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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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Kota semarang,
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INDONESIA
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 272 Documents
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Benchmarking Graphics Rendering Capabilities: Java Processing vs. P5.js Firdaus, Muhammad Bambang; Darma, Adi Surya; Arifin, Zainal; Anam, M. Khairul; Halim, Muhammad Yusuf; Yunianta, Arda
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): 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.v8i1.2036

Abstract

Rendering efficiency is a critical factor in cross-platform animation development. This study benchmarks the performance of Java Processing and P5.js by measuring frame rates and frame counts across six heterogeneous computing devices for 2D and 3D animation tasks. Each benchmark was executed under standardized conditions for 60 seconds, and performance data were collected at fixed intervals. Results indicate that Java Processing consistently achieves higher rendering efficiency, with up to 313% greater frame rates and 265% higher frame counts compared to P5.js, particularly in computationally intensive 3D scenarios. These differences are attributed to Java Processing’s compiled execution and direct OpenGL integration, while P5.js performance is constrained by browser-based execution and limited GPU utilization. The findings suggest Java Processing is preferable for high-performance simulations and complex visualizations, whereas P5.js remains effective for lightweight web-based 2D applications.
A Participatory GIS Framework for Multi-Hazard Climate Risk Mapping in Indonesia Fariz, Trida Ridho; Budiarti, Ratna; Listyarini, Jassica; Puspitasari, Atikah Tri; Calysta, Nadia; Naufal, Muhammad Ahganiya; Heriyanti, Andhina Putri; Eralita, Norma
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): 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.v8i1.2113

Abstract

Climate change has emerged as a global crisis with severe consequences for tropical and coastal regions. Pekalongan Regency, Indonesia, exemplifies these challenges, facing recurrent floods and landslides that threaten livelihoods and infrastructure. Risk mapping is urgently needed to guide adaptation strategies, yet many regions face constraints due to limited data availability. This study develops a multi-hazard risk mapping approach that integrates Geographic Information System (GIS) technology with stakeholder participation through Public Participation GIS (PPGIS). Hazard and vulnerability analyses were conducted using disaster records, socio-economic indicators, and spatial datasets, validated through Focus Group Discussions (FGDs) with government agencies and local stakeholders. The findings were synthesized into a structured four-stage framework encompassing stakeholder education (Kick-off), preliminary spatial analysis, participatory indicator validation, and finalization of risk maps. Results reveal distinct spatial patterns: flood risks dominate northern coastal and riverine villages, while landslide hazards are concentrated in the southern highlands. Stakeholder involvement not only improved data validity but also enhanced local adaptive capacity. The proposed PPGIS framework provides a transferable model for participatory climate resilience planning, particularly in data-scarce regions such as the global south area.
Comparative Performance Evaluation of Electric Powertrains in ICE Motorcycle Conversion Rusli, Muhammad Rizani; Binugroho, Eko Henfri; Nugroho, Mochamad Ari Bagus; Maulana, Himmawan Sabda; Dewanto, Raden Sanggar; Ariwibowo, Teguh Hady; Pramadihanto, Dadet; Jati, Mentari Putri
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): 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.v8i1.2163

Abstract

Electrifying Indonesia’s motorcycle fleet is critical for reducing urban emissions and fossil fuel dependence. This study experimentally evaluates three powertrain configurations—hub motor, continuously variable transmission (CVT), and single-gear ratio—for converting internal combustion engine (ICE) motorcycles to electric two-wheelers (E2W). Using a Honda Vario 125 platform with a 72 V, 3 kW Brushless DC motor and 1.44 kWh lithium-ion battery, performance was assessed via chassis dynamometer and real-world urban road tests. The single-gear ratio configuration demonstrated superior overall performance, achieving 5.15 kW peak wheel power, 188.7 N·m torque, fastest acceleration (0–128 km/h in 22 s), and highest energy efficiency (37.0 km/kWh), enabling a 51.8 km range per charge. The hub motor excelled in top speed, while the CVT consistently underperformed. Benchmarking shows up to 104 % efficiency improvement over prior designs. These results provide quantitative guidance for converters, manufacturers, and policymakers, establishing the single-gear ratio as the optimal solution for urban and commercial E2W applications and supporting sustainable mobility initiatives.
Prediction of Soil Nutrients from Different Soil Textures using Portable Spectrometer and Machine Learning Himawan, Harki; Nainggolan, Rut Juniar; Rakhmadi, Handono; Djoyowasito, Gunomo; Ubaidillah; Nopriani, Lenny Sri; Al Riza, Dimas Firmanda
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): 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.v8i1.2166

