Genetics in Domestic Research on Forestry Issues: A Text
Mining Analysis

data science, forestry issue, genetic diversity

As a megadiverse country, Indonesia has plentiful genetic resources. The interest of domestic researchers in it and its relation
to forestry scope is the focus of this paper. The objective is to determine the genetics aspects represented in forestry scholarly
articles. Text mining analysis is carried out for the abstract articles, followed by topic modeling and trend analysis. Python
libraries were used to conduct this research. Garuda website was the main source of the data collection. Natural language
Toolkits (NLTK) were used to retrieve article information from Garuda. Sci-kit learn (SKLearn) of Latent Dirichlet Allocation
module was used for topic modeling analysis, and pyLDAVis was used to represent it. SKLearn was also used for trending
analysis. After article text retrieval, three topic clusters were found: forest diversity, products, and land use. The topics were
scattered in 1966 abstract articles that were found during data retrieval. Article growth showed the quadratic pattern known
after regression analysis. The trend showed the rapid growth of topics and scholars' interest, but the number of articles was
low compared to the total articles on the Garuda portal

Titis Hutama Syah

Sekolah Tinggi Pertanian Kutai Timur

: 29-12-2022

Fajar bagus W

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Indonesia

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