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JGISE-Journal of Geospatial Information Science and Engineering
Published by Universitas Gadjah Mada
ISSN : 26231182     EISSN : 26231182     DOI : https://doi.org/10.22146/jgise.51131
Core Subject : Engineering,
Engineering
JGISE also accepts articles in any geospatial-related subjects using any research methodology that meet the standards established for publication in the journal. The primary, but not exclusive, audiences are academicians, graduate students, practitioners, and others interested in geospatial research.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 95 Documents
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Utilization of Tide Observation and Satellite Altimetry Data for Detecting Land Vertical Movement Maritsa Faridatunnisa
Jurnal Geospasial Indonesia Vol 1, No 2 (2018): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.41411

Abstract

Indonesia is one of the country that often experiences earthquakes and volcanic eruptions because of its position on the meeting point of three active tectonic plates, namely the Eurasian, Indo-Australian and Pacific plates. This causes movement or deformation both horizontally and / or vertically. Current movement monitoring is done using GNSS technology. However, the distribution of monitoring points are not spread evenly and the results of GNSS observation have weaknesses in their vertical components. An alternative method for monitoring movement especially in vertical components is using combination of tide observation and satellite altimetry data. The measurement concept of satellite altimetry produces absolute sea level values and its not affected by plate movements,besides tidal measurements which sensors are installed on the ground so that the sea level values are affected by land uplift or subsidence at that location. This study used main data, namely long-period tidal observation data and GDR (Geophysical Data Record) satellite altimetry. GNSS observation data is needed as a control of vertical movement. The differences in spatial and temporal resolution of tidal observation and satellite altimetry are overcome by two methods, namely the daily and monthly methods. Each of these methods will produce an annual SLR value (Sea Level Rise) from tidal data and satellite altimetry calculated using linear regression. The difference between the tidal and satellite altimetry data trends is compared with the vertical movement value from GNSS data. The results of the study indicate that the determination of vertical movement can be done using tidal observation and satellite altimetry data, especially using the monthly method. The trend of vertical movements of tidal observation and satellite altimetry data shows the same pattern with land vertical movement of GNSS data even though the value is different. Therefore, the method to determine vertical movement from hydrological data can be used as an initial observation on a coastal area regarding the phenomenon of vertical movements that occur in the area.
Geometric Accuracy Study of Orthorectification Based on Sensor Model Refinement in Imagery Subset Using ORFEO Toolbox (OTB) Andri Suprayogi; Nurhadi Bashit
Jurnal Geospasial Indonesia Vol 2, No 1 (2019): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.41453

Abstract

Large scale base map can be obtained by various methods, one of them is orthorectification process of remote sensing satellite imagery to eliminate the relief displacement caused by height variation of earth surface. To obtain a  map images with good quality,  it requires additional data such as sensor model in the form of rational polynomial coefficients (RPC), surface model data, and ground control points Satellite imageries with high resolution  file size are relatively large.  In order to process them,  high specification of hardwares were required. To overcome this by cutting only a portion of the images, based on certain study areas were suffer from of georeference lost so it would not be able to orthorectified. On the other hand,  in several remote sensing software such as ESA SNAP and Orfeo Toolbox (OTB)  subset or pixel extraction from satellite imagery,  preserve the imagery geometric sensor models. This research aimed at geometric accuracy of orthorectification carried out in a single scene of Pleiades Imagery within the Kepahiang Subdistrict, located at Kepahiang Regency, Bengkulu Province, by using DEMNAS and the imagery refined sensor mode, and ground control points taken using GPS Survey. Related with the raw imagery condition which consists of Panchromatic and multispectral bands, this study were separated to assembly, pan sharpening , and sensor model refinement stages prior to orthorectification carried out both in the original or full extent imagery and the result of subset extent imagery. After  these processses taken place, we measure the accuracy of each full and subset imagery.These procedures were carried out using Orfeo toolbox 6.6.0 in the Linux Mint 19 Operating system. From the process log, running time in total  were 7814.518  second for the full extent and 4321.95 seconds for the subset processess. And as a big data process, the total of full extent imageries was 83.15 GB  while the subset size  was  only 30.73 GB.  The relative accuracy of the full extent and its subset imagery were 0.431 meters. Accuracy of the  sensor model refinement process are  1.217 meters and 1.550 meters with GCP added, while the accuracu of  the orthorectifications results were  0.416 meters and 0.751 meters by using ICP.  Variation of execution time may caused by the data input size and complexity of the mathematical process carried out in each stages. Meanwhile,  the variation of accuracy may  caused by the check or control points placements above satellite Imagery which suffer from uncertainty when dealing with  the sub-pixel position or under 0.5 meters.
Development of Spatio-Temporal Database Prototype For Management of 4-Dimensional Cadastre Object In Indonesia Miranty Noor Sulistyawati; Trias Aditya; Purnama Budi Santosa
Jurnal Geospasial Indonesia Vol 1, No 2 (2018): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.41680

