bluuebunny/crossref_metadata_2025 huggingface dataset:
A Review of the Influence of Global Anthropogenic Activity on the State of Biosphere
Authors: Petrov Mihai , Traneva Velichka , Tranev Stoyan , Todorov Venelin
Published: December 2024

The current stage of the World is characterized by a very intense anthropogenic activity with the aim of providing energy for whole of humanity. The pollutants emitted as a result of anthropogenic activity accumulate in the atmosphere and some of them have a greenhouse effect. Greenhouse gases lead to an increase in atmospheric temperature and as a result we have negative consequences on flora and fauna with frequent natural cataclysms (floods, drought, torrential rains, strong winds, spontaneous natural wildfires, etc.). The main purpose of the work is the systematization of the very recent current literature with the elaboration of the qualitative and quantitative description of the atmospheric state influenced by pollutants. It is found the following moment from this generalization that the increase in the concentration of pollutants of the atmosphere leads to the increase of the Albedo values of the unique complex Earth-Atmosphere system. The proportionality coefficient between the Albedo and concentration values contains the time interval required for combustion as well as the power of the solar flux and the specific heat of combustion of the fuels. The following fact can be found by the quantitative expression that when the fuels with a high specific heat of combustion are used, then the level of pollutants in the atmosphere is as minimal as possible with minimal negative effects on the flora and fauna.
Spreading and leveling of finite thin films with elastic interfaces: An eigenfunction expansion approach
Authors: Papanicolaou N C , Christov I C
Published: December 2024

The flow of a thin viscous liquid layer under an elastic film arises in natural processes, such as magmatic intrusions between rock strata, and industrial applications, such as coating surfaces with cured polymeric films. We study the linear dynamics of small perturbations to the equilibrium state of the film in a closed trough (finite film). Specifically, we are interested in the spreading (early-time) and leveling (late-time) dynamics as the film adjusts to equilibrium, starting from different initial perturbations. We consider both smooth and non-smooth spatially symmetric and localized initial conditions (perturbations). We find the exact series solutions for the film height, using the sixth-order complete orthonormal eigenfunctions associated with the posed initial-boundary-value problem derived in our previous work [Papanicolaou N C and Christov I C 2023 J. Phys.: Conf. Ser. 2675 012016]. We show that the evolution of the perturbations begins with the spreading of the localized perturbations, followed by their mutual interaction as they spread, and finally, interactions with the confining lateral boundaries of the domain as the perturbations level. In particular, we highlight how the leading eigenvalues of the problem determine the scalings of certain figures of merit with time.
Effective signal denoising with adaptive polynomials
Authors: Idirizov Byulent
Published: December 2024

The study presents an informatic model for signal processing and noise reduction, harnessing the assistance of mathematics. Advanced noise reduction algorithms are applied to improve signal quality. A MATLAB program was developed integrating algorithms designed to reduce noise regardless of its parameter. Employment of adaptive polynomials was also utilized to enhance the reduction of noise interference. All algorithms within the model have been thoroughly automated, ensuring seamless execution. The results demonstrate significant improvements in signal clarity, with filtered signals closely matching the expected noiseless signals. One of the model’s aims was to achieve a significant reduction in noise emitted by rapidly moving objects, an aim that was effectively achieved. The model is applicable in various fields requiring precise signal analysis, demonstrating robust noise reduction capabilities. As an example, it could encompass security-oriented applications such as radar systems and communication networks.
Enhanced Monte Carlo Techniques for Solving Linear Systems
Authors: Apostolov Stoyan , Georgiev Ivan , Nikitov Nikita , Traneva Velichka , Tranev Stoyan , Petrov Mihai , Dimitrov Yuri
Published: December 2024

