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All Journal Journal of Aceh Physics Society JGISE-Journal of Geospatial Information Science and Engineering
Febrian Fitryanik Susanta
Departemen Geodesi, Fakultas Teknik, Universitas Gadjah Mada
Engineering Physics

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Comparison of Accuracy Aerial Photography UAV (Unmanned Aerial Vehicle) and GNSS (Global Navigation Satelitte System) for Mapping of Lambarih Village, Aceh Besar, Aceh Marwan Marwan; Freddy Sapta Wirandha; Nizzamuddin Nizzamuddin; Febrian Fitryanik Susanta
Journal of Aceh Physics Society Volume 9, Number 3, September 2020
Publisher : PSI-Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jacps.v9i3.17151

Abstract

UAV (Unmaned Aerial Vehicle) atau yang biasa disebut drone saat ini telah banyak digunakan untuk pemetaan wilayah di Indonesia. Salah satu metode penentuan posisi satelit GNSS (Global Navigation Satelitte System) yaitu dengan metode statik. Penelitian ini mengkaji perbadingan ketelitian foto udara UAV dan foto udara UAV yang telah diikatkan dengan GNSS. Tahapan awal dalam penelitian ini adalah dilakukan pengambilan foto udara UAV wilayah Gampong Lambarih, kemudian dilakukan pengambilan data GNSS di lapangan sebanyak 4 titik di kawasan Gampong Lambarih, Aceh Besar dengan menggunakan titik kontrol atau titik ikat stasiun CBDA dengan doy 040 di Jantho. Tiap titik pengamatan dilakukan selama 30 menit dengan interval waktu pengukuran 1 detik. Pengolahan data UAV menggunakan aplikasi Agisoft dan pengolahan data GNSS menggunakan aplikasi HiTarget Geomatic Office (HGO) dan Website BIG. Hasil penelitian menunjukkan foto udara UAV yang diikat dengan GNSS memiliki ketelitian yang lebih tinggi yaitu mecapai ketelitian orde mm. UAV (Unmaned Aerial Vehicle) or what is commonly called a drone is currently widely used for regional mapping in Indonesia. One method of determining the position of the GNSS (Global Navigation Satelitte System) satellite is the static method. This study examines the comparison of the accuracy of UAV aerial photographs and UAV aerial photographs that have been tied to GNSS. The initial stage in this research was to take aerial photographs of the UAV of the Lambarih Village area. Then the GNSS data collection was carried out in the field as many as 4 points in the Gampong Lambarih area, Aceh Besar using the control point or tie point of the CBDA station with doy 040 in Jantho. Each observation point was carried out for 30 minutes with a measurement time interval of 1 second. UAV data processing uses the Agisoft application and GNSS data processing using the HiTarget Geomatic Office (HGO) application and the BIG Website. The results showed that aerial photographs of UAVs bound with GNSS had a higher accuracy reaching in order of mm. Keywords: GNSS, UAV, Statik, BIG, HGO
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.
Co-Authors Alian Fathira Khomaini Alian Fathira Khomaini Cecep Pratama Freddy Sapta Wirandha Hadi Wijaya Kusuma Abdillah Hadi Wijaya Kusuma Abdillah Marwan Abu Bakar Nizzamuddin Nizzamuddin Pratama, Cecep Ridho Ilahi Trias Aditya