Abstract

The dynamics of the Indonesian population has increased causing the need for cadastral objects to increase. 2D and 3D cadastral objects change over time. Cadastral objects have spatial and juridical data changes every day. These changes can be caused by the transfer of rights, changes of rights, split and merging cadastral objects. Changes are recorded and stored as a history of cadastral objects (4-dimensional cadastre). Historical data on cadastral objects can be categorized as one of the big data in the cadastre sector, based on the frequency of recording data. The data can be used to track changes in cadastral objects so that they can avoid disputes. Spatial data in this case is very vulnerable data to cause disputes if the shape, position and size do not match the conditions in the field, and need special attention in integrating with the juridical data. This paper aims to identify methods for storing spatial data of 4D cadastral objects that are suitable for Indonesia. The importance of storing cadastral objects and their history causes researchers and cadastre experts in the world to formulate international standards in managing spatial and juridical data along with a history of cadastral objects (4D cadastre). LADM is an international standard conceptual model (ISO 19152) which can show the legacy of a cadastral object expressed in RRR (Rights, Restriction and Responsibility). In LADM, there is a VersionedObject class that represents various versions or a history of spatial units, object registration, owner and administration. Several studies conducted by researchers in the world were compared in this paper to find methods for applying LADM and VersionedObject classes. That methods were implemented in this paper to design a database of spatio-temporal 4D cadastre. Finally a prototype of spatial-temporal database will be produced to manage 4D cadastral objects.
Study of parcels-based Land Use Planning in Urban areas dan Rural Areas (Case Study of Mantrijeron Sub-district, Yogyakarta City and Bambanglipuro Sub-district, Bantul Regency) Hary Listantyo Prabowo
Jurnal Geospasial Indonesia Vol 2, No 1 (2019): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.41848

Abstract

The Land Use Planning (LUP-Neraca Penatagunaan Tanah/NPGT) is a balance between land availability and the needs of tenure, use and utilization of land according to the Regional Spatial Plan (RTRW) function area. LUP is arranged sectorally and regionally. Examples of sectoral LUP are rice field planning and plantation field planning. While regional LUP is arranged at a certain administrative level. So far LUP has been prepared based on zones/ regions that are adjusted to the RTRW functions area. The LUP at the sub-district administrative level began to be initiated and to be implemented after almost all of district/ city LUPs were implemented. Sub-district LUP was supported by the availability of the Subdistrict Spatial Detail Plan (RDTR) on a 1:5.000 scale which became a reference in the permittance of space utilization, so that the subdistrict LUP was arranged on the same scale. In this paper an assessment of sub-district LUP was made based on the Parcels Map (PBT) that available in the land office. PBT displays land parcels based on land ownership and land tenure. LUP is carried out in urban areas and rural areas. Location of urban areas in Mantrijeron Sub-District, Yogyakarta City, while rural areas in Bambanglipuro Sub-District.The stages of sub-district LUP consist of : data collection/ inventory; processing and analysis of data; and compilation of results and discussion. The data collection/ inventory phase includes activities for preparing work maps and collecting primary data and supporting data. The processing and analysis stage includes data processing on sub-district LUP compilation with GIS application (ArcGIS) and LUP analysis. LUP analysis consists of : analysis of land use changes, analysis of land use suitability and analysis of land availability. The stage of result preparation and discussion includes the preparation of the result of the analysis, a comparison between two regions that were studied, conclusions and recommendations. The result of the parcels-based sub-district LUP shows that land tenure and ownership information is very detailed; the information of land use and utilization in one parcel of land can consist of more than one type. In urban areas, the size of land parcels is relatively small with more varied types of land use and utilization than rural areas. As a note, that the coverage of parcels map in rural areas still needs to be improved because there are still empty areas.
GPS Technology Implementation for Sangihe Islands' Movement Monitoring in 2017-2019 Hilmiyati Ulinnuha; Dwi Lestari; Leni Sophia Heliani; Nurrohmat Widjajanti; Cecep Pratama; Parseno Parseno; Krishna Fitranto Nugroho
Jurnal Geospasial Indonesia Vol 2, No 2 (2019): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.51033

