bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Data and transaction security as priority in operationalizing blockchain technology in ferry transportation: a literature review
Authors: Sarjana Sri 
Published: December 2024

Abstract
Blockchain technology has a potential benefit of becoming valuable asset in ferry transportation industry to increase safety, transparency, efficiency and meet increasing market demands in meeting safety and sustainability standards. This study aims to find the important role of blockchain technology in the development of ferry transportation. Two main approaches in describing analytical techniques include bibliometrics to find derivatives of blockchain technology concept, and analytical hierarchy process to obtain alternative priorities in the development of ferry transportation. Journal publications within last ten years obtained through searches on Google Scholar are used as the main data in developing scientific literature analysis. The results found that several alternatives play an important role in the development of blockchain technology applied to ferry transportation include data and transaction security, supply chain tracking, identity and access management, operational efficiency, regulatory compliance, interoperability with external systems, transparency and accountability. Three alternatives in developing blockchain technology are main priority in this study and potential to have high novelty value, including data and transaction security, operational efficiency and supply chain tracking. The results of study recommend that the operationalization of ferry transportation really requires the development of blockchain technology to encourage increased safety and sustainability of ferry transportation.
Optimization of disaster management vessel networks in integrated disaster management governance in Indonesia using genetic algorithm
Authors: Rasyid Erwin , Artana Ketut Buda , Sambodho Kriyo 
Published: December 2024

Abstract
Indonesia is highly susceptible to natural disasters due to its location at the convergence of three major tectonic plates: the Indo-Australian, Eurasian, and Pacific plates. These disasters significantly impact the nation’s economic development. This study focuses on natural hazards such as earthquakes, tsunamis, volcanic eruptions, landslides, floods, and flash floods. Currently, maritime disaster management primarily involves ships from the Indonesian National Armed Forces (TNI). However, this often leads to mismatches between disaster-prone areas and the locations of available ships, resulting in delayed emergency response times and higher disaster management costs. In addition to TNI ships, the government has vessels from the National Search and Rescue Agency (BASARNAS) and the Indonesian Maritime Security Agency (BAKAMLA) that could be utilized for disaster management. There are also situations where certain response functions cannot be effectively performed by ships, leading to inadequate assistance for disaster victims and potentially increasing fatalities. This research aims to optimize the use of existing ships for disaster management by considering operational costs and coverage areas through the application of the Genetic Algorithm (GA) method. GA is used to identify the optimal combination of ships that minimize costs and maximize coverage areas. The findings of this study provide several ship combinations suitable for responding to natural disasters in Indonesia, which can serve as valuable input for the government in enhancing disaster management efforts.
Investigating Post-fire Critical Area of ship base on Numerical Fire Simulation
Authors: Anggara S , Komariyah S , Hariadi R F , Lesmana R 
Published: December 2024

Abstract
Ship fires are recognized as significant maritime incidents that can lead to substantial losses, including loss of life. In events where fires severely compromise a vessel’s structural integrity, the costs associated with comprehensive repairs can be exorbitant, placing considerable pressure on shipowners. Ensuring post-fire structural integrity is paramount. Therefore, it is essential to provide technical considerations that aid shipowners and classification societies in identifying critical areas of a ship’s structure that require replacement. This study aims to investigate the post-fire critical areas of ship structures through numerical fire simulations. By leveraging the properties of steel, which can undergo microstructural changes when subjected to high temperatures and rapid cooling, critical structural areas can be identified based on fire-induced heat exposure. A specific case study involving a fire incident aboard a 7,500 GT bulk carrier, triggered by the failure of an auxiliary engine, is examined. The simulations utilize on-site data and actual post-fire conditions to draw robust conclusions. The insights derived from this research are expected to enhance the understanding of the impacts of fire on ship construction and facilitate more efficient and accurate post-fire inspections.
Leveraging Bayesian Network to Improve the Marine Insurance’s Condition Survey Form for Passenger Vessel
Authors: Faishal M , Gurning R O S , Santoso A , Waskito D H 
Published: December 2024

Abstract
To prevent the losses caused by accidents in passenger vessel, marine insurance is becoming one of the alternative solutions for the vessel’s owner to retain their financial capability. One of the most essential phases in marine insurance is survey inspection, which utilises survey condition forms as guidance. However, the current form is not designed explicitly for particular vessel types, leading to inaccurate insurance assessment. The primary objective of this study is to identify and develop an adaptive and comprehensive condition survey form for passenger vessels in Indonesia by incorporating a qualitative and quantitative risk assessment, which will be the cornerstone of this study. The Bayesian Network (BN) approach was utilised to analyse several factors that lead to a sinking accident. Twenty-one accident data from Indonesian passenger vessels were utilised as base data for generating the conditional probability. The results indicated that vessel structural defect and unqualified crew are the two most significant factors contributing to the sinking accident’s critical events, such as loss of stability and buoyancy. A practical improvement for the existing survey form has been proposed, which will benefit marine surveyor companies by enhancing the safety and accuracy of ship assessment.
Evaluation of tree species suitability in Pesanggrahan Sangga Buana Urban Forest, South Jakarta
Authors: Haromaen C R , Hermawan R , Pamoengkas P 
Published: December 2024

Abstract
The development of an urban forest requires planning by selecting appropriate tree species based on the site so that the benefits and functions of the urban forest are optimal. This study aimed to assess the level of suitability between the tree species based on factor aggregate of biomorphology-ecology characteristics, management, aesthetic-safety, and tree health. Research procedures include determining evaluation factor criteria, data collection, weighting criteria using the Analytical Hierarchy Process, preparing tree species suitability evaluation equations, and determining the level of suitability of tree species in each area. The research produced equations for evaluating the suitability of tree species in: a) jogging track= 0,16.B + 0,48.M + 0,07.E + 0,29.K, b) river border= 0,20.B + 0,24.M + 0,05.E + 0,50.K, c) playground= 0,11.B + 0,28.M + 0,14.E + 0,46.K; where: B = biomorfology-ecology characteristic factor score, M= management factor score, E= aesthetic factor score, and K= health factor score. The tree species most suitable on the jogging track area are breadfruit and cotton fruit. The leucaena, june plum, and jackfruit trees have high suitability at the river border. Rain, butterfly, gnetum, frangipani, and matoa are very suitable.