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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 330 Documents
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Reinforcement Learning for Personalised Critical Care Treatment using Scalable Parallel Computing Utomo, Chandra Prasetyo; Ichikawa, Kohei; Insani, Nashuha; Thonglek, Kundjanasith; Xingyuan, Kang; Maulani, Chaerita; Rachmawati, Ummi Azizah
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2080

Abstract

Sepsis is one of the leading causes of death in intensive care units. Many patients do not receive timely or effective treatment, which lowers their chances of survival. We developed a reinforcement learning–based framework to provide personalised treatment recommendations for sepsis patients. The model creates simple patient representations from treatment responses, groups patients with similar patterns, and learns the best treatment policy for each group. To reduce long training time, we use parallel and distributed computing. Using the MIMIC-III database and off-policy evaluation with weighted importance sampling, our method achieves a policy value of 79.933, higher than the clinician policy (47.654) and a general AI policy (57.658). A higher policy value indicates a lower mortality risk. These results show that our method can support faster, more accurate, and more effective treatment decisions in the ICU.
Design and Optimization of an Automated Ceramic Drying System Using Arduino for Small and Medium Enterprises Muchamad Sugarindra; Arifa, Dhinar Elma; Parkhan, Ali
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2164

Abstract

The ceramic drying process in Small and Medium Enterprises (SMEs) often relies on ambient conditions, leading to prolonged drying times and inconsistencies in product quality. This study presents the design and optimization of an automated ceramic drying system that utilizes an Arduino-based microcontroller to regulate temperature and airflow in real-time. A full factorial experimental design was employed to investigate the influence of two critical parameters—temperature (35°C, 40°C, 45°C) and air velocity (3 m/s, 4 m/s, 5 m/s)—on drying performance. Experimental results identified the optimal condition at 45°C and 3 m/s, yielding the shortest drying time of 18.031 seconds. Statistical analysis using ANOVA confirmed the significance of temperature (F = 34.69, p = 0.002) and air velocity (F = 6.97, p = 0.044), with temperature accounting for 78.87% of the total variation. Furthermore, Signal-to-Noise Ratio (SNR) analysis based on the Smaller-the-Better criterion validated the robustness of the optimal settings. The proposed system offers SMEs a low-cost, scalable, and reliable solution, enabling improved drying efficiency, enhanced product quality, and reduced process variability through accessible automation technologies.
Development of Performance Assessment Tools for Supervision Consultants in Infrastructure Projects Rarasati, Ayomi Dita; Wahyu Putra Rahman
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2284

Abstract

The construction of toll roads requires supervision consultants capable of ensuring project quality, time, and cost performance, yet a structured and measurable assessment framework is lacking. This study develops a comprehensive performance assessment rubric for toll road supervision consultants using quantitative methods, including a literature review, a survey of 50 respondents, validation by six experts, and an application test by 12 evaluators. Data were analyzed using validity and reliability tests, Mann–Whitney U, AHP, TOPSIS, and ROC methods. The results identified 18 valid and reliable indicators grouped into three dimensions soft skills, technical skills, and project supervision. The most critical indicators were QA/QC (C=0.810), periodic reporting (0.782), and work volume management (0.711). Final dimension weights were 40% for technical skills, 30% for soft skills, and 30% for project supervision. Application of the rubric indicated consultants’ performance remained in the “Average” category, highlighting areas for measurable improvement in supervision practice.
Comparative Stress Analysis of Balanced Cantilever Bridges Using MIDAS Civil Based on AASHTO, Eurocode, and IRC Priesta Stephan Hutagalung; Tavio
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/0vvd7w51

