https://journals.researchparks.org/index.php/IJHCS <p>The <strong>International Journal of Human Computing Studies (IJHCS) (2615-8159/ 2615-1898)</strong> is an international, peer-reviewed, and scholarly journal that publishes original, well-developed articles that examine the rapidly evolving relationship on human computing and information technology. This Indonesian International Journal focuses on innovative research investigation, such as, inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of <strong>innovative platforms and IT technologies</strong>&nbsp;in concrete&nbsp;<strong>user-based communities</strong>.</p> Research Parks Publishing LLC en-US International Journal of Human Computing Studies 2615-1898 https://journals.researchparks.org/index.php/IJHCS/article/view/5355 <p>This study explores the interval variant of the potential method as an innovative approach for solving transportation problems within mathematical programming. Traditional methods often fail to address the complexities arising from parameter uncertainties, creating a knowledge gap in deriving reliable solutions under varying conditions. To bridge this gap, the interval potential method is proposed, utilizing interval matrices to define constraints and feasible solutions. The methodology involves constructing the initial transportation plan using the northwest corner method and applying interval analysis to account for data variability. A structured algorithm calculates directional potentials and checks the plan's acceptability, iteratively adjusting for optimal results. Numerical simulations demonstrate the robustness of the proposed method in solving transportation problems with uncertain parameters. Results confirm that this approach identifies optimal interval solutions while maintaining computational efficiency. The implications extend to various fields requiring reliable transportation and logistics optimization under uncertain conditions, such as supply chain management and resource allocation. This work contributes to the broader application of interval analysis in mathematical programming, providing a scalable solution for real-world challenges.</p> Dilafruz Khamroeva Copyright (c) 2025 International Journal of Human Computing Studies 2025-01-23 2025-01-23 7 1 1 6 10.31149/ijhcs.v7i1.5355