https://tecnoscientifica.com/journal/idwm Tecno Scientifica Publishing en-US Industrial and Domestic Waste Management 2809-4255 <p>Authors shall retain the copyright of their work and grant the Journal/Publisher rights for the first publication with the work concurrently licensed under the <a href="https://creativecommons.org/licenses/by/4.0/"><strong>Creative Commons Attribution 4.0 International License (CC BY 4.0)</strong></a>.</p> <p>Under this license, authors who submit their papers for publication by <em>Industrial and Domestic Waste Management</em><em> </em>agree to have the CC BY 4.0 license applied to their work, and that anyone is allowed to reuse the article or part of it free of charge for any purpose, including commercial use. As long as the author and original source is properly cited, anyone may copy, redistribute, reuse and transform the content.</p> <p>This broad license intends to facilitate free access, as well as the unrestricted use of original works of all types. This ensures that the published work is freely and openly available in perpetuity.</p> https://tecnoscientifica.com/journal/idwm/article/view/757 <p>The disposal of lithium-based drone batteries presents a significant environmental challenge due to the presence of heavy metals and hazardous substances. Effective management strategies are essential to reduce pollution and mitigate operational risks associated with improper handling. This study proposes an optimal waste management strategy for Skywalker drone batteries using a Linear Programming (LP) approach. The model incorporates three waste management options: recycling, temporary storage, and final disposal. It also accounts for facility capacity limitations, environmental regulations, and cost constraints. The simulation results demonstrate that the LP model provides an optimal waste allocation scheme. Compared to conventional waste management methods, the LP-based strategy reduces environmental impact and achieves higher cost efficiency. The findings highlight the effectiveness of LP modeling as a decision-support tool for waste management planning. The study recommends the adoption of an LP-based integrated management framework to support future environmental and operational decisions in drone technology.</p> Cynthia Rahmawati Endah Yuniarti Munnik Haryanti Bekti Yulianti Syarifah Fairuza Muhammad Yazid Ashari Copyright (c) 2025 Cynthia Rahmawati, Endah Yuniarti, Munnik Haryanti, Bekti Yulianti, Syarifah Fairuza, Muhammad Yazid Ashari https://creativecommons.org/licenses/by/4.0 2025-07-24 2025-07-24 5 2 68 83 10.53623/idwm.v5i2.757