A novel hybrid Monte Carlo algorithm for solving systems of linear algebraic equations is introduced and evaluated in this study. This algorithm builds on the recent “Walk on Equations” Monte Carlo method developed by Ivan Dimov, Sylvain Maire, and Jean Michel Sellier. For the first time, this approach has been compared with the Gauss-Seidel method for matrices of big size. Significant improvements have been made to the algorithm by selecting optimal values for the relaxation parameters, resulting in a considerable reduction in computational time and lower relative errors across a specified number of iterations. The convergence of the algorithm has been rigorously established through a new theorem. It has been demonstrated that the original algorithm can be optimized by properly balancing the iteration matrix. Additionally, a sequential Monte Carlo method developed by John Halton, which utilizes the control variate method iteratively, has also been implemented.
Development of rainfall hyetographs for the North Coastal Area of Central Java
Authors: Suripin  , Ulfiana Desyta
Published: December 2024

Temporal distribution of hyetograph is a significant data used by engineers for designing hydraulic structures and urban drainage systems. It is used to estimate peak flood discharge and flood volume. The design storm hyetograph need to be determined accurately before taking any hydrologic analyses. The North Coast of Central Java-Indonesia has been severely affected by flooding during the last two decades. So far, engineers have predicted flood discharge using hyetographs from elsewhere, even though the storm’s characteristics are local. The developed hyetograph in a certain region may not necessarily be adopted in different places. Therefore, it is necessary to develop local hyetographs. This article is aimed to develop hyetographs for the North Coast of Central Java-Indonesia. Analytical statistic approach to historical data is applied to develop the storm hyetographs. The results reveal that there was a difference between the Alternating Block Method (ABM) hyetograph, which tended to be symmetrical, and the hyetograph developed tended to skew to the left (positive skewness), with lower peak storm. It is recommended to evaluate the use of the ABM method in other locations in Indonesia by developing hyetographs based on historical rainfall data.
Identification of spatial potential flood-prone area using topographic wetness index under the digital elevation model of Kr. Keureuto watershed, North Aceh.
Authors: Rizalihadi Maimun , Meilianda Ella , Yulianur Alfiansyah , Away Yuwaldi
Published: December 2024

Floods are the most frequent disaster events in Lhoksukon, resulting in significant losses and community and environmental damage. Floods are generated by several factors, consisting of hydrometeorological, topographical, geological, soil, and human activities. Topography is a key controlling factor in flood initiation. Topographic analysis for detecting flood susceptibility, especially flood inundation, can be conducted using the TWI. The research aims to identify the potential spatial distribution of flood-prone areas based on TWI and assess the model accuracy using the ROC-AUC method. A case study was conducted in the Kr. Keureuto watershed. of North Aceh. TWI analysis is based on the topography of an area denoted by extracting DEM using GIS to create slope, flow direction, and flow accumulation. Higher TWI values are associated with higher flood susceptibility. The results show that the value of TWI is approximately 1.571-27.147, showing that more than 20% of area are potentially flood inundations with high and very hight rating of flood susceptibility. Furthermore, based on the analysis using field observation flood is obtained the AUC value of 71,60%. It can be concluded that the spatial model of flood-prone using TWI is good and effective for determining flood prone region in the Kr. Keureuto River basin
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Integration of the Velodyne LiDAR Sensor and Pixhawk for Indoor 3D Mapping
Authors: Ramadhania Nurya , Nur Cahyadi Mokhamad , Asfihani Tahiyatul , Fitrian Suhandri Hendy
Published: December 2024

