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Journal of Green Engineering for Sustainability
Published by Universitas Universal
ISSN : 30256895     EISSN : 30256895     DOI : 10.63643
Core Subject : Science, Social, Engineering,
Control & Systems Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering
The Journal of Green Engineering for Sustainability or Greeners is published twice a year (April and September). Greeners 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. The scope of discussion or topic of articles received by Greeners media editors can include: Environmental Friendly Production System Manufacturing Processes and Manufacturing Systems Logistics and Distribution Management Packaging Engineering (packaging) Product Design and Development Ergonomics and Work Studies Integrated Waste Treatment System Environmental modeling Solid waste management Water quality Environmental management Environmental education Environmental Friendly Technology Renewable energy
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 30 Documents
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Optimalisasi Distribusi BBM di Bengkulu Menggunakan Analytical Network Process and Metode CF-RS Yasin, Muhamad; Putra, Rama Dani Eka; Fitri, Tessa Zulenia; Foci, Nia Arfina; Munanda, M. Arif
Greeners: Journal of Green Engineering for Sustainability Vol 3 No 01 (2025): Journal of Green Engineering for Sustainability
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jges.v3i1.300

Abstract

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.
Analisis Implementasi Reverse Logistics untuk Meningkatkan Efisiensi Biaya dalam Pengelolaan Limbah Medis di Klinik Kesehatan Foci, Nia Arfina; Nur, Rahmi M; Salsabila, Syafira; Yasin, Muhamad; Munanda, M Arif
Greeners: Journal of Green Engineering for Sustainability Vol 3 No 01 (2025): Journal of Green Engineering for Sustainability
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jges.v3i1.301

Abstract

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.
Optimalisasi Waktu Tunggu Antrian Bongkar Palm Kernel di Kernel Crushing Plant dengan Pendekatan Promodel Sihotang, Helena; Dahlia, Savanna; Narendra, Sendi A; Setiawan, Andry
Greeners: Journal of Green Engineering for Sustainability Vol 3 No 01 (2025): Journal of Green Engineering for Sustainability
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jges.v3i1.307

Abstract

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.
Analysis Quality for Kernel Production with Seven Tools Method Nensi, Sri Wahyu
Greeners: Journal of Green Engineering for Sustainability Vol 3 No 01 (2025): Journal of Green Engineering for Sustainability
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jges.v3i1.309

Abstract

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.
Analisis Pengendalian Persediaan Bahan Baku Berdasarkan Metode Economic Order Quantity Pada Toko Classic Donat Kendari Wal'afny, Nurma; Mas’ud, Arifuddin; Rahmah, Wahyuni
Greeners: Journal of Green Engineering for Sustainability Vol 3 No 01 (2025): Journal of Green Engineering for Sustainability
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jges.v3i1.311

Abstract

The company's main objective is to achieve profitability through an optimal production process, which is highly dependent on the availability and efficient management of raw materials. Although vital, raw material supplies must be managed optimally—not excessively—for cost efficiency, which requires careful calculation of the ideal purchase quantity and timing. Toko Classic Donat Kendari still implements an inefficient purchasing policy, which is based on estimates (purchasing small quantities when supplies are running low) to prevent spoilage. This study aims to evaluate the control of raw material inventory at Toko Classic Donat Kendari using the Economic Order Quantity (EOQ) method. This study uses a combined qualitative and quantitative approach, with data collection through interviews and documentation. The results of the study indicate that Toko Classic Donat Kendari can control raw material inventory more effectively through the application of the EOQ method. The implementation of EOQ has been proven to optimize ordering costs and storage costs, which overall contribute to a reduction in total inventory costs.
Effect of the Friction Coefficient on the Efficiency of Goods Handling in Warehouses Delia Meldra; Zefri Azharman
Greeners: Journal of Green Engineering for Sustainability Vol 3 No 2 (2026): Journal of Green Engineering for Sustainability
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jges.v3i2.332

Abstract

This study is motivated by the importance of efficiency in material handling within warehouse logistics systems, which is influenced by physical factors, particularly the coefficient of friction of floor surfaces. The objective of this research is to analyze the effect of the coefficient of friction on pushing force and the operational efficiency of material handling in warehouses. The method employed is a direct experimental approach by moving a 10 kg load using a trolley over a distance of 5 meters on three types of surfaces: ceramic, wood, and carpet. Each treatment was repeated 20 times. The observed variables include pushing force, travel time, work, efficiency, and coefficient of friction, which were subsequently analyzed using descriptive and inferential statistics. The results indicate that an increase in the coefficient of friction significantly increases the required pushing force and travel time, while reducing system efficiency. The ANOVA test produced a significance value of 0.000 (<0.05), indicating a significant difference among the surface types. Furthermore, Pearson correlation analysis revealed a very strong relationship between the coefficient of friction and pushing force (r = 0.990). Ceramic surfaces yielded the highest efficiency compared to wood and carpet. The study concludes that selecting floor materials with a low coefficient of friction can significantly improve the operational efficiency of material handling in warehouses, making it an important consideration in logistics system design.
Analysis of Value-Added Activities and Non-Value-Added Activities in the Production Process of Car Body Stands Using the Manufacturing Cycle Effectiveness (MCE) Method Lita Silvianti Rosyadi
Greeners: Journal of Green Engineering for Sustainability Vol 3 No 2 (2026): Journal of Green Engineering for Sustainability
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jges.v3i2.334

