ACSIE (International Journal of Application Computer Science and Informatic Engineering), Volume 7 Number 1 (May 2025) presents a diverse collection of applied computer science and data-driven research contributed by scholars from the Institut Bisnis dan Teknologi Indonesia (INSTIKI), Universitas Kristen Duta Wacana (UKDW) Yogyakarta, and Okayama University (Japan). This issue highlights contemporary applications of machine learning, forecasting models, decision support systems, and data mining techniques in business, agriculture, finance, and consumer analytics.

The published articles include a machine learning-based hotel booking cancellation prediction model using XGBoost, an AdaBoost regression approach for agricultural yield modeling using climatic and pesticide variables, and a TOPSIS-based decision support system for strategic business location selection. Additional studies explore Apriori-based market basket analysis for understanding grocery consumer purchasing behavior, as well as ARIMA-based forecasting of the LQ45 stock index, demonstrating the application of computational intelligence in economic and financial decision-making.

This issue reflects ACSIE’s commitment to disseminating interdisciplinary, practical, and solution-oriented research that bridges computational methods with real-world applications. By bringing together contributions from Indonesian and international institutions, this volume strengthens the journal’s role in advancing applied computer science and informatics engineering research across academic and professional domains.