Articles
<![CDATA[Pemetaan Orthophoto Untuk Rencana Pembuatan Peta Rawan Longsor ]]>
<![CDATA[Adkha Yulianandha Mabrur]]>;
<![CDATA[Silvester Sari Sai]]>;
<![CDATA[Fransisca Dwi Agustina]]>
<![CDATA[ Jurnal Ilmiah Universitas Batanghari Jambi Vol 22, No 1 (2022): Februari ]]>
Publisher : <![CDATA[Universitas Batanghari Jambi ]]>
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DOI: 10.33087/jiubj.v22i1.1860
<![CDATA[Landslides are one of the natural disasters that often occur in Indonesia. The area can be seen geologically by having a hilly land surface with quite steep soil conditions. Several factors cause landslides such as rainfall, sloping slopes, soil type, and the presence of vibration. One region that is classified as a landslides prone area is Pandansari Village, Ngantang District, Malang Regency. This is because some areas of Malang Regency are hills with quite steep land slopes, erratic rainfall conditions and land used that is not under the type of soil. The process of data sampling and processing is carried out by utilizing photogrammetric mapping and Geographic Information Systems in identifying landslide disasters. The processed data is the result of the photogrammetric mapping, namely orthophoto and DEM which can later be used for the landslide identification process. The results of the research in the first year are in the form of orthophoto which will later be used as data for making landslide-prone maps for the Pandansari Village area, Ngantang District, Malang Regency, and landslide-prone maps by utilizing the required data parameters as supporting data for identifying the level of landslide susceptibility. This study will be useful for the of the Pandansari Villager, Ngantang District, Malang Regency to determine the level of vulnerability from low to very vulnerable class, so people can anticipate landslides.]]>
<![CDATA[Fast and stable direct relative orientation of UAV-based stereo pair ]]>
<![CDATA[Martinus Edwin Tjahjadi]]>;
<![CDATA[Fransisca Dwi Agustina]]>
<![CDATA[ International Journal of Advances in Intelligent Informatics Vol 5, No 1 (2019): March 2019 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/ijain.v5i1.327
<![CDATA[Coplanarity-based relative orientation (RO) is one of the most crucial processes to obtain reliable 3D model and point clouds in Computer Vision and Photogrammetry community. Whilst a classical and rigorous procedure requires very close approximate values of five independent parameters, a direct method needs additional constraints to solve the parameters. This paper proposes a new approach that facilitates a very fast but stable and accurate solution from five point correspondences between two overlapping aerial images taken form unmanned aerial vehicle (UAV) flight. Furthermore, if 3D coordinates of perspective centers are available form geotagged images, rotational elements of the RO parameters can be quickly solved using three correspondences only. So it is very reliable for a provision of closed-form solutions for the rigorous methods. Our formulation regards Thompson’s parameterizations of Euler angles in composing a coplanarity condition. Nonlinear terms are subsequently added into a stereo parallax within a constant term under a linear least squares criteria. This strategy is considered new as compared with the known literatures since the proposed approach can find optimal solution. Results from real datasets confirm that our method produces a fast, stable and reliable linear solution by using at least five correspondences or even only three conjugate points of geotagged image pairs.]]>
<![CDATA[UJI LENDUT DEFORMASI JEMBATAN DENGAN TEKNIK PEMOTRETAN KONVERGEN MENGGUNAKAN TEKNOLOGI DRONE ]]>
<![CDATA[Fransisca Dwi Agustina]]>;
<![CDATA[Martinus Edwin Tjahjadi]]>;
<![CDATA[Muhammad Zhorif Nasri]]>
<![CDATA[ Jurnal Geosaintek Vol 8, No 1 (2022) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j25023659.v8i1.12514
