The reviewed articles highlight significant challenges that impact the quality, availability, and relevance of essential data for analysis. For instance, using the Multiple Linear Regression algorithm to predict gold prices is hindered by issues in variable selection and incomplete historical data. Sentiment analysis of the Grab application, employing Naïve Bayes and SVM, is limited by an imbalance in review numbers and complexities in text processing. Similarly, the societal impact of data limitations and ambiguous comments on public sentiment regarding Instagram's Free Nutritious Meal program is significant. The optimization of street lighting with Dialux Evo relies heavily on accurate geometric data and lighting parameters. Classifying stunting status in children with SVM faces challenges due to limited health data availability and quality. Additionally, the development of an inventory information system at CV Delta Power Listrindo is obstructed by reliability issues with stock data and integration from various sources. These challenges significantly hinder the accuracy and effectiveness of the analyses, emphasizing the urgent need for improvements to enhance the validity of the findings.

This issue has been available online since 30th April 2025 for the regular issue of Vol 11 No 1 (2025). All articles in this issue are authored/co-authored by