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Advance Sustainable Science, Environmental Engineering and Technology (ASSET) Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
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Advance Sustainable Science, Engineering and Technology (ASSET)
Published by Universitas PGRI Semarang
ISSN : -     EISSN : 27154211     DOI : https://doi.org/10.26877/asset
Core Subject : Science, Engineering,
Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Advance Sustainable Science, Engineering and Technology (ASSET) is a peer-reviewed open-access international scientific journal dedicated to the latest advancements in sciences, applied sciences and engineering, as well as relating sustainable technology. This journal aims to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of sciences, engineering, and technology. The Scope of ASSET Journal is: Biology and Application Chemistry and Application Mechanical Engineering Physics and Application Information Technology Electrical Engineering Mathematics Pharmacy Statistics
Arjuna Subject : Teknik Kimia (semua kategori) - Teknik Kimia (Lain-Lain)
Articles 50 Documents
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Search results for , issue "Vol. 7 No. 1 (2025): November-January" : 50 Documents clear
Stability Analysis of Optimized PMU Placement using Hybrid and Individual TLBO-PSO Techniques Santosh Kumari Meena; Akhil Ranjan Garg
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1261

Abstract

In power system to optimized PMUs is a critical task to ensure maximum network observability while minimizing installation costs. This study presents a comparative analysis of three optimization techniques: Teaching-Learning-Based Optimization (TLBO), Particle Swarm Optimization (PSO), and a hybrid TLBO-PSO approach, focusing on their efficiency in determining the best PMU placements. Individual methods, such as TLBO and PSO, are often limited by longer computation times and the requirement for a higher number of PMUs to achieve full observability. In contrast, the hybrid TLBO-PSO method demonstrates significant improvements, consistently delivering solutions with fewer PMUs, faster computation times, and higher placement accuracy. By evaluating performance of these techniques on IEEE 14bus, 30bus and 57 bus systems through simulations conducted over 100 iterations for each method in every test case. The results highlight the hybrid approach's superior efficiency compared to individual methods. Furthermore, comparisons with prior research confirm that the hybrid TLBO-PSO approach is a robust and reliable solution for minimizing PMU installations while ensuring complete system observability.
Real-World Emission Assessment of Diesel Passenger Cars in Urban Traffic: A Comparative Analysis of Compliance with Bharat Stage VI Standards Sanu Meena; Suresh Kumar Singh
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1294

Abstract

Urban air pollution, significantly influenced by vehicle emissions, poses severe health risks, particularly in rapidly urbanizing cities. This study investigates real-world emissions from diesel-powered passenger cars under mixed traffic conditions, focusing on compliance with Bharat Stage VI (BS VI) standards. Using Portable Emission Measurement Systems (PEMS), emission factors for Carbon Monoxide (CO), Oxides of Nitrogen (NOx), and the combined mass of Hydrocarbons and Oxides of Nitrogen (THC + NOx) were measured. Results revealed exceedances of 75%, 103.75%, and 40.59% for CO, NOx, and THC + NOx, respectively, underscoring inefficiencies in emission control technologies. Variability in emissions was linked to vehicle age, maintenance, driving behaviors, and challenging road conditions. These findings highlight the critical gap between laboratory-tested and real-world emissions, emphasizing the need for stricter regulations, advanced emission technologies, and public awareness campaigns. The study offers actionable insights for urban air quality improvement and policy development to reduce vehicular pollution.
Assessing Seasonal Variations in Reservoir Water Quality: Implications for Eutrophication and Pollution Management Nurdin; Agatha Sih Piranti; Sri Lestari; Iing Nasihin; Nina Herlina
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1315

Abstract

Surface water is a strategic freshwater reserve that meets the needs of households, agriculture, livestock, industry, and research. Surface water quality is affected by anthropogenic activities and seasonal variations, which can pose ecological risks. This study aimed to assess the water quality of the Darma Reservoir, the status of water quality and trophic levels, and trends in water quality changes in the rainy and dry seasons. The study was conducted for one year, from October 2023 to September 2024, covering the rainy and dry seasons. Sampling was carried out at eight stations spread across three zones of the Darma Reservoir, namely the inlet zone, utilization zone, and outlet zone. Water quality parameters were tested using PCA, the water sample measurements were compared with water quality standards (PP/22/2021), and the Regulation of the Minister of State for the Environment number 28 of 2009 was analyzed using the STORET index. The results of the study showed differences in water quality characteristics between seasons, where the concentration of Total Nitrogen (TN) showed an increase in the rainy season, while the concentration of Total Phosphate (TP) was higher in the dry season.
Optimizing Inventory Control Using Min-Max Method for Sustainable Manufacturing Process Prayoga Prima Hermawan; Qurtubi; Haswika; Muchamad Sugarindra
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1337