Abstract

Soil nutrients, such as nitrogen, phosphorus, and potassium, are critical for plant growth and agricultural productivity. Conventional laboratory methods for measuring these nutrients are accurate but often time-consuming, costly, and environmentally taxing. This study explores the potential of portable visible-near infrared (Vis-NIR) spectrometer combined with machine learning algorithms as a rapid, cost-effective, and eco-friendly alternative for soil nutrient analysis. Soil samples of clay, clay loam, and sandy clay were collected and analyzed using artificial neural network (ANN) approach to predict soil nutrients. A total of 81 reflectance spectra data from each soil type were acquired using an AS7265x sensor and processed to develop a predictive model for nutrient content. ANN models demonstrated high accuracy, with R² values exceeding 0.8 in each type of soil texture. This study emphasizes the potential of portable Vis-NIR spectrometer and machine learning integration to revolutionize soil nutrient analysis, offering significant improvements in agricultural efficiency and sustainability.
Influence of Mixing Time on the Hardness and Structure of Local Clay-Based Crucibles Rusiyanto; Rifky Ismail; Athanasius Priharyoto Bayuseno; Daffa Agya Mahardika; Fitriyana, Deni Fajar; Wirawan Sumbodo; Aldias Bahatmaka
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): 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.v8i1.2314

Abstract

Although clay crucibles are frequently utilized in regional industries, their inadequate mechanical strength often causes durability issues. This study investigates the influence of mixing duration on the Vickers hardness and macrostructure of crucibles composed of local clay, kaolin, and molasses. The composition was made up of 47.5% clay, 47.5% kaolin, and 5% molasses as a binder, with 15% water added relative to the total weight. Durations of 15, 30, and 45 minutes were evaluated to determine their impact on material qualities. The findings indicated a positive relationship between mixing duration and hardness. At 15 minutes, the mean hardness was 4.1 HV, which escalated to 8.5 HV at 30 minutes and 12.4 HV at 45 minutes. The increased hardness with extended mixing durations indicates a more homogeneous particle dispersion and enhanced bonding among the raw ingredients. The findings suggest that increasing the mixing time can elevate the quality and longevity of locally manufactured crucibles, rendering them more appropriate for small-scale metallurgical applications.
Developing a Trigonometry AR Book Using an Ethnomathematics Approach to Improve International Collage Students' Motivation and Learning Outcomes Buchori, Achmad; Nursyahidah, Farida; Prasetyowati, Dina; Osman, Sharifah
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): 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.v8i1.2372

Abstract

This study presents the development of an Augmented Reality (AR)-based trigonometry learning media integrating ethnomathematics to enhance students’ conceptual understanding and engagement. The AR system was designed using the ADDIE framework, emphasizing the design and development stages, with validation conducted through expert review and limited user trials at Universitas PGRI Semarang (UPGRIS) and Universiti Teknologi Malaysia (UTM). The AR Book integrates local cultural geometries such as traditional architectural patterns and ornaments into interactive 3D visualizations to contextualize trigonometric concepts. The system was developed using Unity 3D and Vuforia SDK, optimized for Android devices. Validation results indicated high content validity (92%) and strong media practicality (88%), while small-scale implementation showed improved student motivation and learning outcomes. Beyond educational outcomes, the research contributes to the advancement of culturally adaptive AR learning media design and demonstrates the potential scalability of ethnomathematics-based AR systems in STEM education.
Uncertainty-Quantified Grid-Convergence Analysis of RANS Turbulence Models for 2-D Incompressible Backward-Facing Step Flow in OpenFOAM Kaiway, Mickael Ruben; Joni; Giai, Agustinus; Siregar, Samuel Parlindungan; Tambing, Enos; Pius, Obia
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): 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.v8i1.2390

