bluuebunny/crossref_metadata_2025_split huggingface dataset:
Web-Based Geographic Information System Development of Hotspots Distribution for Monitoring Forest and Land Fires Using Leaflet JavaScript Library (Case Study: Ogan Komering Ilir Regency, South Sumatera)
Authors: Sukojo Bangun Muljo , Lisakiyanto Diya Rochima 
Published: December 2021

Abstract
Forest and land fires are a disaster that occurs almost every year on Sumatra Island. Ogan Komering Ilir is one of the regencies in South Sumatra Province with a high number of hotspots causing forest and land fires every year. Prevention efforts are important to reduce the impact caused by forest and land fires on various aspects of life. One of them is by building a web-based Geographic Information System (WebGIS) for the distribution of hotspots as a form of early warning and detection system by utilizing VIIRS Nightfire (VNF) data from the remote sensing technology of the Suomi-NPP satellite which has Visible Infrared Imaging Radiometer Suite (VIIRS) active sensors which have been processed with the Nightfire algorithm. The Leaflet JavaScript library plays an important role in adding to the functionality of WebGIS with a wide selection of available plugins and easy-to-read source code to make web-based spatial information more interactive. The prototype of WebGIS with the name OKIApi has been successfully developed and has several key features such as displaying information on the distribution of hotspots that have been classified by temperature; the priority level of firefighting areas and the vulnerability level of flammable areas based on the type of land cover; route to the hotspot or the fire department locations; a chart of the estimated burned area from the source footprint of hotspot; and a chart of the number of hotspots per day that have been classified by temperature. The percentage value of the web feasibility for the functionality test to 13 WebGIS features is 100% with a very good predicate, the usability test is 91.5% with a very good predicate, and the portability test on 18 web browsers applications is 100% with a very good predicate.
Assessment of Perception on Disaster Proneness of Lembang Fault in District of Cisarua, West Java Indonesia
Authors: Handayani A P , Abdulharis R , Pamumpuni A , Meilano I , Hendriatiningsih S , Hernandi A , Leksono B E , Saptari A Y , Widyastuti R 
Published: December 2021

Abstract
The Lembang Fault is a major fault located at the northern Bandung. This fault has a high disaster risk, including ground shaking, surface rupture, and possible landslides or liquefaction. This fault can cause earthquakes of 6.5-7 magnitude, making 8 million people in four Regencies and Cities around West Bandung Regency, Cimahi City, Bandung City and Bandung Regency exposed to major disaster risk. This research focuses on assessing the Perception of Disaster Proneness of the Lembang Fault in the District of Cisarua, West Java, Indonesia. This research was conducted using a case study and deductive-qualitative approach. In addition, this research was carried out by combining engineering and social research methodologies. The survey location point is determined based on hazard data (Peak Ground Acceleration data), vulnerability data (covering building density, slope, curvature, soil character, distance from faults, etc.) and population density data. This study indicates that the public’s perception of the disaster in the Lembang Fault is very subjective. How they act is based on experience or based on their beliefs. Therefore, an essential part of this research is assessing and measuring the community’s perception of the Lembang Fault towards disasters that may arise. The government must make serious efforts to convey that the disaster in the Lembang fault is much bigger and can happen at any time. Therefore, building resilient communities that genuinely understand the dangers of living in disaster-prone areas is essential.
Preliminary Study of Landslide Susceptibility Modeling with Random Forest Algorithm Using R (Case Study: the Cisangkuy Sub-watershed)
Authors: Sukristiyanti S , Wikantika K , Sadisun I A , Yayusman L F , Soebowo E 
Published: December 2021

