bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of Green Open Space Policy and Placemaking in Peunayong Waterfront Area of Banda Aceh City
Authors: Aulia Rizky , Fuady Mirza , Caisarina Irin 
Published: December 2024

Abstract
Green open space is important in human life and sustainable urban development by providing economic, social, and environmental benefits. However, in the implementation of development, the existence of green open space often tends to be ignored. While this area has undergone physical improvements, the application of placemaking, a community-centered approach to public space design can significantly enhance the ecological and social value of this area. This study aims to examine government policies regarding the management of green open spaces in the Peunayong waterfront area of Banda Aceh City, assess their implementation in the field, and identify the challenges encountered during the policy’s execution. This study also explores how the application of placemaking can enhance the quality of green open spaces, strengthen community attachment, and build a unique identity in the waterfront area. Qualitative research methods are used with the approach of literature study and documentation analysis using secondary data from relevant journals and government policy documents. The study results indicate that, despite the government’s establishment of various policies and regulations to ensure the provision and management of green open spaces, the implementation in Banda Aceh City continues to encounter several obstacles. The main obstacles include limited land, human resources, and funds for managing and developing green open spaces. In addition, public awareness and coordination between government agencies are also challenges in optimizing the functions and benefits of green open spaces. This research is expected to add literature on government policies related to green open spaces and their implementation, as well as provide recommendations to improve the management of green open spaces in Banda Aceh City to support community welfare and environmental sustainability.
Towards Sustainable Road Construction: Literature Review on Addressing Environmental Impacts and Promoting Green Technologies
Authors: Lendra Lendra , Dwi Hatmoko Jati Utomo , Wibowo Mochamad Agung 
Published: December 2024

Abstract
This study investigates the environmental impacts of road construction and explores strategies to promote green technologies in Indonesia. Traditional road construction methods, particularly those using asphalt and cement, have significant energy consumption and greenhouse gas emissions. This study conducted a thorough literature review to investigate green technologies and best practices to reduce emissions during the construction process. The literature review included articles published from 2004 to 2024, drawn from various national and international academic sources, and adopted the PRISMA method. It was found that key strategies include recycled materials, warm mix asphalt technology, permeable pavement systems, green roofs, and energy-efficient equipment. To mitigate these impacts, the study recommends using recycled materials, adopting energy-efficient technologies, implementing sustainable design practices, and conducting life cycle assessments. Although Indonesia has made progress, challenges such as limited funding, technology, and coordination remain. Overcoming these challenges requires increased commitment and funding, capacity building, better coordination, and stricter regulations. Future studies should investigate the development and implementation of innovative green technologies, including advanced recycled materials, more efficient construction equipment, and innovative pavement design techniques.
The Mathematical Relationship Between Volume, Speed, And Density At Seven Approached Intesections In The City Of Banda Aceh
Authors: Nasywa Farras , Fadhly Noer , Anggraini Renni 
Published: December 2024

Abstract
At Simpang Tujuh Ulee Kareng, there is an intersection with more than four approaches called Simpang Tujuh Ulee Kareng, where traffic congestion is frequently a transportation issue. Simpang Tujuh Ulee Kareng has a relatively high traffic volume. The aim of this study is to determine the extent of delays at the Seven Approaches Intersection of Ulee Kareng and identify the optimal conditions analyzed using mathematical relationships between volume, speed, and density, employing three models: Greenshields, Greenberg, and Underwood. The required data includes traffic volume, speed, geometric factors, and traffic movement at the intersection. The analysis of the seven approaches unsignalized intersection using the HCM 2010 method indicates that the road performance results in a LOS F with a delay of 113.7 seconds. Regarding the mathematical relationship between volume, speed, and density, the Greenberg model, represented by the equation S=144.0162 - 24.1823LnD, was found to be the most suitable model for the Speed-Density (S-D) relationship under existing conditions, achieving the highest R2 value of 59.36%.
Analysis of Automation and Robotics Application in Construction Project Implementation in Provinsi Aceh
Authors: Amalia Nur Aisya , Oktaviani Cut Zukhrina , Bulba Alfa Taras 
Published: December 2024

