Beginning with this volume, Skewness: Journal of Statistics, Actuarial Science, and Data Science officially transitions to publishing in English to increase global visibility, enhance academic collaboration, and engage a broader readership across disciplines. This strategic move aligns with our vision to position the journal within the international research landscape while continuing to highlight regionally grounded case studies with methodological rigor.

Volume 2 presents a compelling collection of six scholarly articles that demonstrate how statistical and data science methods are applied to address complex, real-world challenges across diverse domains. Topics include binomial distribution modeling for multiple-choice assessments, forecasting BPJS participation rates using the Fuzzy Time Series Cheng method, and clustering Jakarta Islamic Index stocks for optimal portfolio construction via Fuzzy C-Means and the CAPM model.

The volume also features a binary logistic regression analysis on university students’ participation in the 2024 Indonesian general elections, clustering of meteorological stations in Central Java based on weather patterns using K-Means, and a behavioral study on consumption trends among K-Pop fans.

This issue reflects our commitment to advancing statistical thinking through interdisciplinary approaches that bridge theory with practical, impactful insights.

Published: 2025-04-01

Articles