scholarly journals Produktivitas Pengarang Menggunakan Hukum Lotka Dengan Teknik Complete Count Pada Jurnal Kedokteran YARSI Tahun 2009-2018

2020 ◽  
Vol 1 (1) ◽  
pp. 1-12
Author(s):  
Danang Dwijo Kangko ◽  
Rahmadhani Rahmadhani ◽  
Elfitri Kurnia Erza
Keyword(s):  
Medical Journal ◽  
Journal Article ◽  
Science Research ◽  
Analysis Data ◽  
Critical Value ◽  
Maximum Deviation ◽  
Author Productivity ◽  
Lotka’S Law ◽  
Complete Count ◽  
Productivity Pattern

Researchers research to develop science. Research results are published as a form of scientific communication. One type of scientific publication is a journal article. YARSI Medical Journal is a peer-reviewed journal in the field of medicine and health that is open to the public owned by YARSI University. The author's productivity patterns in the YARSI Medical Journal so far are unknown. Author productivity is the number of papers produced by the author on a particular subject and published in scientific journals in a certain period. This study aims to (1) Determine the author's productivity patterns using Lotka's Law with complete count techniques in YARSI Medical Journal 2009-2018; (2) Testing the suitability of the frequency of Lotka's Law with the author's frequency distribution using the complete count technique in YARSI Medical Journal 2009-2018. The research method used in this study is a quantitative method with bibliometric analysis. Data collection uses documentation method. The results of this study include (1) the pattern of author productivity with an exponent value (n) 2.874110535 and the constant (C) 0.820080499 meaning that the author contributing to one article is 82.00% of the total number of authors, it can be said that the YARSI Medical Journal Author Productivity Pattern 2009- 2018 is low or less productive. (2) Based on the K-S test the maximum deviation is 0 and the critical value is 0.0829206. Dmax is smaller than the critical value, so H0 is accepted. That is, the Author Productivity Pattern uses the Complete Count Technique in YARSI Medical Journal 2009-2018 following Lotka's Law.

scholarly journals Email Analysis in Fraud Investigation: Digital Forensic and Network Analysis Approach

2022 ◽  
Vol 6 (2) ◽  
pp. 265
Author(s):  
Wishnu Agung Baroto
Keyword(s):  
Network Analysis ◽  
Design Science ◽  
Science Research ◽  
Analysis Data ◽  
The Body ◽  
Easy Access ◽  
Digital Forensic ◽  
Efficient Communication ◽  
Design Science Research Methodology ◽  
Insight Into

Email is an imperative method of communication that is changing the way people share their data and information. It provides effective and efficient communication, especially in business, convenience, and easy access and replication. Those electronic data should be considered by a fraud investigator to comprehend the investigation. Email can be divided into two parts: the head of the email and the email body. The head of the email is metadata that consists of unstructured data, and the body and its attachment consist of semi-structured data. The email data usually comes in large volumes and ranges of types. Therefore, a manual investigation of an email should be avoided. This paper uses the Design Science Research Methodology to discover the most profound framework in an email fraud investigation. Using email metadata and email body, this research performs a digital forensic framework: preparation, gathering, processing, and presentation, combines with social network analysis to be applicable in the investigation. The result shows that digital forensics process, network analysis, data visualization provides a more valuable and comprehensive insight into email analysis.

PRODUKTIVITAS PENULIS ARTIKEL ILMIAH BIDANG ILMU INFORMASI DAN PERPUSTAKAAN PADA JURNAL TERAKREDITASI PERINGKAT SINTA 2, 3 DAN 4 TAHUN 2015-2019

2021 ◽  
Vol 23 (2) ◽  
pp. 117-128
Author(s):  
Sri Junandi ◽  
Dwiyantoro Dwiyantoro
Keyword(s):  
Bibliometric Analysis ◽  
Information Science ◽  
Science And Technology ◽  
Critical Value ◽  
Library And Information Science ◽  
Research Approach ◽  
Scientific Journals ◽  
Test Results ◽  
Productivity Pattern

There are 15 scientific journals in the field of Library and Information Science (LIS) accredited and indexed by Science and Technology Index (SINTA). The journals are divided by rating namely SINTA 2 (4 journals), SINTA 3 (4 journals) and SINTA 4 (7 journals). This study aims to determine the productivity pattern of authors in the field of LIS in 2015 - 2019 indexed in SINTA 2, 3 and 4 based on Lotka's rules. The research approach is quantitative with bibliometric analysis.  The results show that based on: (1) article published during 2015 – 2019, there were 1,806 authors with a frequency of article writing 1,061; (2) the calculation of the author's productivity pattern, shows the value of n = 0.93062 and the value of C = 0.74864; and (3) the K-S test results show that the Dmax value was greater than the critical value for SINTA 2 and 4, while for the SINTA 3 the Dmax value was smaller (0.0172) than the critical value (0.108).