Abstract

Inventory plays an important role in a company's production process, especially in the sustainable manufacturing industry. The inventory of raw materials such as rayon, polyester, and cotton is an essential element that needs to be controlled to maintain a smooth production process. This research aims to plan and control raw materials through the min-max method, with a focus on evaluating inventory control to identify and overcome existing problems in the raw material warehouse at a yarn and textile manufacturing company. The results show that each type of raw material has a different reorder level, which guides the company in avoiding the risk of shortage or excess stock. By applying the right reorder level, the company can improve its production efficiency and inventory management. This research contributes to the practice of inventory control in the sustainable manufacturing industry, which supports operational stability and minimizes resource wastage. The implications of the findings could expand the application of min-max method-based inventory control in other industries to support operational sustainability.
Improving Road and Sidewalk Accessibility for Persons with Disabilities: Infrastructure Challenges and Legal Compliance in Indonesia Muhammad Jabir Muhammadiah; Ahmad Selao
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1465

Abstract

Research to address significant challenges related to public infrastructure accessibility, especially for disabilities, regarding regulations that govern accessibility, the implementation in the field is still far from adequate. The research aims to evaluate the condition of public infrastructure, identify accessibility barriers for disabilities, and provide recommendations for future improvements. A mixed-methods approach, with participatory research methodology, provides significant contributions to disability and urban planning. Probability sampling method, with 150 respondents, physical, intellectual, and sensory disabilities, as well as experiences and challenges of accessibility. Data analysis, qualitative and quantitative methods, thematic analysis to analyze qualitative data about PWD experiences, descriptive and inferential statistical analysis for quantitative data. The findings indicate that road and sidewalk infrastructure is inadequate, with uneven surfaces, a lack of supporting facilities such as ramps, and unclear signage. Persons with disabilities are isolated from participating in public spaces, highlighting the gap between regulations and their implementation on the ground. The findings emphasize the integration of universal design in future infrastructure planning. Involving disabilities in planning results in more inclusive and effective solutions. Improving training and awareness for urban planners, along with regular monitoring of public infrastructure, ensures compliance with accessibility standards, moving towards a Smart Disability City (SDC)
The Influence of Job Demand and Job Resources on Job Satisfaction Mediated by Work-Life Balance Among Employees at PT. Daya Tani Sembada (Rice Milling) Awang Santoso, Doni Ismail; Moch. Tutuk Safirin
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.649

Abstract

One form of employee behavior is the desire to leave (turnover), where employees decide to leave their jobs. The employee turnover rate over the past three years at PT. Daya Tani Sembada has been above the normal limit each year, indicating that the company's turnover is high. This may suggest potential issues in human resource management or a mismatch between employees and the organization. Due to the high turnover rate, the company needs to conduct recruitment to replace these employees in order to maintain performance levels. Therefore, the researcher aims to understand the influence using the Partial Least Squares (PLS) method. Based on this research, it can be determined that job demands influence job satisfaction mediated by the work-life balance variable, and there is no influence of job resources on job satisfaction mediated by the work-life balance variable.
Impact of Employee Placement, Motivation, and Career Development on Performance and Productivity at Bank XYZ Using PLS-SEM Nadya Amelia Khumaira; Moch. Tutuk Safirin
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.662

Abstract

The role of employees is crucial in achieving the company's goals, as employees perform various activities from input to output in customer service. The purpose of this research is to determine the influence of employee placement, motivation, and career development variables on employee performance and employee productivity at Bank XYZ. This research employs the PLS-SEM method implemented using the statistical software SmartPLS. The results of this study show that the employee placement variable has p-values of 0.033 and t-values of 2.137 on the employee performance variable. The employee placement variable has p-values of 0.819 and t-values of 0.229 on employee productivity. The motivation variable has p-values of 0.000 and t-values of 4.141 on employee performance. The motivation variable has p-values of 0.027 and t-values of 2.217 on employee productivity. The career development variable has p-values of 0.395 and t-values of 0.851 on employee performance. The career development variable has p-values of 0.688 and t-values of 0.402 on employee productivity. The employee performance variable has p-values of 0.000 and t-values of 4.273 on employee productivity.
Analysis of Lean Manufacturing Using the Waste Assessment Model (WAM) to Reduce Waste in the Bolt Production Process at PT.XYZ Sinulingga, Irma Dani Br; Rusindiyanto
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.699