Abstract
Landslide susceptibility mapping is an initial measure in the landslide hazard mitigation. This study aims to evaluate landslide susceptibility in the Cisangkuy Sub-watershed, a part of Bandung Basin. Twenty-seven landslide variables were involved in this modeling derived from various data sources. As a target, 25 landslide polygons obtained through a visual interpretation of Google Earth timeseries images and 33 landslide points obtained from a field survey and an official landslide report, were used as landslide inventory data. All spatial data were prepared in the same cell size referring to the highest spatial resolution of data involved in this modeling, i.e., 8.34 m. Fifty-eight (58) landslide locations covering an area of 0.87 Ha are equivalent to 1040 cells in the raster format. In total, 2040 samples consisting of landslides and non-landslides with the same ratio, were trained using random forest algorithm. Non-landslides were sampled randomly from landslide-free cells. This modeling was executed using R environment. In this study, the result was two labels, susceptible and non-susceptible. This model provided an excellent performance, its accuracy reached 98.56%. This research needs an improvement to provide a probability that has a range of 0 to 1 to show the level of landslide susceptibility.
Disaster and Risk Mitigation at The Toll Road Planning Stage
Authors: Hermawan I. , Suhendra I. , Wiranata H. , Karim R.W. , Astuti A.W. , Silaen B. , Wicaksono D.E. 
Published: December 2021

Abstract
PT. Hutama Karya (Persero), according to Presidential Regulation No. 100 of 2014 and No. 117 of 2015, obtained an assignment to construct and operate 24 sections of Trans Sumatera Toll Road along 2,789 km, including Padang - Pekanbaru Toll Road, where almost all of the segments are located in fault areas and in areas with diverse rock formation. In terms of the number of fault locations, the toll road has a greater risk of earthquakes. Whereas in terms of varying rock formations, construction planning and improper structure determination will cause a highly cost-enhancing effect. In the planning stage, the selection of route is one of the mitigations to minimize the risks and impacts of the earthquake disaster. Toll road trajectories are designed optimally by considering the movement of the earth’s plates based on fault data on these locations and data on rock formations for the construction and structure plan of the Toll Road. Input data needed is Geological Secondary Data and Topographic Data containing information on fault areas and rock formations. Therefore, planning with Quantm Trimble software is the right solution. Determining the route with Quantm Trimble software is one of the effective and efficient methods. The main key in determining routes by Quantm Trimble is the software algorithm which can determine the route quickly by considering the main constraints such as avoiding fault areas, avoiding an area with certain rock formations also determining the construction methods on certain rock formation areas. Quantm Trimble software is able to generate several alternative routes based on user-defined constraints, including accommodating the automatic selected smoothing process according to the specified road geometry standard. The software greatly accommodates the determination of the plan by considering risk and disaster management, as well as being able to manage costs well by determining the construction method plan quickly and accurately.
Constant 12 and reflexivity 472319 hahslm on the geography of the earth in the economic era of covid
Authors: R Mochamad A 
Published: December 2021

AbstractThe purpose of this research is to analyze the geographical shape of the earth’s face with the 472319 Hahslm patterns in geomorphology. Earth undergoes the process of forming water and soil so that it becomes a continent and an archipelago. The composition of the sea and land is 7:3. The object of this study is the shape of the sea and land on earth and the Quran 13.31. This research was conducted by studying literature from books, journals, electronic media, and earth globes, and world atlases. The methodology used is descriptive-analytical. The method used is reflexivity, similarity, and dynivity with the formula 472319 Hahslm. The result obtained is the process of changing the shape of the earth’s surface towards a pattern of worship by the meaning of the holy book in the form of cutting the earth according to the meaning of the Quran. The Quran formula 13.31 forms an arrangement of 444 in the form of letter number 13, namely 1+3=4, and from 31, namely 3+1=4. The third pattern 4 is obtained from the number of letters hijaiyaj in the word for cutting the earth as many as 13 letters meaning 1 + 3 = 4. The geomorphological reflectivity of the earth resembles the pattern of 444. With the composition of the oceans and lands of 7:3 which has a difference of four from 7-3=4. In the formula, 472319 Hahslm derived from the Quran 15.87 means the Quran in the form of 6438 verses. The second meaning of 4 is obtained from the multiplication of 7 and 2, namely 7x2=14 by taking the first four words of the fourteenth phrase. And the third meaning of 4 from addition is 3+1+9=13 where the root of digit 13 is 1+3=4. The second geography of the earth is at number 4 from the geomorphology of the continents of Asia, Africa, Europe, and Australia which forms a hand pattern of 319. With the tips of small fingers located in parts of countries that have islands located in the eastern to southeastern Asian continents such as parts of Russia, Japan, Korea, China, and the Philippines. Meanwhile, the Southeast Asian region forms the index finger or pattern 1 which has a similarity to the shape of the Indonesian archipelago with the tip being large in Australia and New Zealand. Big finger thumb or pattern 9 has similarities with mainland India, Pakistan, Bangladesh in South Asia. While the Americas have similarities with pattern 7 or V for South America and pattern 2 for North America. Waters and islands are needed in a pandemic that has an economic effect. The conclusion is that the geography of the earth forms 472319 show the earth is worshiping even during the Covid economic era.
Land Subsidence Study Using Geodetic GPS and GAMIT/GLOBK Software (Case Study : Banjarasri Village and Kedungbanteng Village, Tanggulangin District, Sidoarjo Regency)
Authors: Ryanda Kevin , Handoko E Y , Maulida Putra 
Published: December 2021

