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Menampilkan 2091–2100 dari 16173 artikel
Scenario-Based Dynamic Modeling for Urban Settlement Management
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The growth of residential areas in peri-urban regions of metropolitan areas such as Jabodetabek demonstrates high complexity due to the dynamic interaction between population growth, land use, and environmental degradation. This study aims to develop a dynamic system-based simulation model using a scenario approach to analyze sustainable residential area management policies. The scenarios were developed consists of no intervention, pessimistic, moderate, and optimistic based on parameters such a...
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Digital Transformation of Import Logistics for Operational Efficiency: Case-Based Evidence from the Plastics Industry
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
This study aims to explore the use of digital systems to reduce import process costs, increase the percentage of national direct deliveries from ports to consumers, and analyze the impact of proposed improvement measures. The research employs a single case study approach with data collected through observation, document analysis, and quantitative data collection from one of the biggest plastic resin distribution companies in Indonesia. The data were analyzed using the CIMO (Context-Intervention-...
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Recent Advances in Catalytic Systems for the Sustainable Synthesis of Ethyl Levulinate from Biomass
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The esterification of levulinic acid to ethyl levulinate presents challenges in catalyst efficiency, reusability, and environmentally friendly process design, restricting commercial scalability. This study examines recent studies on diverse catalysts, including Deep Eutectic Solvents (DES), homogeneous and heterogeneous systems, and their effects on yield. DES is positioned as a more sustainable option, with yields as high as 99.8%, quicker reaction times, and a lower environmental effect. Wh...
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Computational Assessment of Orthopedic Implant Durability Using Finite Element Analysis
Haryanto, Ismoyo
; Bagastomo, Riondityo Soni
; Ismail, Rifky
; Siregar, Januar Parlaungan
; Cionita, Tezara
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Finite Element Analysis (FEA) provides a rapid and cost-effective method to evaluate orthopedic implants. This research investigates the mechanical performance and long-term durability of a seven-hole SS 316L Basic Fragment Set (BFS) reconstruction plate designed for pelvic fractures. Adhering to ASTM standards, material properties were defined via tensile testing (ASTM E8), while static and fatigue analyses were performed using a displacement control method in a four-point bending test setup in...
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Mechanical Performance of Alkali-Treated Rattan Strips with Epoxy Coating for Sustainable Composite Applications
Kalatharan, Sujentheran Nair
; Imran, Al Ichlas
; Irawan, Agustinus Purna
; Siregar, Januar Parlaungan
; Cionita, Tezara
; Fitriyana, Deni Fajar
; Anis, Samsudin
; Dewi, Rozanna
; Setyoadi, Yuris
; Wisnu Prayogo
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The use of natural materials like rattan in eco-friendly composites is gaining attention in materials engineering. However, its hydrophilic nature and interaction with other materials can affect mechanical strength. This study investigates how variations in rattan size and alkali treatment influence the tensile properties of single rattan strips through an epoxy dipping process. Rattan was prepared with varying lengths (5–15 cm), widths (3–8 mm), and a consistent thickness (0.5 mm). Alkali treat...
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1 Sitasi
Artificial Neural Network-Based Forecasting of Rice Yield Using Environmental and Agricultural Data
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
This study presents a high-accuracy predictive model for rice production in Indonesia using Artificial Neural Networks (ANN), achieving an R² of 98.11%, Mean Absolute Error (MAE) of 0.0966, and Mean Squared Error (MSE) of 0.0189. Climate variability remains a significant challenge to rice cultivation in regions like Malang City, where unpredictable environmental factors such as rainfall, temperature, and humidity hinder effective crop planning and yield estimation. To address this, we developed...
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1 Sitasi
Comparative Performance of GLMM and GEE for Longitudinal Beta Regression in Economic Inequality Modelling
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Due to the shortcomings of conventional Gaussian methods, specialized models are frequently needed for longitudinal data analysis with bounded outcomes, such as the Gini ratio. In order to model economic inequality in Indonesia, this study compares the effectiveness of Generalized Linear Mixed Models (GLMM) and Generalized Estimating Equations (GEE) for beta-distributed longitudinal data. Root Mean Square Error (RMSE) and pseudo R-squared values are used to assess model performance using panel d...
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An Artificial Neural Network Approach for Predicting Pavement Distress: A Case Study Toward Sustainable Road Maintenance
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The Surface Distress Index (SDI) is a crucial parameter to consider when determining road conditions as part of an effective maintenance strategy. This study aims to develop an SDI prediction model using road surface distress data to enhance maintenance planning. The developed Artificial Neural Network (ANN) model resulted in an optimal structure with two hidden layers comprising 6 neurons and 4 neurons, respectively. The model was trained using two years of surface distress data collected from...
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Comparative Analysis of Observed and Empirical Rainfall Distribution for Flood Hydrograph Modeling
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Flood disasters in Indonesia are persistent challenges during the rainy season, primarily due to intense rainfall and inadequate flood control. This study evaluates hourly rainfall to characterize hydrology and predict flood discharge more accurately, benefiting water infrastructure planning. The research used modified Mononobe methods, observational data, and rainfall-runoff modeling, including HEC-HMS simulations with the SCS-CN unit hydrograph. Observed rainfall simulated a flood discharge of...
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Biosorption of Chromiun in Batik Wastewater Using SCOBY Microbial Biomass: A Sustainable Bioremediation Approach
Nur Lu’lu Fitriyani
; Dina Adelia
; Slamet Budiyanto
; Ristiawati
; Jaya Maulana
; Muhammad Choiroel Anwar
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Batik wastewater poses an environmental threat due to hazardous heavy metals like lead, cadmium, and chromium (Cr). This study investigated the effectiveness of SCOBY (Symbiotic Culture of Bacteria and Yeast), a microbial consortium from kombucha production, in reducing Cr levels in batik wastewater. SCOBY is a promising biosorbent for heavy metals. The research aimed to assess SCOBY's ability to decrease Cr contamination in different types of batik wastewater (hand-drawn, stamped, and printed)...
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