The importance of indoor mapping has surged across various applications, encompassing human navigation, indoor exploration, and hazardous site mapping. With satellite positioning systems ineffective indoors, alternative navigational sensors and methods, such as inertial measurement units (IMU) and simultaneous localization and mapping algorithms (SLAM), have been harnessed to furnish precise indoor positioning for mapping endeavors. Leveraging LiDAR-based SLAM, which is sensitive to environmental textures and various pose configurations, addresses these challenges. In order to accomplish reliable and precise indoor 3D mapping, this study combines the Velodyne VLP-16 3D-LiDAR sensor with the Pixhawk Cube Orange, which has a 9 Degrees of Freedom (DOF) IMU sensor. The study uses the LIO-SAM (LiDAR Inertial Odometry and Simultaneous Localization and Mapping) technique, which integrates data from LiDAR and IMU to increase mapping precision. It is carried out at the BAAK Dr. Angka Building, Institut Teknologi Sepuluh Nopember, Surabaya. The experimental results reveal that the 3D indoor mapping exhibits commendable visualization and high geometric accuracy, meeting the LoD 3 criteria. Validation using a roll meter yielded a root mean square error (RMSE) of 0.3552 meters, indicating considerable accuracy. The accuracy was further validated by showing LiDAR point cloud errors ranging from 7.92% to 15.75%. Linear regression analysis confirmed a high correlation (R2 0.9954) between LiDAR point cloud measurements and manual measurements, substantiating the method’s reliability. In order to accomplish reliable and precise indoor 3D mapping, this study combines the Velodyne VLP-16 3D-LiDAR sensor with the Pixhawk Cube Orange, which has a 9 Degrees of Freedom (DOF) IMU sensor. The study uses the LIO-SAM (LiDAR Inertial Odometry and Simultaneous Localization and Mapping) technique, which integrates data from LiDAR and IMU to increase mapping precision. It is carried out at the BAAK Dr. Angka Building, Institut Teknologi Sepuluh Nopember, Surabaya.
Analysis of Ionospheric Disturbances Due to Cyclones in Geraldton City of Australia
Authors: Sri Lestari Dwi , Nur Cahyadi Mokhamad , Naufal Muafiry Ihsan , Muslim Buldan , Aprianti Evi , Kusumawardani Deni
Published: December 2024

A typhoon is a natural disaster that has the potential to cause damage and cause loss of life. On April 2, 2021, the tropical cyclone Seroja formed, reaching typhoon class category 3, which was characterized by a maximum wind speed of 140 km/s on April 11, 2021. Tropical cyclones reached typhoon class when the wind speed exceeded 119 km/h. Typhoon can generate Acoustic Gravity Waves which can cause Concentric Traveling Ionosphere Disturbances (CTIDs). One effort that can be made to mitigate typhoon disasters is to analyze the time when ionospheric disturbances are detected, which can be observed through changes in TEC values by utilizing GNSS technology. The propagation of the GNSS signal from the satellite to the receiver experiences a delay when passing through the ionosphere layer, which can be used to obtain the Total Electron Content (TEC) value. TEC is the number of electrons in a cylindrical vertical column with a cross-section of 1 m
2 along the line of sight. CTIDs due to typhoon Seroja were detected at around 09:00 UTC by GPS 9 at ~0.2 TECU. Interestingly, the CTIDs caused by typhoon Seroja were detected before the typhoon landed in Australia. It is hoped that additional information and variables regarding the comparison of the characteristics of ionospheric disturbances due to typhoons and earthquakes can be used to develop an early warning system for disasters in the future.
The Terrestrial Gravity Survey Around Ibu Kota Nusantara (IKN) Area, Indonesia
Authors: Triarahmadhana Bagas , Putra Widy , Noviyanto Dwi , Amrossalma Harka , Huda Safirotul
Published: December 2024

The Geospatial Information Agency of Indonesia (BIG) conducted a terrestrial gravity survey around the Ibu Kota Nusantara (IKN) area, projected to be the new capital city of Indonesia. The objective of the surveys was to collect gravity data to develop a geoid model serving as the vertical reference system. The survey encompassed 164 measurement points, spaced sporadically at intervals of 2.5 km to 3 km and utilizing the CG-5 Scintrex gravimeter. Each point was surveyed for 10 minutes with a 1 Hz data interval. Accurate positioning of the points was achieved using the Global Navigation Satellite System (GNSS) with real-time kinematic (RTK) method, receiving corrections from nearby Continuously Operating Reference Station (CORS), including CBAL station located in Balikpapan City. The gravity data was processed using the Gradj and Grano subprograms of the GRAVSOFT software, referenced to the primary gravity pillar GBU025, with an absolute gravity value of 978,039.879 mGal ± 0.007 mGal. The adjustment process revealed that the standard deviation of gravity values ranged from 3.102 mGal to 4.872 mGal.
The Influence of Physical Geography Parameters on Hydrometeorological Disasters (Case Study: Banjarmasin City)
Authors: Suhel Henyningtyas , Eko Wibawanto Arif
Published: December 2024

