cover
Contact Name
Mega Novita
Contact Email
asset@upgris.ac.id
Phone
+6281958990880
Journal Mail Official
asset@upgris.ac.id
Editorial Address
Advance Sustainable Science, Environmental Engineering and Technology (ASSET) Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
Location
Kota semarang,
Jawa tengah
INDONESIA
Advance Sustainable Science, Engineering and Technology (ASSET)
ISSN : -     EISSN : 27154211     DOI : https://doi.org/10.26877/asset
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
Articles 50 Documents
Search results for , issue "Vol. 7 No. 1 (2025): November-January" : 50 Documents clear
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) Doni Ismail Awang Santoso; 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 Irma Dani Br Sinulingga; 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 Ariyanda Lubis; 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 Aulia Dita Ananda Lestari; 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.
An Experimental Study on Axial Stress-Strain Behaviour of FRP-Confined Square Lightweight Aggregate Concrete Columns Butje Alfonsius Louk Fanggi; Budi Suswanto; Yuyun Tajunnisa; Jusuf Wilson Meynerd Rafael; Jonatan Lassa; Ahmad Basshofi Habieb
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.v7i1.865

Abstract

This article presents the results of a research project that aimed to evaluate how the number of fiber-reinforced polymer (FRP) layers and the compressive strength of concrete affect the stress-strain behaviors of concrete columns produced from artificial lightweight aggregate with square cross-sectional shapes. Eighteen test specimens were manufactured and wrapped with glass fiber-reinforced polymer (GFRP) material. The specimens were later subjected to concentric compression for experimental evaluation. The experimental results suggest that GFRP efficiently confines square lightweight aggregate concrete columns. Furthermore, the test results indicate that adding FRP layers augments the ultimate stress and strain. Finally, the results suggest that an increase in the compressive strength of concrete leads to a corresponding increase in the ultimate stress. On the other hand, it has been observed that the ultimate strain decreases as compressive strength increases. The research findings reveal the behaviour of FRP-confined square lightweight aggregate concrete columns, which may also be utilized to formulate a new design-oriented model for these columns.
Sustainable Digital Transformation in Healthcare: Challenges and Directions in the Society 5.0 Era Haryo Kusumo; Dian Marlina; Achmad Solechan
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.v6i4.876

Abstract

This study conducts a comprehensive literature review on the digital transformation required by health service institutions during the Society 5.0 era. Utilizing articles related to digital transformation and health services, the study presents qualitative data simplified into descriptive narratives to draw meaningful conclusions. The method employed is a qualitative literature review. The review identifies significant challenges, including big data utilization, data security, privacy concerns, and the implementation of cloud computing systems. Furthermore, the research synthesizes current trends and proposes actionable recommendations for overcoming these challenges, such as adopting Health 5.0 and fostering integrated Community 5.0 systems. The study underscores the importance of maintaining the human aspect amidst technological advancements. Future research directions are outlined, focusing on the "big data-based society" within Society 5.0 to explore innovative solutions, mitigate barriers, and ensure sustainable digital transformation in healthcare services.
Financial Performance Assessment of Flat Buildings Using Life Cycle Cost and Cost–Benefit Analysis Griselda Junianda Velantika; Reguel Mikhail; Karina Meilawati Eka Putri; Elok Dewi Widowati; Rizqi Alghiffary; Muhamad Fauzan Akbari
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.v7i1.1005

Abstract

Buildings resulting from construction projects are durable assets and decisions related to construction projects have enduring impacts. In many cases, building owners prioritize only the initial costs, such as building design, construction, and equipment costs, while neglecting the future operation and maintenance costs. This research studies life cycle costing (LCC) analysis to evaluate the financial feasibility of urban housing. The LCC calculates all the costs incurred and benefits during the building's operation. The cost is generated from construction, operational, and maintenance costs. At the same time, the benefit breaks down into flat rental costs, retail rental costs, and parking costs. The costs incurred are estimated over 25 years, and the parameters of feasibility are net Present Value (NPV), Benefit-Cost Ratio (BCR), and Internal Rate of Return (IRR). The study generates negative NPV, BCR < 1, and 0.61% of IRR. It indicates that the project is not feasible. This research gives alternatives to make the project feasible. This study employed a trial-and-error approach to ascertain the viability of investing in flat rentals by systematically adjusting rental rates. Incremental adjustments to rental rates are tested by a series of rate hikes of 50%, 100%, 150%, and 200% using a trial-and-error approach. The project will become feasible if the flat rate increases to 150-200% of the initial rental rate.
Non-Verbal Cues in Interactive Systems: Enhancing Proactivity through Winking and Turning Gestures Siti Aisyah Binti Anas; Mazran bin Esro; Ahamed Fayeez bin Tuani Ibrahim; Yogan Jaya Kumar; Vigneswara Rao Gannapathy; Yona Falinie binti Abd Gaus; R. Sujatha
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.v7i1.1011

Abstract

This investigation investigates the extent to which proactive behaviours in interactive objects—specifically animated eyes that exhibit behaviours such as blinking and turning—improve user interaction. Through a two-phase process, we investigate the influence of these behaviors on users’ perceptions of proactivity in both physical and virtual environments. In Phase I, we conducted a real-world study using a tangible box with animated eyes to evaluate user responses to expressive behaviours in single- and multi-person interactions. The results indicate that blinking significantly improves perceptions of the box’s intentionality and engagement, thereby fostering a more robust sense of proactivity. Phase II expands this investigation to a virtual environment, where 240 participants on Amazon Mechanical Turk (MTurk) participated, thereby validating the real-world findings. The online study confirms that perceived proactivity is consistently increased across contexts by blinking and turning. These findings indicate that integrating basic, human-like behaviors into interactive systems can enhance user engagement and provide practical advice for the development of sustainable, low-complexity interactive technologies. These discoveries facilitate the future development of resource-efficient and accessible human-computer interaction and robotic systems by simulating intentionality through minimal behavior.
Current Scenario of Maintenance 4.0 and Opportunities for Sustainability-Driven Maintenance Suhas H. Sarje; Manoj A. Kumbhalkar; Dinesh N. Washimkar; Rajesh H. Kulkarni; Maheswar D. Jaybhaye; Wadhah Hussein Al Doori
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.v7i1.1028

Abstract

Industry 4.0, a shift from Industry 3.0, aims to enhance productivity and efficiency in operations and supply chain management. Maintenance plays a crucial role in this process, and IoT-enabled (Ind. 4.0) condition monitoring is a key component of this technology. However, challenges persist in implementing effective IoT-enabled condition monitoring solutions. The triple bottom line perspective (Economical, Ecological, and Social) is also crucial for realizing Ind. 4.0. This paper investigates the state of IoT-enabled industrial condition monitoring (Maintenance 4.0) and sustainability-driven maintenance (Maintenance 5.0), focusing on the challenges associated with implementing these concepts. The IoT-enabled technologies are divided into three layers: the application layer, the networking layer, and the physical layer. The physical layer, the lowest layer, faces numerous challenges in realizing maintenance 4.0 effectively. A new system configuration for vibration-based condition monitoring in an Ind. 4.0 environment is proposed to address these shortcomings. Wi-Fi technology is found to be the best option for high-throughput communication needs in the current scenario. The literature review reveals that while the economic aspect of maintenance 5.0 has been thoroughly examined, the environmental and social aspects have not been thoroughly assessed. Future research should focus on developing a new sustainable maintenance model that incorporates IoT-enabled technologies and investigates sustainable performance indicators to understand sustainability aspects quantitatively.