An Analysis of Features that Affected Lecturer Scientific Publication Productivity as a Research Output in Indonesia

Abstract

This study's objective is to look at the factors that influence academics publication productivity in Indonesia. Each feature is pre-processed using two mechanisms: correlation coefficient (CC) and feature importance calculation (FI). Based on pre-processing, CC and FI scores were obtained for each feature. The three features with the highest CC and FI scores are Number of Published Articles (CC: 0.86, FI: 0.56), Academics H-Score (CC: 0.68, FI: 0.16), and Journal Cluster (CC: 0.65, FI: 0.14). This analysis establishes features that have a significant impact on publication productivity as well as features that have no impact on publication productivity.