Abstract

Sangihe Islands belong to a complex tectonic area at the subduction of the Eurasian plate and the Philippine Sea. Sangihe subduction zones are complex subduction zone, so that there is a need for continuous movement monitoring. Previous research had been carried out to monitor movement of the Sangihe subduction zone, but no monitoring has been done in 2019. Therefore, this study aims to monitor movement of Sangihe subduction zones with the latest observation data.This study aims to obtain velocity of Sangihe Islands plate movement during 2017 to 2019. Observation was performed using 3 monitoring control points for 7 days in 2019. While observation data from 2017 to 2018 were obtained from previous studies. Observations was carried out using GNSS differential method technology. Loosely constrained of weighted parameter was performed in least square adjustment of GNSS data daily processing, while Kalman Filtering algorithm applied for combining multiyear GNSS data to estimate the velocity refer to ITRF 2014 using GAMIT/GLOBK.This study indicates that Sangihe Islands has horizontal movement to the Southeast with velocity vector of 1 to 2.16 cm/year. This results confirm the previous studies in that area.
Analysis of the Effect of Land Use Planning and Land Value in Gamping Subdistrict, Sleman, D.I Yogyakarta from 2013 to 2018 Tasya Vuji Al-Vatia Vuji Al-Vatia; Prijono Nugroho Djojomartono
Jurnal Geospasial Indonesia Vol 2, No 2 (2019): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.51076

Abstract

ABSTRACT. Government policy is one of the factors that can affect land value in an area. One of the government policies is the determination of land use planning in the Regional Spatial Planning (RTRW) and Detailed Spatial Planning (RDTR) which are arranged by considering suitability, harmony, and balance of cultivation and protection functions, time, technology, socio-cultural and defense security function. This research aims to find out and prove the relationship between the land value and the effect of land use planning on land value in Gamping District, Sleman, D.I Yogyakarta. In this research used land trade transactions in 2013, 2014, 2015, 2016, 2017and 2018 that obtained from the ATR / BPN office of Sleman Regency. These datas are then corrected by adjusting the data type and time correction. The results of the correction are used to form a land value model. Modeling land values was developed by using multiple linear regression analysis with independent variables such as land use planning (RPL), land use (PL), distance to main road (JJU), distance to housing (JPR), distance to downtown (JPK), distance to campus (JKM), field’s wide (LB), distance to the district government center (JPB), and distance to subdistrict government center (JPC). Evaluation model use determination test (R2), t table test and the result of the evaluation model are tested with Coefficient of Variation (COV). From these six years, only in 2013, 2014, 2016 and 2017 land value modeling could be modeled.  From the result of research, it is known that the land use planning effect the land value. But only significantly affected in 2016. This indicates that the land use planning has little effect on land value.
Coseismic Displacement Accumulation Between 1996 and 2019 Using A Global Empirical Law on Indonesia Continuously Operating Reference Station (InaCORS) Cecep Pratama; Febrian Fitryanik Susanta; Ridho Ilahi; Alian Fathira Khomaini; Hadi Wijaya Kusuma Abdillah
Jurnal Geospasial Indonesia Vol 2, No 2 (2019): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.51130

Abstract

Indonesia archipelago is one of the most populated country with active and complex tectonic zone in the world. Plate boundaries were assembled by four major plate which made the region not only vulnerable to earth-hazard but also prone to semi-dynamic reference frame. However, influence of transient deformation such as coseismic displacement due to large amount of small to intermediate earthquakes (< Mw 6) on the geodetic networks is remain poorly understood. Geospatial Information Agency occupied permanent and continuous GPS networks since 1996 but rapidly increase in 2010. Based on simulated empirical law of coseismic crustal deformation, we estimate the cumulative displacement due to coseismic step on Indonesia Continuous Operating Reference Stations (InaCORS). We utilize the position of the observation network and earthquake hypocentral with estimated moment magnitude. Our result suggesting small to intermediate earthquakes are indispensable for estimating secular motion and potentially contribute the cumulative offset associated with the transient postseismic deformation.
Geovisual Analytics of Spatio-Temporal Earthquake Data in Indonesia Febrian Fitryanik Susanta; Cecep Pratama; Trias Aditya; Alian Fathira Khomaini; Hadi Wijaya Kusuma Abdillah
Jurnal Geospasial Indonesia Vol 2, No 2 (2019): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.51131