Abstract

A concise evaluation of Reynolds-Averaged Navier–Stokes (RANS) turbulence modeling for two-dimensional, incompressible, steady backward-facing step (BFS) flow at Re = 1000–3000 was conducted using OpenFOAM’s SimpleFoam solver with the standard k–ε model. A tri-level mesh enhancement (coarse, medium and fine) was implemented, and ambiguity was measured utilizing the Convergence Ratio (CR) and Grid Convergence Index (GCI). The fine grid (CR = 0.54; GCI = 0.0059%) was the only configuration exhibiting monotonic convergence, ensuring valid GCI estimation. Results showed reattachment length increasing from 0.11 m to 0.12 m, with stronger vortical structures and steeper shear gradients at higher Re. This study uniquely integrates RANS model validation with grid-uncertainty quantification, providing guidance for mesh optimization and reliable turbulence modeling in BFS simulations.
Optimising Time Efficiency in Green Retrofit Jetty Projects through Envision and Lean-Based Value Stream Mapping Aprilian Ismana; Mawardi Amin; Pio Ranap Tua Naibaho; Deprizon Syamsunur
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): 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.v8i1.2394

Abstract

Indonesia, as a strategic global maritime axis, has only 7.03% of its islands equipped with jetties, and jetty construction poses environmental challenges due to emissions and ecological impacts. Green retrofitting provides a sustainable solution by improving energy efficiency in existing jetties. The Envision rating system guides the transition from conventional to green infrastructure, assessing quality of life, leadership, resource allocation, natural environment, and climate resilience. Despite its benefits, 32% of green projects experience delays. This study analyzes the key factors influencing time performance optimization in Green Retrofit Jetty projects using Lean–Value Stream Mapping (VSM). Using SEM-PLS, ten critical factors were identified. Lean–VSM facilitates process visualization and waste elimination. The Green Retrofit Jetty, achieving an Envision Platinum rating, reduced project duration from 250 to 220 days, demonstrating a 12% improvement in time performance while supporting efficient and sustainable jetty development.
Engineering Assessment of Earthquake Resistant Building Code Based on Seismic Load Responses Dwi Yanto; Tavio; Jusuf, Andrew Hartanto
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): 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.v8i1.2400

Abstract

Earthquake-resistant building design is fundamentally aimed at safeguarding life safety while controlling structural damage and preserving post-earthquake functionality under uncertain seismic actions. Although contemporary seismic codes provide detailed procedures for estimating earthquake-induced loads, differences in seismic hazard representation, force distribution rules, and deformation assumptions can lead to considerable variation in predicted structural response. This study presents a comprehensive engineering assessment of earthquake-resistant building codes based on seismic load responses in reinforced concrete moment-resisting frame structures. An integrated analytical framework combining elastic seismic analysis and nonlinear static performance evaluation is adopted to examine global force demand, displacement behavior, stiffness degradation, and post-yield response. Particular attention is given to the interaction between force-based seismic demand indicators, such as base shear and story forces, and deformation-based performance measures, including interstory drift and performance point characteristics. By systematically evaluating structural response across elastic and inelastic stages, the study demonstrates that reliance on elastic force demand alone is insufficient for capturing true seismic performance. The results emphasize the importance of performance-oriented assessment in enhancing the reliability, consistency, and resilience of earthquake-resistant building design.
ANN-Based Mechanical Property Prediction of Bio-Fibre for Wind Turbine Blade Materials with FEM Validation Setia, Siaga Whiky; Arini, Nu Rhahida; Bayu Dewantara, Bima Sena
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): 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.v8i1.2482

Abstract

The increasing demand for renewable energy highlights the need for sustainable materials in wind turbine blade design. Conventional fiberglass blades, while effective, present environmental and disposal challenges, motivating the exploration of bio-composites as greener alternatives. This study aims to develop and validate an integrated framework that combines experimental validation, Finite Element Method (FEM) pre-screening, Artificial Neural Networks (ANN), and Rule of Mixtures (RoM) validation to evaluate the feasibility of bio-fibre wind turbine blades Mechanical properties of flax, hemp, sisal, jute, pineapple fiber, and resin are obtained from previously published experimental studies available in the literature, with resin content fixed at 90% and permutations generated for ANN training. Experimental tensile testing on a 90% resin–10% pineapple fiber composite yields 131 MPa, closely matching the permutation prediction of 118.6 MPa, confirming dataset reliability. FEM simulations are then employed to pre-screen potential maximum performance values within the dataset range, ensuring the physical feasibility of ANN input properties. Using these validated inputs, the ANN predicts feasible bio-composite compositions, which are further compared against RoM estimations. The results show that ANN predictions remain within a 7% deviation from RoM values, demonstrating consistency with micromechanical theory. This integrated framework highlights that FEM-based input screening enhances ANN prediction reliability, and pineapple-based bio-composites can serve as sustainable and technically viable alternatives for wind turbine blade applications.

Page 26 of 28 | Total Record : 272

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