Abstract
The construction industry in Provinsi Aceh continues to develop alongside efforts by the government and private sector to accelerate post-conflict and natural disaster reconstruction. Automation and robotics are increasingly being applied in modern construction projects to enhance productivity, construction speed, work accuracy, and workplace safety. This study aims to determine the extent of automation and robotics implementation in construction projects in Provinsi Aceh. The reviewed construction projects include building structures, roads, bridges, drainage systems, irrigation, reservoirs, and dams that have been completed by contracting companies in Provinsi Aceh, funded by Anggaran Pendapatan Belanja Aceh (APBA) from 2018 to 2023. This research uses a quantitative approach through questionnaires with snowball sampling technique involving 100 respondents. The sampling was conducted by distributing questionnaires to respondents who are personnel from contracting companies at the top management level (project manager/site manager/site engineer/supervisor). The data were processed using descriptive statistical methods. The results show that the implementation of automation and robotics in construction projects in Provinsi Aceh is frequently observed in automation and robotics factors, while prefabrication factors are occasionally observed. This is evidenced by the mean value of 4.390 for automation factor, 4.030 for robotics factor and 3.375 for prefabrication factor. Overall, contractors in Aceh more frequently implement automation and robotics technology compared to prefabrication in their construction projects.
Structural Retrofitting of Corrosion-Damaged Columns in Reinforced Concrete Buildings : A Case Study in KFC Commercial Restaurant Banda Aceh, Indonesia
Authors: Mahlil Mahlil , Fachri Fachri , Hady Munirul , Maulida Siti Mira , Pratama Ucha Arief , Yusputri Rafiqa Muhnita , Ulza Adrian 
Published: December 2024

Abstract
The aim of this paper is to identify effective strategies and solution for damaged column due to corrosion. It investigates a case study of a commercial building in Aceh Province, Indonesia, that suffered from corrosion attack in its columns. The building’s structural deterioration was due to the corrosion of its embedded steel reinforcement, which led to cracking, spalling of concrete and ultimately local buckling. The assessment method that conducted on the existing building involved a combination of non-destructive testing, visual inspections, and laboratory analysis to assess the structural condition and identifying the necessary repairs. The structural model was developed using finite element analysis software, which utilizes a numerical method to simulate the structural response to different loads. The retrofitting strategy included both jacketing and the addition of wide flange profile columns to enhance structural integrity. It demonstrates the effectiveness of structural retrofitting in restoring the integrity of structural column damaged by corrosion with the retrofitted columns exhibiting up to 15 greater strength than the existing column. This study provides insights into effective strategies for rehabilitating structures affected by natural disasters.
A review of herbaceous vegetation effect on mechanical properties of soil for enhancing slope stability
Authors: Yuliana Yuliana , Kamchoom Viroon , Munirwan Reza Pahlevi , Gunawan Hendra 
Published: December 2024

Abstract
Slope instability is a critical issue that threatens infrastructure, human settlements, and the environment, with conventional stabilization methods often causing significant environmental disruption and incurring high costs. This study aims to explore the potential of native Southeast Asian plants, especially lemongrass (Cymbopogon citratus), vetiver grass (Chrysopogon zizanioides), elephant grass (Pennisetum purpureum), and alang-alang grass (Imperata cylindrica) to improve soil quality and prevent slope stability. The analysis focuses on their physical and mechanical properties to identify trends and advantages for slope reinforcement and sustainable ecological restoration in Southeast Asia. The findings highlight that lemongrass and vetiver grass demonstrate promising improvements in slope stability parameters, including friction angle, cohesion, and shear strength, making them highly effective for erosion control. Lemongrass shows the most pronounced benefits, while vetiver grass also provides substantial stabilization. In contrast, elephant grass and alang-alang grass offer less improvement in these parameters. The study suggests that future research should explore the hydraulic behavior of these species to better understand their effects on water infiltration, runoff, and soil moisture dynamics, which are crucial for comprehensive slope stability analysis.
The Effect of Wind Turbines’ Load Factor on the Overall Cost of Electricity
Authors: Cardenas Bruno , Garvey Seamus , Baniamerian Zahra , Mehdipour Ramin 
Published: December 2024

