http://journal.uvers.ac.id/index.php/greeners/issue/feed Journal of Green Engineering for Sustainability2025-09-30T00:00:00+00:00Ir. Adi Nugroho, S.T., M.Eng[email protected]Open Journal Systems<p><strong>The Journal of Green Engineering for Sustainability</strong> or <strong>Greeners</strong> is published twice a year<strong> (April and September)</strong>. <strong>Greeners</strong> is a scientific media publication that contains engineering research results, especially green engineering. The results of these studies can be in the form of products, designs, ideas, and certain methods that can be described scientifically so that they are able to protect the environmental ecosystem for the better, minimizing risks to human health without sacrificing sustainability and economic efficiency. Although not limited to scientific fields, the scope of discussion or topic of articles received by <strong>Greeners</strong> media editors can include:</p> <ul> <li>Environmental Friendly Production System</li> <li>Manufacturing Processes and Manufacturing Systems</li> <li>Logistics and Distribution Management</li> <li>Packaging Engineering (packaging)</li> <li>Product Design and Development</li> <li>Ergonomics and Work Studies</li> <li>Integrated Waste Treatment System</li> <li>Environmental modeling</li> <li>Solid waste management</li> <li>Water quality</li> <li>Environmental management</li> <li>Renewable energy</li> </ul> <p>We encourage readers to sign up for the publishing notification service for this journal. Use the <a href="http://journal.uvers.ac.id/index.php/gjges/user/register">Register</a> link at the top of the home page for the journal. This registration will result in the reader receiving the Table of Contents by email for each new journal issue. This list also allows the journal to claim certain support or readership. See the journal's <a href="http://journal.uvers.ac.id/index.php/gjges/about/submissions#privacyStatement">Privacy Statement</a>, which assures readers that their name and email address will not be used for other purposes.</p>http://journal.uvers.ac.id/index.php/greeners/article/view/301An Analysis of the Implementation of Reverse Logistics to Improve Cost Efficiency in Medical Waste Management at Health Clinics2025-07-31T13:40:27+00:00Nia Arfina Foci[email protected]Rahmi M Nur[email protected]Syafira Salsabila[email protected]Muhamad Yasin[email protected]M Arif Munanda[email protected]<p><em>Medical waste management is a major challenge in the health system, especially in ensuring cost efficiency while minimizing environmental impacts. This study aims to analyze the relationship between the application of reverse logistics and the cost efficiency of medical waste management in health clinics. The methodology used is a quantitative approach with a sample of 36 respondents involved in medical waste management. Data was collected using a questionnaire and analyzed using the Chi-Square test to evaluate the relationship between variables. The research results show a significant relationship between the implementation of reverse logistics and cost efficiency, where better implementation can substantially reduce operational expenditure. The conclusions of this research indicate that medical waste management through reverse logistics effectively increases cost efficiency, and supports environmental sustainability. The practical implications of these findings can be a reference for health clinic managers in designing more efficient waste management strategies.</em></p>2025-09-30T00:00:00+00:00Copyright (c) 2025 Nia Arfina Foci, Rahmi M Nur, Syafira Salsabila, Muhamad Yasin, M Arif Munandahttp://journal.uvers.ac.id/index.php/greeners/article/view/307Optimization of Palm Kernel Unloading Queue Waiting Time at the Kernel Crushing Plant Using the Promodel Approach2025-09-10T08:17:14+00:00Helena Sihotang[email protected]Savanna Dahlia[email protected]Sendi A Narendra[email protected]Andry Setiawan[email protected]<p>Optimization is an effort to improve process outcomes in an ideal and effective manner. One approach to solving queuing system problems is through simulation. The Kernel Crushing Plant faces queuing issues due to uneven workload distribution among the sampling tower, laboratory, and weighbridge. This condition requires improvements to the queuing system model to achieve a more efficient process flow. Using Promodel software, the queuing system at the Kernel Crushing Plant can be virtually visualized by developing a new model. The proposed model includes separating palm kernel analysis from production analysis, implementing a robotic system for palm kernel sampling, and adding Foss NIRS equipment. The implementation of this model has been proven to reduce laboratory workload (percentage of operation) by nearly 23%, resulting in a more balanced productivity across all locations.</p>2025-09-30T00:00:00+00:00Copyright (c) 2025 Helena Sihotang, Savanna Dahlia, Sendi A Narendra, Andry Setiawanhttp://journal.uvers.ac.id/index.php/greeners/article/view/300Optimization of Fuel Distribution in Bengkulu Using Analytical Network Process and the CF-RS Method2025-09-04T08:45:29+00:00Muhamad Yasin[email protected]Rama Dani Eka Putra[email protected]Tessa Zulenia Fitri[email protected]Nia Arfina Foci[email protected]M. Arif Munanda[email protected]<p><em>Fuel scarcity in Bengkulu Province has occurred in the last few days. In fact, prices at the retail level have soared to Rp30,000 per liter. This study aims to provide solutions to the fuel distribution problems in Bengkulu that have been explained previously and provide optimal solutions using the Analytical Network Process Method and the Cluster First Route Second (CFRS) Method. so that the determination of the closest route is Tank Truck 11 with the route Lubuklinggau Fuel Terminal - Gas Station 6 Bengkulu City - Lubuklinggau Fuel Terminal with a distance of 234 KM and the farthest route is Lubuklinggau Fuel Terminal - Gas Station 11 - Gas Station 3 - Lubuklinggau Fuel Terminal.</em></p>2025-09-30T00:00:00+00:00Copyright (c) 2025 Muhamad Yasin, Rama Dani Eka Putra, Tessa Zulenia Fitri, Nia Arfina Foci, M. Arif Munanda