| dc.description.abstract | This research are a study in Bibliometrics that examines Lotka's Law, where aims to analyze the pattern of the author productivity in a Collection and Curation a Journal beetween the years 2018-2021 using the complete count Method. A descriptive with quantitative method of documentation used for this study, where data analysis are collected by accessing the internet and summarizing the required data. This study examines all articles from a journals of Collection and Curation published during 2018-2021, there are 131 articles with 71 authors, this is mentioned in the unit of analysis. The calculation results shows that the value of n parameter is 4.9889 with the C is 0.9695. Kolmogorov-Smirnov's test result shows that Dmax = 0.0306 at the critical value level with α = 0.05, are 0.1188, where with level α = 0.01, the critical value is 0.1065. This means that Dmax are smaller than each critique value, that meaning are there is no significant difference gap between the distribution of authors for the Journals of Collection and Curration beetween 2018-2021 with Law theory of Lotka's. There are 4 person from the 131 authors who are the most productive author in the Collection and Curation Journals in 2018 – 2021 using the complete count method, which are; Anna Leonard, Lilly Hoi Sze Ho, Matthew Kelly, and Nkholedzeni Sidney. Based on the number of contribution to articles, each author had contributed to 2 articles. The results of this research prove that the accuracy of Lotka's theory, and disclose that the productivity pattern for the Journals of Collection and Curation in 2018-2021 are in accordance with the theoretical predictions of Lotka's Law. | en_US |