Abstract
The load factor of wind turbines has a strong effect on the wider electricity system. As the rated wind speed of turbines reduces, the load factor increases. This allows wind farms to generate constant power for longer periods of time, which in turn improves the match between the profiles of electricity demand and renewable generation and reduces the need for energy storage. The behaviour of the total cost of electricity is driven largely by the levelized cost of wind power, which has a minimum at a rated speed of 12 m/s. Faster rated speeds (>12 m/s) lead to higher electricity costs due to the lower load factors of the turbines. At slower rated speeds (<12 m/s) the higher capital cost of the turbines overshadows the improved load factors, leading to increased electricity costs.
Numerical Analysis of Pullout Capacity of Composite Suction Caisson Foundation Used For Large Scale Underwater Compressed Gas Energy Storage
Authors: Wang Hu , Xiong Wei , Zhao Zecheng , Sant Tonio , Carriveau Rupp , Ting David S- K , Wang Zhiwen 
Published: December 2024

Abstract
The suction caisson foundation, characterized by its unique installation methodology and excellent bearing capabilities, has emerged as a crucial supporting structure for marine constructions. However, the distinctive alternating cyclic high load patterns exhibited by underwater compressed gas energy storage systems significantly challenge the vertical pullout bearing capacity of regular suction caisson foundations. In this study, a novel composite suction caisson foundation is proposed to enhance the vertical pullout capacity. The pullout capacity under perfectly drained conditions is investigated by finite element analysis with ABAQUS/Standard 2020. A comparative analysis of the pullout capacity between regular suction caisson (RSC) and composite suction caisson (CSC) is conducted, focusing on aspect ratios of 0.5, 1, and 1.5. The results show that the pullout load of the proposed CSC, with the same aspect ratio, increased by a range of 12.8% to 100% compared to that of the RSC. As the aspect ratio increases, the trend of increasing pullout load decreases. The variation of displacement for the caisson at its ultimate pullout capability is relatively small, between 0.01D and 0.027D.
Socio-economic, environmental and health impacts of dietary transformation in Bangladesh
Authors: de Lange Thijs , van Dijk Michiel , Kuiper Marijke , van Zeist Willem-Jan , Bartelings Heleen , Mizan Arefin , van Meijl Hans 
Published: December 2024

Abstract
The transition to healthier diets might be accompanied by trade-offs that occur in other parts of the food system. In this study the trade-offs between socio-economic, environmental, and health indicators were analyzed in different dietary scenarios for Bangladesh between 2022 and 2050. We used a global economic simulation model with updated national food consumption data, extended with a footprint module to track environmental impacts through the food value chain in Bangladesh and its trading partners. This study compares a business-as-usual (BAU) diet with the EAT-Lancet diet and the Bangladesh food-based dietary guidelines (FBDGs). The BAU diet has a higher intake of animal products and sugar, and a lower intake of vegetables, fruits, legumes, and nuts than the EAT-Lancet and FBDG diets. We found that promoting a diet with more plant-based proteins has a strong positive impact on dietary health and an overall positive impact on the environment compared to the BAU scenario. This is due to the reduced impact of animal protein production on greenhouse gas emissions and the reduced impact of rice production on water use and nitrogen application. In addition, the transition to sustainable and healthy diets had minor impacts on the wages of low-skilled workers, Bangladesh’s self-sufficiency, and the affordability of food and cereals. In particular, the FDBG diet scenario scored best on diet and cereal affordability, as well as freshwater use compared to the other two scenarios. The decrease in the self-sufficiency ratio was comparable to the BAU diet scenario and smaller compared to the EAT-Lancet diet.
Institutions make a difference: assessing the predictors of climate policy stringency using machine learning
Authors: von Dulong Angelika , Hagen Achim 
Published: December 2024

