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Astri Rinanti
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Department of Environmental Engineering Faculty of Landscape Architecture and Environmental Technology Universitas Trisakti, Jakarta Gedung K, Kampus A Jl. Kyai Tapa Grogol Jakarta 11440, Indonesia
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INDONESIA
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY
Published by Universitas Trisakti
ISSN : 25799150     EISSN : 25799207     DOI : https://dx.doi.org/10.25105
Core Subject : Science, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Energy Environmental Science
The scope of the journal emphasis not limited to urban environmental management and environmental technology for case study in Indonesia and for other region in the world as well. Urban Environmental Management: environmental modeling, cleaner production, waste minimization and management, energy management and policies, water resources management, water supply and sanitation, industrial safety and health, water recovery and management, urban environmental pollution-diseases and health status, eco-drainage, flood risk management, risk mitigation, climate change and water resource adaptation. Environmental Technology: energy efficiency, renewable energy technologies (bio-energy), environmental biotechnology, pollution control technologies (wastewater treatment and technology), water treatment and technology, indigenous technology for climate change mitigation and adaptation, solid waste treatment and technology
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Teknik Lingkungan
Articles 334 Documents
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Leveraging Time Series Analytics for Sustainable Urban and Environmental Development: A Global SDG Trajectory Framework Gama Harta Nugraha Nur Rahayu; Kadarsah Suryadi; Titah Yudhistira; Ferani Eva Zulvia; Rohollah Ghasemi; Muhammad Rizki
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 9, NUMBER 1, APRIL 2026
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v9i1.24113

Abstract

Achieving the Sustainable Development Goals (SDGs), including the environmental goals (7, 12, 13, 14, and 15), requires analytical methods that capture long-term national trajectories. Existing studies have not widely used approaches that integrate similarity measurement, clustering, and forecasting. Aims: This study proposes a hybrid framework of similarity measurement, clustering, and forecasting for global SDG trajectories. By comparing cluster structures from historical SDG data with those generated using historical and forecasted trajectories, the study identifies how countries’ development patterns may shift over time. Methodology and results: The framework integrates time-series clustering and predictive modeling. Clustering utilizes both historical data from 2000 to 2025 and a combination of historical and forecasted values, employing DTW variants to measure similarities across 167 countries. K-Means, Agglomerative, and Spectral clustering algorithms are evaluated to identify the most coherent grouping. ARIMA, LSTM, GRU, and Prophet forecasting algorithms are assessed to determine the most accurate SDG score projections for 2026 to 2030. Results show that Soft DTW with K-Means produces the most coherent clusters, and ARIMA yields the lowest forecasting errors. The clustering reveals three groups representing different development pathways: strong SDG index but uneven environmental performance; strong environmental scores despite low SDG index performance; and high SDG performance with moderate environmental outcomes. These patterns highlight diverse sustainability trajectories and the multidimensional nature of global development progress. Conclusion, significance, and impact study: The study validates elastic similarity measures integrated with clustering and forecasting and provides a data-driven decision support framework to improve policy coherence and strengthen international cooperation.
Integrating Deterministic and Monte Carlo Approaches to the Risk Reduction Index for Sustainable Urban Construction Projects Feby Kartika Sari; Muhammad Sapto Nugroho; Bambang Endro Yuwono; Ryan Faza Prasetyo Prasetyo; Citra Mira Dewi Bonastria; Olgavian Ade Saputra
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 9, NUMBER 1, APRIL 2026
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v9i1.24449

Abstract

Aim: This study aims to evaluate the effectiveness of risk mitigation strategies in construction projects by integrating deterministic and probabilistic analyses within the Risk Reduction Index (RRI) framework to support sustainable urban development. Methodology and results: Deterministic RRI calculations were first applied to assess changes in risk exposure before and after mitigation measures. This was followed by probabilistic analysis using Monte Carlo simulation to account for uncertainty and variability in risk likelihood and impact. The results indicate substantial differences between the two approaches. Bad Weather (R4) demonstrated consistently effective mitigation across both methods. However, technical risks such as Quality (R11) showed a higher probability of mitigation failure under probabilistic analysis. Significant discrepancies were also observed for Land Acquisition (R1), Project Delays (R3), and Non-finalized Design (R5), where deterministic analysis indicated limited risk, while Monte Carlo simulation revealed negative mean RRI values and high failure probabilities. Conclusion, Significance, and Impact: The study concludes that combining deterministic and probabilistic RRI analyses offers a more robust and realistic assessment of mitigation performance. This integrated approach enhances the identification of hidden vulnerabilities, supports more informed decision-making, and contributes to infrastructure resilience and transparent environmental risk management in line with SDG 9 and SDG 11.
Tourism-Driven Waste and Greenhouse Gas Emissions: A Case Study of Hotels And Culinary Activities in Bukittinggi Nofriya Nofriya; Arief Sudradjat; Barti Setiani Muntalif; Benno Rahardyan; Kelvianto Shenyoputro
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 9, NUMBER 1, APRIL 2026
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v9i1.24502