<![CDATA[Pada umumnya objek jembatan merupakan infrastruktur transportasi yang memiliki konstruksi untuk dipantau secara periodik, salah satunya melalui monitoring deformasi. Dengan melihat beberapa teknologi yang berkembang untuk monitoring deformasi, diantaranya teknologi di bidang survei terestris seperti GPS, total station, dan waterpass yang pada dasarnya memiliki kelemahan tersendiri dari segi biaya dan waktu monitoring. Di bidang fotogrametri berkembang teknologi drone drone DJI Phantom 4 Pro yang dapat digunakan untuk monitoring deformasi. Penelitian ini berfokus untuk melakukan pengujian kemampuan pada teknologi drone DJI Phantom 4 Pro untuk pemantauan deformasi jembatan. Studi kasus deformasi berupa uji lendut jembatan dalam kondisi terbebani. Pengujian dilakukan dengan memanfaatkan teknik pemotretan konvergen pada akuisisi foto tanpa beban dan dengan beban. Proses data uji deformasi jembatan menggunakan metode bundle adjustment multi foto. Berdasarkan hasil pengujian teknologi drone untuk deformasi jembatan maka dapat mendeteksi lendutan dan pergeseran ke arah z positif yang relatif kecil (tidak terjadi kerusakan struktur) pada Jembatan Sambong dengan kisaran antara ±0,025 mm - 1,281 mm serta ketelitian antara ±0,181 mm - 0,773 mm. Berdasarkan tingkat ketelitian pergeseran tersebut, maka teknologi drone DJI Phantom 4 Pro mampu mendeteksi lendutan pada konstruksi jembatan hingga di bawah 1 mm.]]>
<![CDATA[Focal Length Lens Effect at Non-Metric Camera for Three-Dimensional Models Result ]]>
<![CDATA[Nur Alfan Wisnu Hardiatmojo]]>;
<![CDATA[Martinus Edwin Tjahjadi]]>;
<![CDATA[Fransisca Dwi Agustina]]>
<![CDATA[ Journal of Applied Geospatial Information Vol 6 No 1 (2022): Journal of Applied Geospatial Information (JAGI) ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jagi.v6i1.3564
<![CDATA[Selections of non-metric cameras can be calculated properly starting from choosing the right camera sensor size and lens focal length to get better results. Differences in the choice of focal length in shooting can affect the resulting photo. The resulting photo may differ from how much of the object is captured and may suffer distortion due to different selections of the focal length. The purpose of this study is to show the magnitude of the effect of focal length variation in making a three-dimensional model based on the comparison of the results of the three-dimensional model visualization, the comparison of the results of geometric accuracy based on the independent checkpoint coordinate data, and the comparison of the distance results between retro targets. The results of this study indicate that a focal length of 70 mm has better results with the formation of the object completely resembling its original object compared to a focal length of 28 mm which is not good at forming a safety pillar on the bridge. The results of the RMSE value based on ICP coordinate data at a focal length of 70 mm are better with a value of 0.083 m compared to a focal length of 28 mm with a large value of 0.123 m. The results of the RMSE value based on the distance between retro targets at a focal length of 70 mm are better with a value of 0.003 m compared to a focal length of 28 mm with a large value of 0.004 m.]]>
<![CDATA[Analisis Deformasi Jembatan Akibat Banjir Bandang Berbasis Fotogrametri Jarak Dekat ]]>
<![CDATA[Larasaty Ayu Parsamardhani]]>;
<![CDATA[Martinus Edwin Tjahjadi]]>;
<![CDATA[Fransisca Dwi Agustina]]>
<![CDATA[ Jambura Geoscience Review Vol 4, No 1 (2022): Jambura Geoscience Review (JGEOSREV) ]]>
Publisher : <![CDATA[Universitas Negeri Gorontalo ]]>
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DOI: 10.34312/jgeosrev.v4i1.12013