Abstract
Floods are one of the natural disasters that always occur in various regions in the Republic of Indonesia. Several flood points were recorded in Banjarasri Village and Kedungbanteng Village, Tanggulangin District, Sidoarjo Regency. There is an allegation that one of the factors causing the flooding in the two villages was caused by land subsidence. Therefore, it is necessary to conduct a study to monitor the magnitude of land subsidence in the area. In this study, the Global Positioning System (GPS) observation method was used. The research was carried out by collecting data from six points which were carried out over three periods of time, namely on 22 - 27 October 2020, 24 - 29 November 2020, and 24 - 29 March 2021. Based on the results of processing and analyzing GPS data, the observed values for shift and motion vectors are obtained. There were five points of land subsidence statistically, which included BM02, BM03, BM04, BM05, and BM06 with values of respectively 3.6 cm, 7.3 cm, 5.9 cm, 4.8 cm, and 5.2 cm. The horizontal position vector moves in various ways, where BM01 and BM04 move to the southwest as far as 2.5 cm and 1.9 cm, BM05 moves to the southeast with a shift of 3.3 cm, and BM06 moves to the northeast with a shift of 4.2 cmFloods are one of the natural disasters that always occur in various regions in the Republic of Indonesia. Several flood points were recorded in Banjarasri Village and Kedungbanteng Village, Tanggulangin District, Sidoarjo Regency. There is an allegation that one of the factors causing the flooding in the two villages was caused by land subsidence. Therefore, it is necessary to conduct a study to monitor the magnitude of land subsidence in the area. In this study, the Global Positioning System (GPS) observation method was used. The research was carried out by collecting data from six points which were carried out over three periods of time, namely on 22 - 27 October 2020, 24 - 29 November 2020, and 24 - 29 March 2021. Based on the results of processing and analyzing GPS data, the observed values for shift and motion vectors are obtained. There were five points of land subsidence statistically, which included BM02, BM03, BM04, BM05, and BM06 with values of respectively 3.6 cm, 7.3 cm, 5.9 cm, 4.8 cm, and 5.2 cm. The horizontal position vector moves in various ways, where BM01 and BM04 move to the southwest as far as 2.5 cm and 1.9 cm, BM05 moves to the southeast with a shift of 3.3 cm, and BM06 moves to the northeast with a shift of 4.2 cm.
Comparative Analysis of DTM Results with Hydro Enforcement LiDAR Data Method and Interferometric Synthetic Aperture Radar (InSAR) from Radar Satellite Imagery (Case Study of Kebumen Regency)
Authors: Sukojo Bangun Muljo , Hayati Noorlaila , Usriyah Baisus Sa’adatul 
Published: December 2021