Abstract

Indonesia is one of the nations located in the Ring of Fire. Indonesia has a high level of geodynamic activities so that it's often earthquake tectonics. The earthquakes are caused by Indonesia position located in the confluence of four main plates. At present, the history of earthquake data in Indonesia has been accessible by the public. However, general visualization which can present history earthquake in the form maps and summary statistics have not been available. Therefore, this research aims to visualize the history of earthquake data interactively combining spatial data and temporal data. The data used for this research was obtained from BMKG website. The data variables used in this research include CORS stations and history of earthquake phenomenons between 2004 and 2019. The earthquake phenomenon consists of occurrence time, coordinate position, depth and magnitude. The data are processed using Ms Excel and ArcGIS Online Map then are visualized by Web AppBuilder for ArcGIS. The results of the data processing are maps presented in a dashboard with time-series animation and widgets features. We performed maps, graphics and time-series animation as interactive visual interfaces and matched the tasks to visual analytics techniques that are capable to support them. In this paper, we introduce the relationship between variables and present the visual analytics techniques using several example scenarios of Spatio-temporal earthquake data.
Suitability Level Analysis of Google Map’s Travel Time and Traffic Density Classification Laksita Amelia Paramesti; Dedi Atunggal
Jurnal Geospasial Indonesia Vol 2, No 2 (2019): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.51134

Abstract

 Traffic congestion is one of problem that occur in big cities, therefore people need traffic information to determine traffic condition. One of many applications that provides traffic information is Google Maps. From the information generated, there are insuitability between google maps’s traffic update and travel time with the actual condition. So the aim of this study is to analyze the suitability level of traffic density classification and google maps travel time. Based on the speed range by Google, the level of suitability can be determined, while the google maps travel time is done by statistical tests. The statistical test used is a statistical test of two parameters using table t with 95% confidence level. The results of this study indicate that the level of suitability of the traffic classification only reaches 35%. The low level of suitability is caused by network latency. While information on google maps travel time does not have a significant difference in actual time.
Analysis of Sangihe Islands Movements derived from Recent GPS Observation Krishna Fitranto Nugroho; Leni Sophia Heliani
Jurnal Geospasial Indonesia Vol 2, No 2 (2019): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.51146

Abstract

Sangihe Islands is one of the districts located in the border region of the Republic of Indonesia precisely located in North Sulawesi Province which borders with the Philippines. Sangihe subduction zone is a subduction between the Sangihe plate and the Maluku sea plate. (Di Leo, et al., 2012). This situation causes the Sangihe Islands region to be very prone to earthquake and others disasters, so mitigation efforts are needed to minimize casualties and losses in other material forms. One of these efforts is mapping the potential of earthquakes through Geodynamic studies which are represented at the point of deformation control. This study is using four times GNSS observations epoch 2015, 2016, 2017 and 2018 tied to ITRF 2014. The data used for 3D deformation analysis with the multiepoch method to calculate the movement speed of the Sangihe plate and simultaneous tectonic plate strain observation. The results of this study are the coordinates and accuracy values of monitoring point also the plate movement speed and annual tectonic plate strain values. The movement speed of the Sangihe plate is SGH1 point is having horizontal deformation of 9.88 mm / year to the southeast and vertical deformation descend by 58.66 mm/year. SGH3 point is having horizontal deformation of 12.74 mm/year to the southeast and vertical deformation descend by 18.51 mm/year. SGH4 point is having horizontal deformation of 19.04 mm/year to the southeast and vertical deformation descend by 5.27 mm/ year. This research also proves the hypothesis of a change in the volume of the Sangihe Islands tectonic plate based on the values of normal strain parameters and shear strain in the fraction of 10-6 to 10-4 strains.

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