Abstract
Despite the urgent need for ambitious national climate policies to reduce carbon emissions, their implementation lacks stringency. This lack of policy stringency is driven by a complex combination of a country’s numerous politico-economic, institutional and socio-economic characteristics. While extant studies aim at estimating causal effects between a selection of such characteristics and policy stringency, we examine the importance of a comprehensive set of predictors that underlie such empirical models. For this purpose, we employ machine-learning methods on a data set covering 22 potential predictors of policy stringency for 95 countries. Conditional random forests suggest that the most important predictors of policy stringency are of institutional nature: freedom (of press, media, associations, and elections), governmental effectiveness, and control of corruption. Further, accumulated local effects plots suggest that the relationship between some predictors, e.g. freedom or education, and policy stringency is highly non-linear.
Purification of noisy measurements and faithful distillation of entanglement
Authors: Kim Jaemin , Yun Jiyoung , Bae Joonwoo 
Published: December 2024

Abstract
We consider entanglement distillation with noisy operations in which quantum measurements that constitute a general quantum operation are particularly noisy. We present a protocol for purifying noisy measurements and show that imperfect local operations can distill entanglement. The protocol works for arbitrary noisy measurements in general and is cost-effective and resource-efficient with single additional qubit per party to resolve the distillation of entanglement. The purification protocol is feasible with currently available quantum technologies and readily applied to entanglement applications.
Dynamic instability of two-step continuous crystallization with applications to beta-lactoglobulin, lysozyme and insulin crystal growth
Authors: Makoveeva Eugenya V , Koroznikova Irina E , Glebova Alexandra E , Alexandrov Dmitri V 
Published: December 2024

Abstract
This study is concerned with a continuous operation mode of bulk crystallization from a supersaturated solution with allowance for the two-step mechanism of nucleation and growth of crystals. The integro-differential system of governing equations for the crystal-size distribution function and liquid supersaturation is formulated accounting for mass input into the saturated solution and withdrawal rate of product crystals from the crystallizer (mass exchange with the environment). This system contains the particles growth rate for the two-step nucleation mechanism, which is only a function of crystal radius when considering β-lactoglobulin, lysozyme and insulin crystal growth. The steady-state analytical solutions of this system are found for the Weber–Volmer–Frenkel–Zel’dovich and Meirs nucleation kinetics. The crystal-size distribution function for unsteady crystallization mode is found by means of the integral Laplace transform method. This function enables us to derive a single unsteady integro-differential equation for the liquid supersaturation. A linear instability analysis based on this equation is carried out. The amplification rate and frequency of small perturbations following from this analysis enable us to find the neutral stability curve and the domains of stable and unstable crystallization. We show that the frequency of perturbations stabilizes near the neutral stability curve when dealing with the stable mode of continuous crystallization.
Comparing Pixel-based and Object-based Classification for Mapping Smallholders Rice Field Types Using Planetscope Imagery in Sekampung District, East Lampung, Indonesia
Authors: Dairina Isnaini , Heru Murti Sigit , Harini Rika 
Published: December 2024

Abstract
It is imperative to obtain precise and up-to-date information on the area of rice fields, as the yield of rice is a fundamental indicator of national food security. The mapping of rice fields based on water supply is still limited, particularly in Indonesia, which is characterised by ecological and management diversity. The launch of Planetscope imagery, which offers high temporal and spatial resolution, provides the opportunity to map the types of rice fields occupied by people. The objective of this study is to compare the accuracy of land use mapping using pixel-based (maximum likelihood) and object-based (SNIC segmentation) classification using random forest classification in order to generate a rice field map. The results of the object-based classification showed a total accuracy of 92.8% and a kappa coefficient of 0.82. In contrast, the pixel-based maximum likelihood classification showed an accuracy of 74.34% and a low kappa coefficient of 0.43. The mapping of rice field types relies on remote sensing data and field interview data, with an accuracy of 88.05% and 91.09% in planting season 1 and planting season 2, respectively.
The Use of Sentinel-1 Imagery for Degraded Peatland Analysis in South Kalimantan Area with SSM Algorithm and Wosten Model
Authors: Adi Nugraha Pradipta , Hayati Noorlaila , Taufik Muhammad 
Published: December 2024