Abstract
Data containing information on the terrain elevation model is necessary for several uses related to human activities, such as development planning, spatial planning, disaster modeling, disaster mitigation planning, land productivity estimation, etc. Information about the ground elevation can be presented in a 3-dimensional topographical model such as Digital Terrain Model (DTM). There are several technologies used to form DTM data, including by using LiDAR and radar satellites (Sentinel-1). The hydro enforcement method is used to process DTM with LiDAR data by modifying the elevation value of LiDAR data in water areas during data processing. The height of this feature is modified digitally to achieve hydrological connectivity. This method aims to produce a DTM according to the principles of hydro enforcement and hydro flatten. While for processing DTM radar data, the InSAR method is used. InSAR is a remote sensing technique to extract three-dimensional information from the earth’s surface with the phase of radar waves. Additional data of morphological information and break lines were added to provide more representative information on the actual situation. The result of this research is the value of vertical geometry accuracy (LE90) of DTM to RBI data with a scale of 1:25,000. In this research, 5 kinds of DTM have been successfully formed with LE90 vertical accuracy values are as follows: LiDAR DTM with LE90 of 4.614 m; InSAR DTM with LE90 of 9.583 m; InSAR breakline with LE90 of 9.433 m; InSAR RBI assimilation with LE90 of 2.532 m; and InSAR DTM-LiDAR assimilation with LE90 of 4.077 m. DTM with the highest accuracy based on Topographic Map (RBI) 1:25,000 is InSAR DTM RBI assimilation and the lowest accuracy is DTM InSAR without breakline and assimilation data.
Monitoring of Land Use Suitability Based on Detail Urban Spatial Plan Data 2018-2038 (Case study: Gayungan District, Surabaya City)
Authors: Pribadi Cherie Bhekti , Hariyanto Teguh , Kusuma Kevin Surya 
Published: December 2021

Abstract
Land use planning in an area will refer to the regulations that have been established by the City Planning Office of each region. This is because each region has the authority to plan spatial plans in their respective regions. The border area is an area whose land use can be influenced by two different regional regulations. This is because the border area is a special area located on the border between two regions, each of which has spatial planning regulations. Gayungan District is one of the sub-districts included in the Border Area between Surabaya City and Sidoarjo Regency. To prevent overlapping spatial regulations that may occur in Gayungan District, it is necessary to monitor the suitability of land use using geographic information system technology and remote sensing. The data used in this study are the 2019 Gayungan District RDTRK Map and very high resolution satellite imagery of Pleiades Surabaya City 2019. The method used is the Object Based Image Analysis (OBIA) method. The result of this research is the suitability of land use in Gayungan District. A land use can be said to be suitable if the existing land use is in accordance with the land use in the plan. Meanwhile, land use is said to be inappropriate if the existing land use is different from the planned spatial use. All land use classes in Gayungan District in 2019 had a higher percentage of unsuitable land than the percentage of suitable land. Each percentage of land is not suitable for each land use class, namely: water body class by 92.593%, road class by 78.035%, industrial class by 77.838%, defense class by 76.706%, green open space class by 69.736%, and residential class by 52,27%. So it can be said that the land use in Gayungan District in 2019 was not in accordance with the plans in the City Spatial Detail Plan Map for 2018-2038, but the land use could be appropriate in its designation for the future, because there is a possibility of development for residential class, industrial class, and defense class on open land that is still widely available.
InaCORS-BIG Service For Practice Survey
Authors: Ramadhan Surya Alief , Kurniawan Akbar , Yudha Imam Satria , Yuwono  
Published: December 2021

Abstract
Badan Informasi Geospasial (BIG) is a government agency engaged in the field of Geospatial Information (IG). BIG provides several services that can be accessed by the general public and related to IG. One of the services provided by BIG is the Indonesia Continuously Operating Reference System (InaCORS). InaCORS is divided into various services, as Rinex data services, Online Post-Processing, RTK NTrip, and Mobile InaCORS. This study aims to determine the effectiveness and accuracy of InaCORS services for GNSS surveys using the Rapid Static method and Network RTK. The rapid static survey data is processed using online post-processing services and Network RTK (iMax, Max, and Nearest) will use InaCORS points as a base reference. This study also uses the results of the Total Station tool as comparison data. The results showed that the average value of the difference between the rapid static coordinates and the TS observations was dN = 0.353 m dE = 0.180 m and dZ = 0.233 m, while the Network RTK and TS coordinates were dN = 0.408 m dE = 0.184 m and dZ = 0.176 m.
Regional Physiographic Study for the Hydrology of Kali Lamong Watershed Area
Authors: Utama Widya , Indriani Rista Fitri 
Published: December 2021

