Produktivitas Pengarang Menggunakan Hukum Lotka dengan Dua Pendekatan Straight Count dan Complete Count pada Indonesian Journal of Science & Technology Tahun 2020-2024

Abstract

This study aims to determine the level of author productivity in the Indonesian Journal of Science & Technology (IJoST) during the period 2020–2024 using two approaches: Straight Count and Complete Count. The research method employed is descriptive quantitative with a documentation technique. The unit of analysis consists of 169 articles and 823 author names obtained from the official IJoST website. The analysis was conducted by calculating the distribution of author productivity, estimating the Lotka’s Law parameter values, and testing its conformity using the Kolmogorov–Smirnov (K–S) test. The results show that the number of author contributions fluctuated throughout the study period. Most authors (89.6%) contributed only one article, while only a small number authored more than five. The Lotka’s Law parameters obtained were n = 19.422 and C = 0.408. The Kolmogorov–Smirnov test produced a Dmax value of 0.548, which is greater than the critical values at the 0.05 (0.0518) and 0.01 (0.0465) significance levels, indicating that the distribution of author productivity does not conform to Lotka’s Law. Based on the Complete Count technique, the most productive author was Abdulkareem Sh. Mahdi Al-Obaidi with 14 articles, while under the Straight Count approach, the most productive author was Asep Bayu Dani Nandiyanto with 5 articles. The study concludes that author productivity in IJoST does not conform to Lotka’s Law, as discrepancies exist between the observed and theoretical frequency distributions.