Data from the National Disaster Management Agency (BNPB) 2022 show that there were 1.381 occurrences between January and April 26. Of them, 536 incidents were flood catastrophes. The largest flood of 2021 happened in South Kalimantan at the start of the year, with losses projected to be as high as IDR 1.2 trillion. In addition, South Kalimantan Province National Board for Disaster Management reported that the Banjarmasin city remained under water, with water level above ± 50 cm and 1.5 m. 108,524 individuals had been affected, and 35,138 dwellings were affected. In order to address the hydrometeorological (flood) catastrophe risks in Banjarmasin City, this research uses spatial statistical analysis to examine the key factors that contribute to flood disasters. GWR stands for Geographically Weighted Regression. Rainfall, soil type, and land usage are among the criteria that are used. Following the GWR spatial statistical assessment, recommendations are offered that may be pursued further in the form of a research on hydrometeorology and related strategic issues for disaster management policies.
Developing Infiltration Model: Random Forest for Micro-Hydro Power Planning
Authors: Varhana Annisa R. , Utama Widya , Fitri Indriani Rista
Published: December 2024

The goal of this study is to determine the classification of infiltration for Micro-Hydro Power Planning using the Random Forest (RF) machine learning algorithm. Utilizing Landsat 8 satellite imagery, the data provides a comprehensive basis for analyzing various environmental factors relevant to infiltration. The RF algorithm models and classifies infiltration rates, ensuring precise and reliable predictions essential for effective micro-hydro power planning. The model evaluation results demonstrate excellent performance, with an Overall Accuracy of 0.97 and a Kappa Coefficient of 0.96, indicating strong agreement between predicted and actual classifications. High Sensitivity, Specificity (0.99 for all classes), and User Accuracy values (all above 0.95) underscore the model’s ability to correctly identify infiltration categories and maintain consistency in positive and negative predictions. Feature importance analysis highlights that certain spectral bands significantly enhance the model’s predictive capability, with Band 3 playing a crucial role (importance score of 100), followed by Bands 7 and 6. These bands capture specific spectral signatures associated with different infiltration rates, improving the model’s performance and reliability. The research significantly contributes to the Sustainable Development Goals (SDGs), supporting SDG 6 (clean water and sanitation), SDG 7 (affordable and clean energy), SDG 9 (industry, innovation, and infrastructure), SDG 13 (climate action), and SDG 15 (life on land) through improved resource management and environmental stewardship.
3D modeling and identification of post-dredging sediment layer types using hydroacoustic instruments
Authors: Khomsin  , Iqbal Humaidi Muhammad
Published: December 2024

Sedimentation in harbor areas is a serious problem because it can interfere with ship navigation activities due to silting depth. Overcoming the siltation problem requires dredging to transport most sediment on the bottom of the water. In 2023, dredging was carried out to overcome the siltation problem, where the dredged layer was a soft layer and a small part of the hard layer. This research focuses on identifying the type of bottom sediment layer in PT Gresik Jasatama after dredging, modeling the sub-bottom layer and its depth and in addition, analyzing the difference in depth before and after dredging and interpreting the Side Scan Sonar image. The method used is an acoustic method, which consists of various instruments used to perform the analysis. The sub-bottom Profiler uses the acoustic wave reflection principle to determine the sediment layer type. Multibeam Echosounder is used to analyze the difference in bathymetry depth in 2021 and 2023 while analyzing the type of layer based on the digitation of the Sub-bottom Profiler. An echo-logger is used to analyze the difference in depth generated by low and high frequencies. Side Scan Sonar is used to provide a visual appearance of the shape of the seabed or objects on the seabed, and Backscatter MBES is used to analyze the type of sediment at the bottom of the water. Overlay between the difference data of Echologger, Sub-bottom Profiler, and bathymetry in 2023, a hard layer in the study area indicates dredging. In addition, the bathymetry measurement in the research area in 2021 was 1-8 meters, while in 2023, it was 7-12 meters, and the depth difference between the two depths was 4 meters. Side Scan Sonar interpretation shows the hard layer and soft layer by the borehole retrieval point, and the results of the water bottom characteristics show sediments in the form of gravel, gravel silty sand, clay, and sandy clay.
Analysis of Volume Calculations for Clay Mining Excavation Plans Using The Surface to Surface Method
Authors: Nurlaily Charea Wanda , Sania Irbah Nafisatus
Published: December 2024

