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 40 Documents
Search results for , issue "Vol. 8 No. 1 (2026): November - January" : 40 Documents clear
Risk-Based Zoning for Urban Flood Mitigation Using HEC-HMS–HEC-RAS 2D Areas Kurnianingsih, Oktavia; Hadiani, Rr Rintis; Setiawan, Bambang; Sobriyah
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.v8i1.2566

Abstract

This study aims to assess the potential for urban inundation and formulate flood mitigation strategies based on spatial analysis. A 2D modelling approach using HEC-HMS and HEC-RAS was applied to simulate the extent and depth of inundation in the urban area of Karanganyar, Indonesia. The models were validated with field observations using RMSE. Model validation confirmed the agreement between simulated and observed data. Validation was quantified using RMSE = 0.42 m across 15 checkpoints, with an average MAE of 0.31 m, and a coefficient of determination (R²) of 0.87. The 2D mesh resolution was set at 10 m, balancing computational efficiency with spatial accuracy. The maximum inundated area reached 3.8 million m² (±0.2 million m²), and the 95th percentile inundation depth was 4.7 m, concentrated in residential and agricultural zones. The results were used to delineate risk zones for prioritised flood mitigation planning. The simulation identified risk zones for prioritised flood mitigation planning, revealing inundated areas of up to 3.8 million m² with maximum depths around 4.7 m (±0.3 m), primarily affecting residential areas, agriculture, and public areas. Risk-based zoning was used to prioritise mitigation strategies, including improved drainage and the construction of infiltration ponds. The risk-based zoning approach demonstrated that implementing infiltration ponds and improved drainage in Priority Zone A could reduce flood exposure by approximately 28% under a simulated 20-year return period storm. These findings provide a measurable basis for adaptive flood mitigation strategies in urban areas.
Optimization of Off-Grid Solar Lighting Systems Using OEMOF Integrated with IoT Field Data — Case Study: Bukit Kunci, Indonesia Herraprastanti, Eva Hertnacahyani; Kiono, Berkah Fajar Tamtomo; Haryanto, Ismoyo; Muchammad, Muchammad; Korai, Muhammad Safar
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.v8i1.2672

Abstract

The growing need for efficient night lighting in natural tourist destinations highlights the importance of reliable and sustainable energy solutions. This study analyzes the optimization of solar-based lighting at Bukit Kunci, Indonesia, using the Open Energy Modelling Framework (OEMOF) combined with real-time monitoring via the IoT ThingSpeak platform. Photovoltaic (PV) panel data recorded at 15-second intervals during February–July 2025, yielding 532,520 records, were cleaned and aggregated as input to model the interaction of PV, batteries, LED lights, inverters, and backup generators, to minimize lifecycle cost and energy loss. Results indicate that the current PV capacity (0.4 kWp) supplies less than 50% of lighting demand, with a high levelized cost of energy (≈9.2 USD/kWh) and low reliability (self-sufficiency 3–22%). Optimization through capacity expansion (≈224 modules, ≈1.25 kWh storage) eliminated load loss probability and reduced LCOE to ≈0.05 USD/kWh. This approach demonstrates OEMOF’s potential to enhance system efficiency, ensure reliable night lighting, and support eco-tourism while offering replicability for rural destinations.
Geopolymer Bio-Patch Repair: Microbially-Induced Calcite and Pozzolanic Fly Ash and Rice Husk Ash for Corrosion-Resistant of Reinforced Concrete Repair Pinta Astuti; Angga Jordi Wisnu Nouvaldi; Aprilia Rahmayanti; Pramudya Surya Shabura; Muhammad Etandra Fara Adzani; Dylan Ataa Tsany; Adhitya Yoga Purnama; Rahmita Sari Rafdinal
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.v8i1.2729

Abstract

Indonesia’s archipelagic environment subjects concrete structures to severe corrosion and sulfate attacks, necessitating sustainable repair solutions. This study evaluates a geopolymer-based bio-patch repair mortar utilizing fly ash (FA), rice husk ash (RHA), and Bacillus subtilis bacteria to induce Microbially Induced Calcite Precipitation (MICP). While the silica-rich ashes act as pozzolanic materials, the bacteria enhance durability by reducing oxygen levels and lowering corrosion rates. Microscopic analysis confirmed the formation of calcium carbonate ($CaCO_3$) and calcium silicate hydrate (C-S-H), both of which significantly improve mechanical properties. The research identified an optimum mixture of 93% FA, 6% RHA, and 1% bacteria, which achieved a compressive strength of 30 MPa, a density of 2.32 g/cm³, and a low water absorption rate of 3.25%. These results meet standard performance requirements, demonstrating that this eco-friendly geopolymer-MICP system is a viable and innovative contribution to structural repair in aggressive environments.
Graph-Theoretical Approach to Clusters – Analysis of Clusters with 5–11 Vertices – Sekine, Rika; Hayakawa, Shogo; Taki, Sota; Sato, Moemi; Ikegaya, Haruki; Kimura, Hiroto; Nakata, Tomoya; Murono, Ayumi; Kobayashi, Yosuke
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.v8i1.2731