scholarly journals APPLYING DLTA STRATEGY ON TEACHING LISTENING COMPREHENSION

2021 ◽  
Vol 14 (1) ◽  
pp. 59-68
Author(s):  
Darmawan Budiyanto ◽  
Aprillitzavivayarti Aprillitzavivayarti ◽  
M. Rasyid Ridho
Keyword(s):  
Listening Comprehension ◽  
Sampling Method ◽  
Alternative Hypothesis ◽  
Analysis Data ◽  
Critical Value ◽  
Post Test ◽  
The Mean ◽  
Academic Year ◽  
Cluster Random Sampling ◽  
Analyze Data

The objective of this study is to find out whether it is effective or not to teach listening comprehension by using DLTA strategy. Population of this study was the seventh grade students of SMPN 46 Palembang in academic year 2020/2021 with the sample were taken from class VII. 1 consists of 34 students by using cluster random sampling. Method of this study was the pre ­ experimental with pre-test and post-test. The data were obtained by using test in 20 multiple choices. SPSS 17 was used to analyze data and the paired t ­ test was applied. Based on analysis data, the writer found that the mean score in pre-test was 58.38 and in post-test were 72.06. The result of value of t-obtained was 22.476, this score was higher than 2.0345 as its critical value. It means that the null hypothesis (Ha) was rejected and alternative hypothesis (H0) was accepted

Collaboration and author productivity: A study with a new variable in Lotka's law

1999 ◽  
Vol 44 (1) ◽  
pp. 129-134 ◽  
Author(s):  
B. M. Gupta ◽  
C. R. Karisiddippa
Keyword(s):  
Author Productivity ◽  
Lotka’S Law

Bibliometric study of social network analysis literature

2019 ◽  
Vol 38 (2) ◽  
pp. 420-433 ◽  
Author(s):  
Yu-Sheng Su ◽  
Chien-Linag Lin ◽  
Shih-Yeh Chen ◽  
Chin-Feng Lai
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Bibliometric Analysis ◽  
Computer Mediated Communication ◽  
Content Type ◽  
Productivity Distribution ◽  
Author Productivity ◽  
Subject Areas ◽  
Lotka’S Law

Purpose The purpose of this paper is to use bibliometric analysis to identify the current state of the academic literature regarding social network analysis (SNA) and analyze its knowledge base such as research authors, research countries, document type, keyword analysis and subject areas. Design/methodology/approach Bibliometric analysis is used and furthermore, Lotka’s and Bradford’s law is applied to perform author productivity analyses in this field during 1999 and 2018, respectively, in turn, discovering historical vein and research tendency in the future. Findings It appears that the research on SNA has been very popular and still in the highly mature period. So far, the USA takes the lead among the published paper. The top 2 subject areas are “Computer Science” and “Business Economics.” The primary journal that SNA articles were published is Computers in Human Behavior. SNA has been related to many research areas, such as “Social network analysis,” “Computer-mediated communication,” “Online learning,” “Social Network” and “Community of inquiry.” Finally, Kolmogorov–Smirnov (K-S) test proved that the frequency indexes of author productivity distribution certainly followed Lotka’s law. Research limitations/implications First, the productivity distribution may inform researchers and scholars of current issues and development of SNA. Second, the study proposed a theoretical model, based on Lotka’s law, for author productivity analysis of SNA, which can serve as reference for different areas of study in the evaluation of author productivity models. Also, in order to allow researchers to gain in-depth insights, this study aimed to report the most published institutions and keep track of the growth and trend of author productivity, by which scholars in related fields are provided with more opportunities for academic communication and technological cooperation. Originality/value This research on the productivity distribution of SNA may inform researchers and scholars of current issues and development of SNA. The findings report the major publication outlets and related discussion issues about SNA. Such information would be valuable for related authors, who are writing the manuscript on SNA, and also for practitioners, who may be interested in applying the theory or ideas of SNA.

Humanitarian Logistics

2018 ◽  
Vol 11 (4) ◽  
pp. 53-71 ◽  
Author(s):  
Anil Kumar ◽  
G.S. Kushwaha
Keyword(s):  
Research Impact ◽  
Humanitarian Logistics ◽  
Distribution Data ◽  
Scientometric Analysis ◽  
Authorship Pattern ◽  
Publication Patterns ◽  
Major Subject ◽  
Author Productivity ◽  
Subject Areas ◽  
Lotka’S Law

The concept of humanitarian logistics is evolving rapidly and gaining popularity in the research community. This research reviews the literature on humanitarian logistics for providing a thorough outlook into the field. In this study, Authors conducted a scientometric analysis of the literature published in 1998–2015 to empirically explore the important areas and key contributors of humanitarian logistics research and providing new outlook towards publication patterns, authorship pattern, major subject areas, research impact, and research productivity. By using scientometric analysis, the research critically evaluates 509 articles published over the past 18 years and identifies some of the major contributing authors, organizations and key research topics related to the field. In the last, the paper examines the validity of Lotka's law to authorship pattern in humanitarian logistics. The result found that the author productivity distribution data in humanitarian logistics do not follow Lotka's law. The findings of the study provide a new outlook on humanitarian logistics research.

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