<![CDATA[Monitoring the deformation of objects in the natural disaster area is one of the anticipative steps to reduce losses. In this case, this is an attempt to implement mitigation for the safety and viability of the community. Until this time, many constraint factors in the process of obtaining information regarding the strength of the structure and the changes of shape and dimension (per time unit) of the objects, one of which is the high operational cost and the duration of data processing while using a conventional measuring instrument. Through this article, a fast, cheap, easy, and accurate alternative method to detect deformation of the bridge material structure due to flash flood is only by using a Digital Single Lens Reflex (DSLR) camera. The bridge’s structures were photographed and processed with proprietary software to obtain the retro-reflective coordinate of the target that has been evenly attached to the bridge surface as a reference point. From a series of periodic photoshoots conducted from July 2020 to July 2021, deformation of the bridge structure was successfully detected with a magnitude between 0.026 mm – 5.867 mm with a measurement accuracy level was 0.081 mm. With this measurement accuracy level, this system is able to detect the deformation of structures smaller than 0.1 mm, and even invisible deformation can still be detected. This article will explain the technique and methodology of deformation measurement quickly and accurately only with a DSLR camera.]]>
<![CDATA[Kajian Perbandingan Akurasi DTM Pengolahan Data Foto Udara Menggunakan Metode Otomatis Dan Semi-Otomatis Filtering ]]>
<![CDATA[Raynier Geraldino Dadu Kerong]]>;
<![CDATA[Martinus Edwin Tjahjadi]]>;
<![CDATA[Fransisca Dwi Agustina]]>
<![CDATA[ Jambura Geoscience Review Vol 4, No 1 (2022): Jambura Geoscience Review (JGEOSREV) ]]>
Publisher : <![CDATA[Universitas Negeri Gorontalo ]]>
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DOI: 10.34312/jgeosrev.v4i1.12046
<![CDATA[Advances in UAV technology produce various superior products that can be utilized for the development and analysis of natural dynamics. One of them is DTM which is a visual representation of the shape of the ground surface that is displayed in 3 dimensions. DTM is obtained from the results of DSM filtering, where all features above the ground are digitally removed using a certain method. To produce a good DTM, a good quality DSM is needed, therefore a Horizontal and Vertical accuracy analysis was carried out based on ASPRS 2015. In this study, two software with different data processing methods were used, namely automatic filtering and semi-automatic filtering from DSM to DTM. To determine the quality of DTM, spot-height data is used as a comparison which is considered to be the actual form in the field. From the series of data processing processes, DTM results were obtained which were then tested for accuracy utilizing statistical validation tests using the calculation of RMSEZ values and non-statistical validation tests (Visual) using the transverse profile method. The test results show that the DTM produced by the PCI Geomatica software with the semi-automatic filtering method has more accurate and precise quality than the DTM from the SAGA GIS software with the automatic filtering method with an elevation value of 1,249 m and RMSEz 3,542 m to the spot-height. Then the visualization of the DTM transverse profile produced by the PCI Geomatica software semi-automatic filtering method to the spot height also does not appear to experience a significant difference where the elevation at Point 1 is 0.5 m and Point 2 is 0.5 m.]]>
<![CDATA[EVALUASI UJI PERBANDINGAN KETELITIAN PADA ORTOFOTO BERDASARKAN STANDAR ASPRS ]]>
<![CDATA[FRANSISCA DWI AGUSTINA]]>
<![CDATA[ Elipsoida : Jurnal Geodesi dan Geomatika Vol 4, No 01 (2021): Volume 04 Issue 01 Year 2021 ]]>
Publisher : <![CDATA[Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia ]]>
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DOI: 10.14710/elipsoida.2021.11015