Abstract

In this study, we systematically analyzed all isomers of 5–11 atom clusters using a graph-theoretical approach and evaluated their maximum Hückel energy (HE) within the Hückel approximation. The maximum HE increased with the number of bonds, reached a maximum at an intermediate value, and then decreased again, with the peak located near the average of the minimum and maximum possible edge numbers. This relationship was well reproduced by a simple linear expression. The isomers with maximum HE were found to have nearly uniform degree distributions, and classification by graph radius (Gr) and maximum degree (Ma) revealed that they possess compact and homogeneous structural characteristics. By extrapolating these trends, structural features of maximum-HE isomers were predicted for clusters with 12–14 atoms. These results demonstrate the effectiveness of a graph-theoretical description for analyzing cluster stability and provide a foundation for extending the analysis to larger clusters and for comparison with first-principles calculations.
Unifying Dual-Pyramid Structure and Y–G Channel Synergy for Full-Reference Image Quality Assessment Ali Abdulazeez Mohammed Baqer Qazzaz; Yousif Samer Mudhafar; Siraj Muneer Mahboba
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.v8i1.2783

Abstract

Standard metrics such as SSIM often overlook complex chromatic distortions, creating a gap between objective scores and human judgment. To address this, we present the Synergistic Structural Similarity Index (SSSI), a metric grounded in a novel dual-pyramid strategy that integrates Gaussian-blurred stability with direct subsampling sharpness. Our method departs from luminance-only analysis by employing an equal, synergistic partnership between the luminance (Y) and Green (G) channels, mirroring the eye's spectral sensitivity. On the KADID-10k dataset, SSSI achieves an SROCC of 0.7793. This represents a significant 4% performance gain over the standard SSIM baseline, demonstrating that integrating chromatic data with dual-scale structural analysis provides a more accurate proxy for human visual perception.
The Effect of Lean Management on Innovation Performance: How Absorptive Capacity Affects Food Manufacturing Industry? Laricha Salomon, Lithrone; Purna Irawan, Agustinus; Suhartanto, Eko
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.v8i1.2820

Abstract

This study analyzes the effect of Lean Management Practices (LMP) on Innovation Performance (IP) through the mediating role of Absorptive Capacity (AC) in Indonesia’s food and beverage industry. A structured questionnaire adapted from validated instruments (Gaspersz, 2007; Cohen & Levinthal, 1990; Damanpour, 1991) was distributed to 200 managers and supervisors from food manufacturing firms listed in the Indonesian Ministry of Industry registry, yielding 180 valid responses (90% response rate). Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0, assessing reliability, convergent, and discriminant validity (HTMT ≤ 0.90). The results indicate that Lean Management strongly influences Absorptive Capacity (β = 0.919, p < 0.001) and both directly and indirectly enhances Innovation Performance (β = 0.690 and 0.725, respectively). Effect sizes (f² = 0.482 – 5.431) and R² > 0.83 confirm the model’s high explanatory power, while confidence intervals (95%) validate the path significance. These findings demonstrate that lean implementation enhances innovation effectiveness primarily through knowledge assimilation and transformation. The study’s main limitation is its single-sector, self-reported cross-sectional design, which may introduce common-method bias. Future research should apply multi-method or longitudinal approaches to increase generalizability.
Kernel Density and Spatial Modeling of Informal Settlement Concentration: Methodology and Findings from Palembang, Indonesia Sukmaniar; Listyaningsih, Umi; Muhidin, Salut
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.v8i1.2980

