Journal of Green Engineering for Sustainability

Optimization of Fuel Distribution in Bengkulu Using Analytical Network Process and the CF-RS Method

Muhamad Yasin — 2025-09-30

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.

Analysis Quality for Kernel Production with Seven Tools Method

Sri Wahyu Nensi — 2025-10-16

In today’s era of rapid industrial advancement, the palm oil industry in Indonesia has experienced significant growth, intensified competition and prompting companies to enhance production quality to remain competitive. Predominantly acting as raw material suppliers, many palm oil companies, including those in Southeast Sulawesi, are required to meet stringent quality standards set by their domestic and international partners. One such company processes oil palm into crude palm oil (CPO), palm kernel, fibre, and kernel shell, with CPO and kernel being distributed to partner companies under strict quality agreements. A breach of these agreements, particularly in kernel quality, has led to penalties and potential termination of partnerships. Palm kernel oil (PKO), a high-value derivative, must meet quality criteria such as free fatty acid content, moisture, dirt content, and kernel integrity. Observations revealed recurring deviations from these standards, notably in excessive dirt content. This study aims to identify root causes of quality issues using the Seven Quality Control Tools method, supported by primary data including production outputs and interviews with workers. The analysis identified key contributing factors: inadequate adherence to machine efficiency guidelines by operators, sorting errors in raw materials, and mismatched or poorly maintained machinery. Corrective actions were proposed using 5W+1H analysis, emphasizing the need for operator compliance with efficiency protocols, improved raw material handling, and appropriate machine usage and maintenance to ensure consistent kernel quality aligned with agreed standards.

An Analysis of the Implementation of Reverse Logistics to Improve Cost Efficiency in Medical Waste Management at Health Clinics

Nia Arfina Foci — 2025-09-30

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.

Optimization of Palm Kernel Unloading Queue Waiting Time at the Kernel Crushing Plant Using the Promodel Approach

Helena Sihotang — 2025-09-30

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.