Abstract

Evaluating stress behavior in prestressed concrete girders during staged construction is important for structural safety. This study compares stress responses based on three design codes: AASHTO, Eurocode, and IRC. A total of 21 construction stages were simulated using MIDAS Civil 2023 to model a balanced cantilever bridge. The analysis included time-dependent effects such as creep, shrinkage, and prestress losses, following each code’s assumptions. To ensure fair comparison, material properties, geometry, and environmental conditions were kept uniform. Results show that the highest compressive stress at the top fiber occurred in the Eurocode model (11,960 kPa), while the highest tensile stress was found in the IRC model (841.3 kPa). At the bottom fiber, IRC also produced the highest compressive (18,630 kPa) and tensile stresses (1,282 kPa). These differences indicate variations in how each code accounts for viscoelastic behavior and stress redistribution. This study highlights the importance of developing a national design standard in Indonesia that balances safety and efficiency by adapting insights from international codes.
Motorcycle Passenger-Car Equivalents from Time-Headway Data with Lane-Occupancy Adjustment in Urban Indonesia Aulia Dewi Fatikasari; Achmad Dzulfiqar Alfiansyah; Zaid Dzulkarnain Zubizaretta; Rohmahillah Aviskanasya Septiandri; Agistya Rachma Larasati; Roma Artha Uly Napitupulu; Linie Rose Dayaday Santacera; Sinta Nabilah Salma
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2458

Abstract

Motorcycles dominate traffic composition in East Surabaya, making the determination of Passenger Car Equivalent (PCE) values for motorcycles a crucial aspect of road performance assessment. This research evaluates motorcycle PCE value on six road sections on Raya Prapen Street, Jemursari Street, Jemur Andayani Street, Panjang Jiwo Street, Kali Rungkut Street, and Rungkut Industri Street, each observed in two directions (12 segments in total), with samples collected during peak hours on Monday (06:00–10:00) and Friday (15:00–19:00). The Time Headway method is used to calculate the PCE value, and followed by statistical procedures, including t-tests and the calculation of the coefficient of determination, were performed using SPSS software. Findings show a strong correlation between PCE values and the characteristics of each road section. The adjusted motorcycle PCE values range from 0.12 to 0.20 across all sections, with site-wise pairs for direction 1/direction 2 as follows: Raya Prapen 0.20/0.16, Jemursari 0.18/0.19, Jemur Andayani 0.14/0.12, Panjang Jiwo 0.20/0.19, Kali Rungkut 0.15/0.16, and Rungkut Industri 0.15/0.14. The result coefficient of determination of R2 = 0.817 indicates a strong association between Time Headway and PCE Values. This research is limited by the assumption of a uniform motorcycle dimension factor across all sections.
Integrating Digital Technologies for Sustainable Tourism: Quantitative Assessment of Tech-Enabled Organizational Practices Ningsih, Supiah; Irwansyah, Rudy; Syahputra, Danil; Arfa Syera, Inda; Arief Tirtana, Muhammad
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2589

Abstract

This study examines how digital transformation technologies drive sustainability performance in the tourism sector by integrating Internet of Things (IoT), artificial intelligence (AI), and big data analytics into organizational culture and leadership. A mixed dataset of 300 tourism enterprises in Asahan Regency, Indonesia, complemented by technical indicators such as energy consumption (kWh) and IoT penetration, was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that Tech-Enabled Organizational Culture (TE-OC) (β = 0.487, p < 0.001) and Tech-Enabled Green Leadership (TE-GL) (β = 0.531, p < 0.001) significantly influence Smart Green Culture (SGC), which has the strongest effect on Technology-Supported Sustainable Tourism Performance (TS-STP) (β = 0.664, p < 0.001; R² = 0.651). While the direct effects of TE-OC and TE-GL on TS-STP are limited, their indirect effects through SGC are substantial, indicating that digitally enabled culture plays a key mediating role. The findings suggest that competitiveness in sustainable tourism depends not only on managerial orientation but also on measurable investments in digital technologies. Limitations include the cross-sectional design and reliance on self-reported data; future research should incorporate longitudinal sensor-based data and comparative analyses across destinations.
Evaluating the Results According to Simulations to Improve Power Control and Enhance Optical Communication Performance Zeki Mohammed, Dunya; Abdulmunem Kadhim Hammadi
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2606