Abstract
Indonesia has about 12% of its total land area, or about 14.9 million hectares, classified as peatland. Much of this land is distributed on the island of Kalimantan, around 6.5 million hectares, on the island of Sumatra around 7.1 million hectares, and the rest is in the Papua region. Peatlands have a vital role as a source of food and habitat for various types of living things. Ecologically, these lands function as global climate change control and flood control. However, anthropogenic human activities such as drainage, deforestation, land burning, and land conversion for agriculture have caused peatlands to be degraded. This has caused peatlands to become dry, oxidized, susceptible to fire, and prone to subsidence. As a result of creating degraded peatlands, terrestrial carbon trapped in peatlands will be released into the atmosphere, resulting in a greenhouse effect that contributes to global warming. In this research, Sentinel-1 SAR imagery data can identify degraded peatlands using the Surface Soil Moisture (SSM) algorithm and the Wosten Model Method. The SSM algorithm identified 217.55 hectares of degraded peatland in Bumi Makmur Subdistrict with an accuracy of 0.647. Meanwhile, the Wosten Model identified 254.88 hectares of degraded peatland in Bumi Makmur Subdistrict with an accuracy of 0.941.
Land Parcel-Based Land Valuation System Development Strategy in Indonesia with The Concept of Multi-Purpose Cadastre
Authors: Arif Suhattanto Muh , Retno Dewi Asih , Sudirman Senthot 
Published: December 2024

Abstract
Currently, the Land Value Zone (ZNT) Map provides information about land values in Indonesia. The main problem with using Land Value Zones is that there is no difference in the value of land parcels in one zone even though they have different locations and access. This causes the value of land obtained from Land Value Zones to not reflect the actual conditions in the field, so it is often not used by related institutions, especially in tax collection. This study aims to formulate a practical land valuation policy approach that follows Indonesia’s objectives. The research method used in writing this article is a descriptive qualitative method. The primary data collection method used was in-depth interviews with key stakeholders related to the land valuation system in Indonesia. To find out the situation that is being carried out in the land valuation system in Indonesia, a SWOT analysis is used. The research has produced 5 policy recommendations to build a land valuation system in Indonesia regarding man, method, machine, material, and money.
Accuracy analysis of photogrammetric and GNSS RTK based land parcels mapping and measurement on area with dense vegetation and varied topography
Authors: Amirul Haq Nabil , Budi Martono Dwi 
Published: December 2024

Abstract
To accelerate the land registration process, Ministry of ATR/BPN of Indonesia instructed to use the photogrammetric method in the Pendaftaran Tanah Sistematis Lengkap (PTSL) started in 2023, stated in the PTSL technical instructions (JUKNIS) 2023 and 2024. Mapping of land parcels on PTSL carried out by digitizing orthophoto by community participation with additional measurements of land parcels that cannot be identified on orthophoto using GNSS RTK, which is an efficient measurement method that can measures high quantity coordinates within centimeter accuracy in a short duration. Banjarnegara Land Office, an office under ATR/BPN which in 2023 carried out PTSL project in accordance with JUKNIS, on the Kemiri and Karangmangu villages, Sigaluh District. The villages located next to each other, have varied topographic with tall and dense vegetation which can greatly influences the process and accuracy of land parcels mapping with photogrammetric method and measurements using the RTK method. In this research, an analysis will be carried out to determine the accuracy suitability of land parcel mapping and measurement based on JUKNIS in the area with varied topography and dense vegetation. This research shows that the mapping and measurement of land parcels as per JUKNIS and other regulations is satisfactory. The orthophoto map’s CE90 and LE90 accuracy is 0.281 meters and 0.673 meters, respectively, with the accuracy variability influenced by GCP coordinates quality and geometry. All digitized land parcel samples achieved planimetric accuracy standards (100%). And the RTK usage still suitable with 98.756% points that met the tolerance, but the accuracy is still affected with vegetation.