Abstract

The rapid growth of tourism, particularly throughout the hospitality and culinary industries, has intensified municipal waste management issues due to increasing waste volume. Aims: This study aimed to quantify solid waste quantification and greenhouse gas (GHG) emissions assessment from hotels and culinary tourism in secondary urban centers, which contribute to overarching sustainability challenges and guide more effective municipal waste management strategies. Methodology and results: This study employed a quantitative approach by collecting waste data from various types of accommodations and interviews with 450 tourists. GHG emissions were estimated for both accommodation-generated waste and food waste, using relevant emission factors for each category. Among the sampled accommodations, the 4-star hotel recorded the highest average per capita waste generation at 0.411 kg/tourist/day and generated the highest per capita GHG emissions at 0.688 kg CO₂-eq/tourist/day. Rice generated the largest food loss and waste (FLW) at 0.014 kg/tourist/day during the post-harvest phase. FLW from meat resulted in the highest GHG emissions, at 0.023 kg CO₂-eq/tourist/day during the production phase, while FLW from fish generated the highest GHG emissions, at 0.041 kg CO₂-eq/tourist/day in the distribution and marketing phase. Conclusion, significance, and impact study: The findings indicate that higher-class hotels generate greater amounts of waste and associated GHG emissions. In terms of culinary activities, rice contributes most to food loss and waste (FLW), while meat and fish contribute the highest GHG emissions. These quantified results provide an empirical basis for improving municipal waste management and developing targeted climate mitigation strategies in the tourism sector.
Urban Environmental Risk Mitigation using PS-INSAR Time Series and 2D Seismic Analysis in Bekasi Area, Indonesia Novi Triany; Ildrem Syafri; Iyan Haryanto; Muhammad Burhannudinnur; Joko Widodo; Abang Mansyursyah Surya Nugraha; Ramadhan Adhitama; Himmes Fitra Yuda; Mira Meirawaty
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 9, NUMBER 1, APRIL 2026
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v9i1.26182

Abstract

The Bekasi region experiences ground deformation that directly impacts urban environmental functions, including the effectiveness of risk mitigation in spatial planning. However, studies in Bekasi have mostly focused on land subsidence and have rarely integrated deformation patterns with subsurface structural controls. Aims: This study investigates urban ground deformation in Bekasi by integrating Sentinel-1A PS-InSAR time series and 2D seismic analysis as a basis for evidence-based risk mitigation. Methodology and results: Sentinel-1A SLC images acquired from December 2014 to January 2026 were processed using SARPROZ to obtain line-of-sight (LOS) velocity and displacement, then cross-checked against time-series displacements from the nearest CORS, and correlated with 2D seismic sections to evaluate subsurface geological conditions. PS-InSAR results show heterogeneous deformation (approximately -10 to +5 mm/yr). The values indicate dominant subsidence in the north and uplift in the south, which may be caused by both anthropogenic and tectonic factors. Seismic interpretation indicates geological structural segmentation. There is a W-E trending thrust fault in the south that is consistent with the Baribis active fault. Meanwhile, an N–S trending normal fault in the north indicates the reactivation of an old Sunda-pattern fault structure. Conclusion, significance, and impact study: Overall, these findings confirm that ground deformation in Bekasi is not spatially uniform and cannot be explained solely by anthropogenic processes. Therefore, risk mitigation strategies should be differentiated, such as improving the design and implementation of infrastructure and drainage systems in the north, and strengthening fault-zone-based zoning and screening critical infrastructure locations in the south.

Page 34 of 34 | Total Record : 334

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