Abstract

PT. XXX is a manufacturing fabrication company whose production process still involves non-value-added activities, resulting in a mismatch between planned and actual timelines, including a three-day delay in the production of the Car Body Stand. This study aims to identify value-added and non-value-added activities, calculate cycle time, and analyze Manufacturing Cycle Effectiveness (MCE) by comparing predicted and actual timelines, as well as to propose improvements to enhance production performance. The findings show that total value-added activities reach 480.5 hours, while non-value-added activities account for 41 hours. The predicted cycle time is 467 hours, whereas the actual cycle time extends to 551.5 hours. The MCE is 88.9% under predicted conditions and 85.8% in actual conditions. After implementing the proposed improvements, non-value-added activities decrease to 27 hours, and the cycle time improves to 523.5 hours, leading to an increased MCE of 90.4%. Overall, these results suggest that reducing non-value-added activities can effectively improve production efficiency and reduce delays.
Quality Control Analysis of Product Defects Using Seven Tools Method & PDCA: Quality Control Kenny Kenny; Handi Wilujeng Nugroho
Greeners: Journal of Green Engineering for Sustainability Vol 3 No 2 (2026): Journal of Green Engineering for Sustainability
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jges.v3i2.337

Abstract

This study aims to analyze and control the quality of Tank Cold Water OPP model products using the Seven Tools method and the PDCA cycle. Production defect data from June 2023 to April 2024 (15 observation periods) were analyzed using checksheets, histograms, P-control charts, scatter diagrams, Pareto diagrams, and fishbone diagrams. Results show that out of 2,143,806 total production units, 79,995 defective units were recorded, yielding an average defect rate of 3.73%. Based on the Pareto diagram, Foreign Material is the most dominant defect type at 55.51%, followed by Blackdot (30.34%) and Oily (14.15%). Fishbone diagram analysis identified four main root-cause categories: machine, environment, method, and personnel. Corrective action proposals were formulated using the 5W+1H framework, covering periodic machine maintenance, production area housekeeping, SOP updates, and structured operator training. This research is expected to serve as a reference to pursuit of zero defect production.
Students' Level of Agreement on the Effectiveness of Work from Home (WFH) as a Modern Working System: A Hypothesis Test Using the Binomial Distribution Raymand Tan; Gimton Sinaga; Elvyra Danotti
Greeners: Journal of Green Engineering for Sustainability Vol 3 No 2 (2026): Journal of Green Engineering for Sustainability
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jges.v3i2.361

Abstract

Work From Home (WFH) has become an increasingly popular modern working system due to its flexibility and ability to reduce commuting time. This study aims to examine students’ level of agreement regarding the effectiveness of WFH as a modern working system using the Binomial Test. A quantitative approach was employed, and data were collected through a questionnaire distributed using a voluntary response sampling technique. The study involved 50 student respondents whose responses were categorized into two groups: agree and disagree with the effectiveness of WFH. The data were analyzed using the Binomial Test with a hypothesized proportion of 60% and a significance level of 5%. The results showed that 31 respondents (62%) agreed that WFH is an effective working system, while 19 respondents (38%) disagreed. The Binomial Test yielded a p-value of 0.4465, which is greater than the significance level of 0.05. Therefore, the null hypothesis failed to be rejected, indicating that there is insufficient statistical evidence to conclude that the proportion of students who agree with the effectiveness of WFH exceeds 60%. Despite this result, the descriptive findings suggest that most students perceive WFH positively, particularly because it offers greater flexibility in time management and eliminates commuting time. However, several challenges were also identified, including difficulties in team coordination, distractions at home, limited work facilities, and reduced self-discipline. WFH is generally accepted by students as a modern working system, although its level of acceptance does not significantly exceed the proposed benchmark.
The Influence of Work-Life Balance, Work Innovation, Digital Work Environment, and Employee Engagement on the Performance of Generation Z Employees at PC Partner Company in Muka Kuning, Batam Azra Khairia; Acca Maysa Sitio; Wanda Safitri; Amanda Amanda; Aisyah Livi November; Intan Ayu Wandira
Greeners: Journal of Green Engineering for Sustainability Vol 3 No 2 (2026): Journal of Green Engineering for Sustainability
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jges.v3i2.365

Abstract

The rapid growth of Indonesia's electronics manufacturing industry, particularly in the Muka Kuning industrial area of Batam, has increased the demand for adaptive and high-performing employees, especially among the Generation Z workforce that now dominates the labor market; this condition raises the need to examine the factors that influence employee performance. This study aims to analyze the effect of Work-Life Balance, Work Innovation, Digital Work Environment, and Employee Engagement on the Performance of Generation Z Employees at PC Partner Company in Muka Kuning, Batam. The research employed a descriptive quantitative approach with multiple linear regression analysis. The population consisted of all 30 Generation Z employees at PC Partner, selected through a saturated sampling method. Primary data were collected using a Likert-scale questionnaire and processed with SPSS. The partial test (t-test) results showed that Work-Life Balance (t = 4.487), Work Innovation (t = 5.384), Digital Work Environment (t = 5.797), and Employee Engagement (t = 8.458) each had a positive and significant effect on Employee Performance. The simultaneous test (F-test) produced an F-value of 16.363 > F-table 2.76, indicating that all independent variables jointly had a significant effect on Employee Performance. The coefficient of determination (Adjusted R²) of 0.679 indicated that 67.9% of the variance in Employee Performance could be explained by these four variables.

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