<![CDATA[Pemetaan dengan pemotretan foto udara pada umumnya menghasilkan ketelitian yang cukup akurat. Pemotretan foto udara tersebut menghasilkan sumber data berupa ortofoto. Ortofoto yang masih belum melalui proses rektifikasi yaitu sebuah metadata dalam bidang proyeksi perspektif dan masih dipengaruhi oleh pergeseran relief, distorsi lensa, dan kemiringan kamera. Proses pengolahan ortofoto dapat dilakukan dengan berbagai macam software pendukung guna untuk melakukan proses rektifikasi. Dari berbagai macam software pengolahan ortofoto memiliki ketelitian yang berbagai macam pula, terutama hasil produk dari ortofoto. Ortofoto digital diperoleh melalui digital yaitu dengan menggunakan software, yang mana di awali dengan melakukan koreksi ketinggian Digital Elevation Model (DEM). Kualitas ortofoto dapat ditentukan dengan menggunakan kontrol kualitas yaitu melakukan uji ketelitian geometrik.Pada penelitian ini dilakukan proses untuk menghasilkan ortofoto dengan menggunakan software Agisoft Metashape dan Pix4d Mapper. Data yang diolah yaitu metadata foto udara dan hasil pengukuran titik GCP menggunakan Pengukuran GPS Geodetic. Penelitian ini bertujuan untuk mengevaluasi ketelitian geometrik pada ortofoto menggunakan dua software yang berbeda. Ketelitian geometri dihasilkan oleh nilai residu error ICP terhadap geometri ortofoto yang terbentuk pada pemrosesan foto udara menggunakan software Agisoft Metashape dan Pix4d Mapper.Hasil perhitungan ketelitian geometrik merujuk pada ketelitian standar ASPRS. Evaluasi terhadap uji perbandingan ketelitian software Agisoft Metashape memiliki nilai RMSEr : 0.056310298m dan untuk tingkat kepercayaan 95% maka RMSEr x 1.7308 : 0.097462 m. Hasil ketelitian software Pix4d Mapper memiliki nilai RMSEr : 0.063017 m dan untuk tingkat kepercayaan 95% maka RMSEr x 1.7308 : 0.109071m.Pada software Agisoft Metashape menunjukkan bahwa hasil pengolahan ortofoto tergolong kategori class III dengan skala 1 : 200, dan software Pix4dMapper hasil pengolahan ortofoto tergolong kategori class III dengan skala 1 : 250. Maka dapat disimpulkan menurut hasil evaluasi terhadap hasil uji ketelitian data ortofoto menurut standar ASPRS menunjukkan bahwa software Agisoft Metashape memiliki nilai keakurasian yang lebih baik daripada software Pix4dMapper. Kata Kunci : Ortofoto, ASPRS, Agisoft Metashape, Pix4dMapper]]>
<![CDATA[Penggunaan DTM Presisi dari Fotogrametri UAV untuk Analisa Bencana Longsor Menggunakan Sistem Informasi Geografis ]]>
<![CDATA[Vikanisa Rahmadany]]>;
<![CDATA[Martinus Edwin Tjahjadi]]>;
<![CDATA[Fransisca Dwi Agustina]]>
<![CDATA[ Jambura Geoscience Review Vol 4, No 2 (2022): Jambura Geoscience Review (JGEOSREV) ]]>
Publisher : <![CDATA[Universitas Negeri Gorontalo ]]>
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DOI: 10.34312/jgeosrev.v4i2.12908
<![CDATA[The morphologies of the Pandansari Village (Ngantang District, Malang Regency, Indonesia) are vulnerable to landslide disasters that may damage human properties, infrastructures, and even fatalities. Landslide disaster mitigation can be carried out by conducting disaster-prone mapping utilizing Unmanned Aerial Vehicle (UAV) photogrammetry along with geographic information systems (GIS) to produce precise Digital Elevation Model/Digital Terrain Model (DEM/DTM). The purpose of this study is to analyze areas prone to landslides using precision DTM data from UAV technology integrated with geospatial data. DEM is widely used for disaster mapping applications in the form of DTM, representing the ground surface. DTM can be generated from UAV images with photogrammetric processing and additional procedures for removing non-ground objects. This study utilizes PCI Geomatics software to remove vegetation and human-made objects off the ground surfaces semi-automatically. The evaluation revealed that LE 90% of the DTM has only deviated at approximately 0.81 m. This value follows the introductory map geometric accuracy provisions according to BIG No.15 of 2014 for a scale of 1:2500 in class 2. The landslide hazard map classifications using the landslide estimation Puslittanak are dominated by a high classification landslide hazard level with an area of 20.1 ha (48%). In addition, the validation of the landslide-prone map using the accuracy assessment method obtained a percentage of 83%.]]>