Abstract

Rapid urbanization has intensified the growth of slum settlements in Indonesian cities, including Palembang, where informal housing commonly develops along riverbanks. This study aimed to identify and evaluate the spatial distribution and density of slum areas in Palembang City through a Geographic Information System (GIS)–based approach combining Kernel Density Estimation (KDE) and Receiver Operating Characteristic–Area Under Curve (ROC–AUC) analysis. Primary spatial data were obtained from 382 household survey points representing 64 slum polygons across 13 sub-districts, supplemented by administrative boundary and land-use data from the Palembang City Government. Spatial analysis and validation were conducted using ArcGIS 10.3 software. The KDE results showed density values ranging from 0 to 58.1123 units per 100 m², with the highest concentrations found along the Musi River corridor, decreasing outward from the riverbanks. Model validation achieved an AUC value of 0.968 (96.8%), demonstrating excellent predictive accuracy. These spatial outcomes provide actionable guidance for policymakers by identifying priority zones for sanitation and drainage upgrades, flood-resilient housing design, and targeted relocation planning. The study highlights the practical role of GIS-based quantitative modelling in supporting evidence-based slum management and urban infrastructure planning in Indonesia. 
Integrated 1D-2D Resistivity Inversion for Mapping Seawater Intrusion in a Coastal Aquifer:  Kenjeran-Surabaya, Indonesia Case Study Farichah, Himatul; Aryaseta, Bagas; Fatikasari, Aulia Dewi; Oktavia, Dini
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.v8i1.3002

Abstract

This study investigates the extent of intrusion in the Kenjeran coastal aquifer, Surabaya, Indonesia, through an integrated geophysical approach. Four one-dimensional Vertical Electrical Sounding (VES) surveys and two two-dimensional Electrical Resistivity Tomography (ERT) transects were conducted using Schlumberger and Wenner–Schlumberger configurations to obtain both depth-specific and laterally continuous resistivity data. The 1D VES results detected low-resistivity layers (<1.0 Ω·m) at depths exceeding 58–66 m, indicating deep saline groundwater. The 2D ERT sections identified wedge-shaped low-resistivity anomalies (0.1–0.8 Ω·m) at depths of 7.5 m to 48 m, indicating active intrusion progressing inland. Intrusion is more severe in the northern sector, with vertical penetration up to 48 m and horizontal encroachment beyond 200 m from the shoreline. The integration of 1D and 2D resistivity imaging proved effective in delineating saline–freshwater interfaces, enabling targeted mitigation measures and informed groundwater management to safeguard Kenjeran’s aquifer from further degradation.
Effect of NaOH Molarity on Gel Formation at the Geopolymer–Artificial Aggregate Interface for Pavement Applications Saputro, Yayan Adi; Adnan; Mohammad, Gunawan; Hidayati, Nor; Muna, Nando Nilna; Ningrum, Aprilia Citra
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.v8i1.3058

Abstract

This study investigates the effect of NaOH molarity (10, 12, and 14 M) on gel formation at the geopolymer–artificial aggregate interfacial transition zone (ITZ) for sustainable pavement binder courses. The study focuses on microstructural and chemical characteristics rather than direct mechanical performance. Using XRF, FTIR, and SEM–EDX analyses, the evolution of gel phases from N-A-S-H to hybrid N/C-A-S-H at the interface was systematically characterized. Increasing NaOH molarity enhanced aluminosilicate dissolution and promoted Ca incorporation, as evidenced by the shift of the main Si–O–T band from approximately 1080 cm⁻¹ (10 M) to 960–970 cm⁻¹ (14 M) and the increase in Ca/Si ratio from 0.15 to 0.22. Among the investigated mixtures, the 12 M variant exhibited the most homogeneous and compact ITZ microstructure, characterized by a continuous reaction rim, balanced Si/Al (2.96) and Ca/Si (0.22) ratios, and minimal microcracking observed at the microscopic scale.
GIS-Based Spatial Equity Assessment of Temporary Waste Disposal Sites in Riverbank Informal Settlements: A Case Study of Palembang, Indonesia Saputra, Wahyu; Aryaningrum, Kiki; Pujianto; Sukmaniar; Rhamadan, Muhammad Qobul Ridho
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.v8i1.3124

Abstract

Rapid population growth and urbanization in informal settlements along the Musi Riverbank, Palembang City, have intensified pressure on the waste management system, particularly due to the uneven distribution of Temporary Disposal Sites (TPS) and limited collection services. This study, conducted in June–July 2025, examines the spatial conditions of TPS and waste management through a quantitative methods approach that integrates Geographic Information Systems (GIS) with a survey of 385 respondents across 13 sub-districts. Results indicate that TPS facilities remain concentrated in densely populated areas, while Gandus and Kertapati exhibit substantial service gaps, with 63.1% of residents unaware of any TPS near their area and 20.3% reporting inadequate TPS availability. Spatial analysis shows that only 34.0% of households live within 0–0.5 km of a TPS, while 24.4% are located more than 1 km away, indicating significant underserved zones. The study recommends GIS-based TPS redistribution and stronger community engagement mechanisms as actionable strategies to support evidence-based municipal waste planning and policy.

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