Abstract
This study aims to determine the effect of physiography based on slope and land cover for water control in Kali Lamong watershed. The data used in this research are DEM data and Landsat 8 imagery data. The process of processing slope data is through conversion coordinates system, DEM clip, create slope, reclassify, dissolve shapefile, and slope classification analysis. Landsat 8 data processing goes through a process through conversion coordinates system, composite band, crop composite, extent shapefile, sharpen band, unsupervised classification, and land cover classification analysis. Slope classification maps and land cover classification maps are used for flow coefficient classification for physiographic analysis based on slope and land cover for water control in Kali Lamong watershed. On the land cover classification map, five land classifications were obtained, namely agriculture (158413000 m2), settlements (72701400 m2), industrial land (11571600 m2), plantations (46017800 m2), and waters (15268500 m2). On the slope classification map obtained 5 classifications, as flat with a slope of 0-8% (288469544 m2), as slope with a slope of 8-15% (7656738 m2), as rather steep with a slope of 15-25% (1905360 m2), as steep with a slope of 25-45 (526614 m2), and as very steep with a slope of more than 45% (32148 m2). From the combination of Landsat 8 image data and slope data, flow coefficient analysis was carried out. The flow coefficient is influenced by land cover and slope. From this research, the classification of low flow coefficient is less than 0.25, medium flow coefficient is 0.25-0.5, and high flow coefficient is more than 0.75. The average flow coefficient of Kali Lamong watershed is 0.49 with a moderate flow coefficient classification value. This shows that 49% of the runoff water is in Kali Lamong watershed. The higher the flow coefficient value, the water runs off the surface. So that it can be used as an initial study for the technical planning of Kali Lamong hydrology and the development, improvement, utilization, and control of water flow in Kali Lamong.
Global Geopotential Model Evaluations and Local Geoid in Indonesia: A Review
Authors: Aminah Hamidatul , Anjasmara Ira Mutiara 
Published: December 2021

Abstract
Geoid model was chosen as a vertical reference in Indonesia based on the Head of the Geospatial Information Agency Regulation (Perka BIG) No. 15 of 2013 concerning the Indonesian Geospatial Reference System (SRGI2013). Therefore, the development of local geoid models continues to be carried out to obtain good accuracy. The geoid is formed through three main components: long wave, short wave, and medium wave. One of the longwave components is the global geopotential model obtained from topographic, terrestrial, altimetry, and gravity satellite data. Along with the development of technology and gravity observation methods, the global model has many variations, so it is necessary to determine the global model that is most suitable for the geographical conditions in Indonesia. EGM2008 is often used in local geoid modeling in Indonesia based on research that compares several global models. Still, it does not rule out the possibility of a new global model that is more suitable for Indonesia.
Correlation analysis of Land Surface Temperature (LST) measurement using DJI Mavic Enterprise Dual Thermal and Landsat 8 Satellite Imagery (case study: Surabaya City)
Authors: Darettamarlan R R , Hidayat H , Darminto M R 
Published: December 2021

Abstract
Landsat 8 Satellite Imagery (Landsat Data Continuity Mission, LDCM) is a satellite product made by Orbital Science Corporation, which launched with The Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) instruments as the latest features. One of the Thermal Infrared Sensor (TIRS) instruments is called Band 10, that provide temperature information on the earth’s surface. As many research conduct the temperature comparison between satellite imagery analysis and land cover temperature has been come with positive correlation for both of the variable. As to prove the temperature relationship, it is necessary to validate the actual temperature values on the earth’s surface by conduct the temperature survey in the area using the temperature measurement tools. One of the tools is DJI Mavic Enterprise Dual Thermal camera as the camera that capable to take samples data of particular objects categories that included urban areas, waters, vegetation, open land, settlements, and industrial factories. Using the satellite imagery’s temperature data and the land cover temperature data survey, comparing and accuration assessment are needed to see how close the value of both variable. The data processing carried out that both of the data have a positive correlation as the relationship, which have a Pearson correlation value of 0.892 and sig. (2-tailed) at the number 0.000000068. This correlation value showed that the relationship between both data is acceptable as the both data can represent each other to conduct any research. However, as the satellite imagery contains 29,85% of cloud cover, the temperature obtained lower in the Landsat 8 satellite image rather than the actual temperature on the earth’s surface.