Abstract

PT.XYZ was established in 1975 and is a manufacturer of bolts, nuts, anchor bolts, stud bolts, tapping screws, and washers in Southeast Asia, with an annual production capacity of 48,000 tons. These products serve various industries such as construction, manufacturing, automotive, and general industries. Despite careful planning, challenges in large production volumes and varied product specifications remain obstacles in meeting customer demand. Amidst global competition and stringent industry standards, implementing lean manufacturing is crucial to enhance efficiency and competitiveness. This study aims to identify waste ≤ 17% using the Waste Assessment Model, conduct Root Cause Analysis to pinpoint waste origins, and propose improvement strategies using 5W+1H Analysis. Findings reveal Inventory (21.44%) as the highest waste contributor, attributed to interdepartmental coordination issues, production errors, lack of operator focus, delayed resource availability, and production flow bottlenecks. Additionally, Defects (18.47%) arise from excessive workload on production operators. Improvement recommendations include enhancing interdepartmental coordination, refining production scheduling, evaluating production processes, and conducting training and evaluations to enhance operator skills.
Analysis of Electrical Energy Potential from Palm Oil Frond Bioethanol: Case Study of North Bagan Sinembah Village Rokan Hilir Regency, Riau Lubis, Ariyanda; Marhama Jelita
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.734

Abstract

North Bagan Sinembah village in Riau province contributes a land area of ​​7.376,4443 ha which produces frond biomass 6,3 tons of oil palm fronds per year, North Bagan Sinembah Village so far has not had access to PLN electricity and only uses a generator with a running time of 6 hours per day. This research aims to find the electricity needs of North Bagan Sinembah village with a homogeneous sample, the sampling method used is simple random sampling. This research too test the potential of palm frond bioethanol using the fermentation method using the SuperPro Designer application, calculate potential energy and electrical power with method from a variety of mixed fuels E10%, E30%, E50%, E100%. The electricity needs of North Bagan Sinembah Village are 867,62 kWh with volumetric flow potential of 15,72 L/ha/day, 1.641,66 L/ha/month and 18.053,72 L/ha/year. By using a variety of fuel mixtures E10 produce 172,68 kWh/day, 5.261,88 kWh/month, 57.866,3 kWh/year. E30 produce 161,77 kWh/day, 4.855,16 kWh/month, 53.392,6 kWh/year. E50 produce 1.632,9 kWh/day, 50.400,66 kWh/month, 538.747,9 kWh/year and E100 produces electrical power of 1,257.30 kWh/day, 38,808.48 kWh/month, 414,835.88 kWh/year. The potential electrical power for the fuel mixture is E10 4,144.32 Watts/day, 126,285.12 Watts/month, 1,388,791.2 Watts/year. E30 produces 3,882.48 Watts/day, 116,523.84 Watts/month, 1,281,422.4 Watts /year, E50 39,189.6 Watts/day, 1,209,615.84 Watts/month, 12,929,949.6 Watts/year and E100 produces 30,175.2 Watts/day, 931,403.52 Watts/month, 9,956,061.12 Watts/year. It can be concluded that with variations in the fuel mixture of dexlite and ethanol at each percent of the mixture, it has a large potential for E50 (50% Dexlite and 50% ethanol) per year of 12,929,949.6 watts, due to harvesting palm fronds twice a month, the production bioethanol is carried out every month with a potential electrical power of 1,209,615.84 watts/month.
Environmental Impact Analysis on Furniture Industry by Implementing Life Cycle Assessment (LCA) Method Lestari, Aulia Dita Ananda; Farida Pulansari
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.747

Abstract

Currently the industry is experiencing an increase every year. One of them is the furniture production industry. In East Java there is a furniture industry which experiences an increase in production demand every year. This does not only apply to local consumers but also foreign consumers. PT XYZ implements a make to order system, namely products are made when consumers order them. The amount of production demand is directly proportional to the amount of industrial waste produced, but the company has never carried out an analysis of the impacts. Therefore, this research will discuss environmental impact analysis using life cycle assessment to calculate the life cycle value of the production of a furniture product with cradle to gate limitations. This research was assisted by OpenLCA 2.1.0 software using the Agribalyse_301 database and then for impact assessment using the EDIP 2003 method. After calculating, recommendations for improvement were looked for to reduce the resulting environmental impact. The results of this research for 1 unit of table product production are 3.51166 Pt. The highest impact was produced by the production process, namely Ozone depletion of 0.58215 Pt. This impact can pollute the environment due to the large use of electricity. It is best for companies to use electricity from renewable sources.

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