Abstract

In this paper, an experimental study has been conducted to detail power-control optimization in wavelength-division multiplexed (WDM) optical communication systems by use of Erbium-Doped Fiber Amplifiers (EDFAs). Our study shows that adaptive power control can greatly improve the performance of the system with a superb 35.7% improvement of the maximum power capacity relative to traditional constant power schemes. Throughout its study, the paper uses elaborate simulations to determine the bit-error rate (BER), signal-to-noise ratio (SNR), and energy efficiency of the different modulation formats, such as QPSK and 16-QAM. Findings suggest that adaptive power control has the potential to conserve as much as 50 percent of power in various data rates, with QPSK modulation presenting a better result in power-constrained conditions. We have also tried several optimization algorithms, such as gradient descent and more sophisticated ways of learning to adapt, like Adam, and found that there is indeed a strong advantage in the number of steps to converge with high precision. We have demonstrated that intelligent power management is important in improving both the performance and energy efficiency of optical networks, which is the future of more sustainable communication solutions. 
Enhancing Sustainability in Linear WSNs Using DSDVTRI: A Triple-Interleaving Routing Approach for Pipeline Monitoring Kumaran, Divya Nacciar; Siva Kumar Subramaniam; Ahamed Fayeez Bin Tuani Ibrahim; Vigneswara Rao Gannapathy
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2620

Abstract

The safety and efficiency of oil and gas pipelines remain critical due to the high risks associated with leaks, pressure surges, and undetected structural damage. WSNs provide an effective solution for real-time monitoring by deploying sensor nodes along the pipeline. However, existing routing protocols such as DSDV and AODV face challenges with congestion, packet loss, and uneven energy consumption in long linear topologies. This study proposes DSDVTRI, a triple-interleaving extension of the DSDV protocol designed to improve data delivery and energy efficiency in linear pipeline networks. Simulations were performed using NS2.35 version across node counts ranging from 20 to 200. The results show that at number of nodes 100, DSDVTRI improves throughput by 14.2% and delivery ratio by 3.05% compared to DSDV, while reducing energy consumption per packet by 6.3%. These findings demonstrate that DSDVTRI enhances performance stability, making it suitable for real-time and energy-efficient pipeline monitoring applications.
Fractional Corner Charges in Ionic Crystals: A Case Study of Sodium Chloride Using the DV-Xα Molecular Orbital Method ISHII, Tomohiko; Takashita, Tomoko; Nishimura, Takaki; Sakane, Genta
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2630

Abstract

Recent theoretical predictions have revealed that even simple ionic crystals such as sodium chloride (NaCl) can exhibit fractional corner charges due to their topological characteristics. In this study, we employ the DV-Xα molecular orbital method to analyze the electronic structure of NaCl clusters in 1D, 2D, and 3D configurations. Cluster models were constructed with varying atomic numbers, and their highest occupied molecular orbitals (HOMOs), net atomic charges, and electrostatic potential maps were calculated. The results demonstrate that HOMOs are consistently localized on Cl 3p orbitals, showing a clear tendency for charge accumulation at the edges or corners, depending on the cluster dimensionality. Particularly in 3D models, the DV-Xα calculations explicitly confirmed the emergence of fractional corner charges of ±e/8,  in agreement with topological insulator theory. This study highlights that even classical insulators like NaCl can exhibit topologically nontrivial electronic properties, challenging the conventional view of ionic crystals as topologically trivial. These insights may stimulate future computational and experimental research toward charge engineering and the design of sustainable ionic and functional materials that exploit charge localization effects.
Numerical Simulation of Mixed Convection Heat Transfer in a Vehicle Cabin with Variable Aspect Ratios Using CFD Sarmad A. Ali; Riyam Basim Al-Tameemi; Maithem Hussien Rasheed; Ali M. Ashour
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2638

Abstract

The study of mixed convection heat transfer within rectangular cavities is a vital topic in engineering applications such as ventilation systems and heat exchangers. In this research, ANSYS Fluent software was used to simulate heat transfer within a rectangular cavity. The left wall was heated, and the right wall was cooled; the aspect ratio (AR) was varied (0.5-2), and an inlet was installed at the top and an outlet at the bottom, while the other walls were insulated. The Reynolds number (Re) values ranged from (4000 to 22000), and the Richardson number (Ri) ranged from (10 to 1200). The results showed that the Nusselt number increased with increasing Re and decreased with Ri, reaching a maximum of 185.3 at AR = 0.5 and Re = 21312, while the highest thermal efficiency of 0.284 was recorded at AR = 1 and Re = 4736. The flow and temperature contour also revealed that AR = 1 provides an optimal balance between heat transfer enhancement and flow stability, making this ratio most suitable for the design of a highly efficient thermal system.

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