Three Years Journal Of IJSTM ( International Journal Of Science Technology & Management : Inarah ) : A Bibliometric Analysis

International Journal of Science ,Technology & Management (IJSTM: Inarah) is an internationally reputed journal with a Copernicus index that publishes original, peer-reviewed, and empirical research in science, technology and management. The use of technology in real business activities is often found in IJSTM journal articles. This journal has reached its 3rd year of publication in 2019. Using bibliometric techniques, we analyze based on the journal's authors, salient topics, and the most prolific authors, including institutions and affiliated countries as well as .topic relationships between articles. In network analysis using VOSviewer software, the results of IJSTM publications based on the linkage of articles are that there are two clusters.

ISSN: 2722 -4015 http://ijstm.inarah.co.id institutions and affiliated countries as well as the number of clusters of linkages in the article.

II. METHODS
In making data, the author performs several stages, including: a. By using Publish and perish searching for articles on Google Scholar, this is often done in conducting bibliometric analysis.
b. Using the keywords International Journal of science & technology management (IJSTM Inarah.co.id), the authors found 308 articles c. Selecting from 308 articles that meet the criteria for these keywords, 294 articles are generated.
While the data analysis is as follows: a. Data analysis using descriptive analysis That is, analyzing from excerpts of papers, basing bibliometric studies on documents cited as their intellectual basis. Affiliation, author, country of origin and the relationship of topics between articles based on titles and abstracts.
b. Analyzing Network That is, the author analyzes the article network map using the Vos Viewer, to see the interrelationships between articles and other authors and also the number of clusters formed based on the interrelationships between these articles. (Sajovic et al., 2018), (Arifin et al., 2021) III.
RESULT AND DISCUSSION 1.
Descriptive of the most prominent citation articles From the analysis, an overview of the most cited articles from the IJSTM journal is generated from the beginning of 2019 to 2021, as shown in the following

Source: data processed with Publish and Perish (2021)
From the table, Indonesia is the country with the most affiliated with 290 articles, then China 2 articles, India 1 article and Malaysia 1 article. In the future the number of countries can increase even more, considering the age of the IJSTM Journal is still 3 years old.
6. Network analysis a.
IJSTM article grouping Based on the bibliograph (Kessler, 1994) explain that scientific work can show intellectual similarity through their reference pattern. If there are two articles citing the same third article, it can be interpreted that the two articles discuss and emphasize the

Source: data processed with Publish and Perish (2021) b. IJSTM Article Writer Cluster
From the results of the analysis with the criteria for the number of authors at least 3 and the number of documents published at least 3 as well as from the article abstract, it has been formed into 2 clusters that have a relationship, namely Cluster 1: T Kuncara, AS Putra and Cluster 2: W Segoro For more details can be seen in the following table:  Figure 1. Where the closeness between the two journals in the visual can show the relationship related to the journal with citations. In general, the closer two journals are to each other, the closer the relationship, the larger the line.

Linkage network image
From the picture, it shows that the network linkage includes 3 article authors, namely T Kuncara, AS Putra and Kluster and W Segoro.

Density Visualization
Based on the article (van Eck & Waltman, 2010)in discussing the technical implementation of density visualization. In the visual image, it can be explained by the color in the visual. Where the color of the image is from blue to green to yellow. The larger the number in the area around the dot, the higher the weight, the closer the color to the yellow dot, the smaller the number of links, the closer the blue color. This can be seen in Figure 1 below.  Figure 1. Where the closeness between the two journals in the visual can show the relationship related to the journal with citations. In general, the closer two journals are to each other, the closer the relationship, the larger the line.

Fig 1.Overlay Visualization
While Based on the article (van Eck & Waltman, 2010) ,When discussing the technical implementation of density visualization. Visual images can be explained by visual colors. Image colors range from blue to green to yellow. The higher the number around the point, the heavier the weight, the closer the color is to the yellow point, the fewer links, and the closer to blue. This can be seen in Figure 1 below.

Fig 2.Density Visualization
From the picture, with Viosviewer analysis, it can be grouped into 4 article topics in IJSTM journal publications, including: 1. Cluster 1: Covid Cluster 1 is the topic of the Covid pandemic, while the closest relationship to this covid is the topic of Education, level, pandemic, patient, person, type.

2.
Cluster 2: Activity Cluster 1 is the topic about Activity. In cluster n2, the topic closest to this activity is the topic of Farmer, Process, Level, and Use. Cluster 3: Company In Cluster 1, the topic is about Activity. In Cluster 3, the topic closest to the Company is the topic of Impact, Management, Level, and Manager.

4.
Cluster 4: Case Study This fourth cluster is related to Case Study. In cluster 4, the topic closest to Case Study is the topic of Development and Role.