Calculating the volume of excavation is generally a large and complex problem for a project in an industry. This is because the accuracy of the volume calculation affects the project budget for the project provider. Calculating the excavation volume is important aspect of mine planning since it serves as a guide for hitting production goals in terms of both profit and technical success. The method commonly used in calculating excavation volume is surface to surface. To overcome this problem, a method or technique is needed to calculate the excavation volume that can provide accurate calculation results. the surface-to-surface approach will be used to optimize volume calculations. Additionally, the accuracy of excavation volume calculations based on ASTM (American Society for Testing and Material) tolerances. Analysis is carried out by calculating the smallest percentage value. In this way, excavation volume results will be obtained that are close to the reference value based on ASTM tolerances. The aim of this research is to determine the optimal results of surface-to-surface method volume calculations from the most accurate contour intervals. The volume calculation results that are closest to the reference of 999,922.91 tonnes have a percentage value of 0.01% with a volume difference to the forecast study of 77.09 tonnes. To obtain accurate volume calculations, a contour interval of 1 meter is better than several other contour intervals. This research can become new alternative in volume calculations to support SDGs activities, especially in the resource use efficiency to achieve a sustainable industrialisation.
Improving safety by fatigue life assessment of pressure hull considering corrosion factors: a review
Authors: Pambudi Arif , Santoso Agoes , Baidowi Ahmad
Published: December 2024

Research on determining fatigue endurance of submarine pressure-resistant hulls is crucial for determining their remaining operational lifespan. These studies typically focus on the effects of hydrostatic pressure on fatigue under ideal conditions without taking into account other significant factors. However, the actual condition of pressure hulls is influenced by multiple elements, one of which is operational environmental factors such as corrosion. While current research has examined these factors individually, there is a notable absence of a comprehensive analysis that integrates all of them. Corrosion can reduce structural strength due to the resulting plate thinning effect caused by hydrostatic pressure and low cyclic fatigue. This oversight hampers the development of accurate models for predicting fatigue life and compromises the safety and reliability of underwater structures. This paper addresses the research gap by emphasizing corrosion factors in fatigue life assessments using the low-cyclic fatigue method. By incorporating these elements into the assessment methodology, a more comprehensive understanding of pressure hull fatigue can be achieved, leading to more accurate predictions of pressure hull remaining lifespan.
Determining The Causation Probability of Ship Collision in the Barito River Using Fault Tree analysis (FTA) & Bayesian Network Modelling
Authors: Purwitasari Diyah , Artana Ketut Buda , Handani Dhimas Widhi , Zulfan Ardiansyah K.E
Published: December 2024

In Indonesia, five of the twenty-five vital ports are situated along rivers, with the Port of Banjarmasin having the highest visit value. Over the previous five years from 2017 to 2021, 20 collision-type accidents have occurred on the Barito River shipping channel. With the large number of ship collision accidents and fatalities occurring on the Barito River, it is necessary to make initial efforts to determine the probability of the main causal factors in order to carry out a risk assessment. This paper aims to determine the causation probability of ship collisions on the Barito River so that it can be used in risk assessments to formulate recommendations for mitigating the risk of ship collisions. The causes for ship collisions are identified using fault tree analysis (FTA) and modelled using bayesian networks, including the technical factors, environment factors, and human factors. Based on FTA result and BN sensitivity analysis, the main factor causing ship collision accidents with the largest probability value is environmental factors.