<![CDATA[Desain dan Implementasi Website Profil Sekolah Paud Nurul Hikmah Kabupaten Pamekasan ]]>
<![CDATA[Deddy Rudhistiar]]>;
<![CDATA[Reiny Ditta Myrtanti]]>;
<![CDATA[Fransisca Dwi Agustina]]>
<![CDATA[ JUPITER (JURNAL PENDIDIKAN TEKNIK ELEKTRO) Vol 7, No 2 (2022) ]]>
Publisher : <![CDATA[UNIVERSITAS PGRI MADIUN ]]>
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DOI: 10.25273/jupiter.v7i2.14029
<![CDATA[Masyarakat kini semakin mudah mendapatkan informasi yang diinginkan melalui berbagai media komunikasi dan salah satunya adalah website yang merupakan teknologi dengan perkembangan sangat pesat. Hadirnya website memudahkan masyarakat untuk mendapatkan informasi, pelayanan dan komunikasi secara langsung melalui media visual yang dapat diakses secara online. Saat ini PAUD Nurul Hikmah belum memiliki website sebagai profil sekolah, sehingga hal ini menjadi permasalahan bagi pihak sekolah dalam menyampaikan dan membagikan informasi yang terkait dengan profil sekolah beserta aktivitas lainnya kepada masyarakat di Pamekasan dan sekitarnya. PAUD Nurul Hikmah merupakan salah satu pusat pendidikan dan keagamaan yang berada di Kabupaten Pamekasan. Adapun salah satu solusi dari permasalahan tersebut adalah dengan membantu menyebarkan informasi kepada lingkungan sekitar melalui pembuatan website profil sekolah. Website dibangun menggunakan teknologi Model View Controller (MVC) dengan framework Codeigniter, kemudian dilakukan pelatihan dan pendampingan pengoperasian website profil. Pelatihan dan pendampingan penggunaan website tersebut dilakukan untuk meningkatkan kemampuan dan ketrampilan guru sekolah dalam mengoperasikan website profil sekolah. Penggunaan teknologi informasi dalam bentuk digital / elektronik akan sangat bermanfaat dan lebih efektif untuk menyampaikan informasi kepada masyarakat mengenai profil sekolah sesuai dengan kebutuhan dan keinginan pengguna.]]>
<![CDATA[Pembuatan Peta 3D Urban Model Untuk Visualisasi Dampak Banjir ]]>
<![CDATA[Adkha Yulianandha Mabrur]]>;
<![CDATA[Feny Arafah]]>;
<![CDATA[Fransisca Dwi Agustina]]>;
<![CDATA[Lalu Teguh Suganda]]>
<![CDATA[ Faktor Exacta Vol 15, No 4 (2022) ]]>
Publisher : <![CDATA[LPPM ]]>
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DOI: 10.30998/faktorexacta.v15i4.11419
<![CDATA[3D modeling is a process to create 3D objects that you want to put in a visual form. A 3D model is a mathematical representation of any three-dimensional object (either inanimate or living). A model is technically graphical until it is visually displayed. Because 3D models are not limited to virtual space. A model can be displayed visually as a two-dimensional image through a process called 3D rendering, or used in non-graphical computer simulations and calculations. In this case, the geographic information system can present a form of modeling of a hydrological phenomenon such as flooding in an area. This study aims to analyze the flood and visualize it in the form of three-dimensional modeling to see the impact of a flood threat due to the Jelateng river’s overflow. This study emphasizes information related to the impact caused by the overflow of the Jelateng river. Making a 3D urban map model will be used as a representation of the appearance of the Jelateng river area and then it will be visualized using DEMNAS data on the arcscene with the animation manager so that the visualization can be seen according to the scenario that will be carried out. The results of the research will be published in a journal so that it can be a reference for some users who want to know related information from the research results]]>
