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All Journal Indonesian Journal of Geography Journal of Degraded and Mining Lands Management Forum Geografi Journal of Geoscience, Engineering, Environment, and Technology Jurnal Tekno Global
Perdana, Redho Surya
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science Physics

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Comparative Assessment on the Use of Videogrammetry and Photogrammetry for Rapid and Low-Cost Three-Dimensional Modeling Nuha, Muhammad Ulin; Pramudya, Alif Farhan; Laia, Bonifasius Efraim; Husain, Rainaldy; Setiaji, Danang; Isnaini, Een Lujainatul; Perdana, Redho Surya; Atmojo, Aulia Try; Jatmiko, Retnadi Heru
Indonesian Journal of Geography Vol 56, No 3 (2024): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.87960

Abstract

The current activities in photogrammetry technology such as the permission to apply non-metric cameras, development of Structure from Motion (SfM), and potential usage of videogrammetry are part of the answers to the need for low-cost camera-based mapping. Therefore, this study aimed to test and compare the accuracy of photogrammetry and videogrammetry methods for three-dimensional (3D) modeling obtained using a non-metric camera with SfM processing. Terrestrial Laser Scanner (TLS) was used to obtain comparative data and the results showed a degradation of photo resolution in videogrammetry method, causing a reduction in the number of point clouds produced compared to photogrammetry. Moreover, the point cloud test showed that the surface variation results for both methods were identical to 3D modeling with a higher point density recorded in photogrammetry and the relative distance was different by 0.125 meters. The average difference in point cloud between photogrammetry and TLS was 0.062 meters while videogrammetry and TLS had 0.106 meters. The absolute test produced an RMSE value of 0.022 meters for photogrammetry and 0.032 meters for videogrammetry at a 95% confidence interval, indicating the two methods produced similar data quality. The results led to the conclusion that videogrammetry had satisfactory values and could be used as an alternative in 3D modeling but was not considered better than photogrammetry. Received: 2023-08-13 Revised: 2024-05-27   Accepted: 2024-09-20 Published: 2024-10-10
Analysis Of Presumed Land Subsidence In The Cities Of Lampung Province Using InSAR And GNSS Data Alif, Satrio Muhammad; Anggara, Ongky; Perdana, Redho Surya; Hasannah, Uswatun; Azizah, Fadhillah Nur
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 3 (2024): JGEET Vol 09 No 03 : September (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.3.14096

Abstract

Land subsidence is a naturally occurring phenomenon that has become a growing concern in various regions, including Lampung Province. In this study, we investigate land subsidence in various cities within Lampung Province, Indonesia, utilizing Sentinel-1A using Sentinel-1A satellite image data from the period 2014 to 2022. The cities of Lampung Province analyzed in this study were Liwa, Kota Agung, Kalianda, Sukadana, Bandar Lampung and Krui. The method used is Interferometric Synthetic Aperture Radar (InSAR) with the Small Baseline Area Subset (SBAS) technique. Furthermore, to validate and improve the accuracy of land subsidence measurements, the Global Navigation Satellite System (GNSS) velocities were utilized. The land subsidence result obtained in this study is presumed land subsidence. The cities that experienced land subsidence was Kalianda, Sukadana, Bandar Lampung and Krui ranging from ~3 mm/yr to ~15 mm/yr. Meanwhile, the areas that experienced an uplift were the Liwa and Kota Agung cities.
Assessing land subsidence from anthropogenic activity in Northern Sumatra, Indonesia revealed using SAR interferometry Perdana, Redho Surya; Anggara, Ongky; Suhadha, Argo Galih; Pangestika, Dita Mulia; Atmojo, Aulia Try; Al Attar, Muhammad Nabil; Sonya, Putri; Alif, Satrio Muhammad
Journal of Degraded and Mining Lands Management Vol. 12 No. 2 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.122.7235

Abstract

Land subsidence is a significant issue in urban areas globally, including several cities with a growing population in Northern Sumatra, Indonesia. This study employs Sentinel-1 SAR data and the Small Baseline Subset (SBAS) InSAR technique to monitor land subsidence in Medan, Deli Serdang, Dumai, North Aceh, and Lhokseumawe from 2015 to 2023. The SBAS algorithm was implemented in LiCSBAS with an unwrapped interferogram. Then corrected for atmospheric effects using GACOS, was employed to increase the results of the land subsidence. The analysis was enhanced using GRACE satellite data to assess the impact of groundwater depletion on subsidence. Results indicate significant subsidence across all study regions, particularly in Medan and Dumai, with rates ranging from -48.6 mm/year to +54.1 mm/year. The findings highlight the critical role of rapid urbanization, excessive groundwater extraction, and oil and gas exploration in driving subsidence. This study underscores the need for sustainable urban planning and aquifer management to mitigate future environmental and infrastructural risks.
Monitoring Biochemical Oxygen Demand (BOD) Changes During a Massive Fish Kill Using Multitemporal Landsat-8 Satellite Images in Maninjau Lake, Indonesia Rohman, Arif; Fauzi, Adam Irwansyah; Ardani, Nesya Hafiza; Nuha, Muhammad Ulin; Perdana, Redho Surya; Nurtyawan, Rian; Lotfata, Aynaz
Forum Geografi Vol 37, No 1 (2023): July 2023
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v37i1.21307

Abstract

Maninjau Lake is one of Indonesia's lakes for hydroelectric power plants, tourism, and fish farming activities. Some activities around the lake cause pollution, leading to massive fish kill. Therefore, it is necessary to monitor water quality regularly. One of the critical water quality parameters is biochemical oxygen demand (BOD). This study aimed to analyze BOD changes using a remote sensing approach during massive fish kills in Maninjau Lake, Indonesia. Multi-temporal Landsat-8 satellite images are processed to estimate the BOD level based on Wang Algorithm. After that, the estimated BOD value is validated using in situ data measurement. The results of the average BOD concentration that occurred in Lake Maninjau was 1.85 mg/L and showed that R2 was 0.8334, and the standard error was 0.076 between the estimated BOD and in situ data. Furthermore, the average concentration of BOD obtained on 23rd August 2017, 13th December 2017, 30th January 2018, 19th March 2018, and 7th July 2018 are 4.96 mg/L, 4.82 mg/L, 5.31 mg/L, 6.94 mg/L, and 6.60 mg/L, respectively. Increased BOD concentration in January 2018 indicates moderate pollution in the waters. BOD concentration increases after the massive fish kill due to the decaying fish across the lake.
Pemodelan Potensi Banjir Pasang Air Laut di Kecamatan Teluk Betung Timur, Kota Bandar Lampung Perdana, Redho Surya; Selvia Purba Tanjung; Aulia Try Atmojo; Tri Kies Welly; Akbar Wahyu Nugraha
Jurnal Tekno Global Vol. 14 No. 02
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jtg.v14i02.5977

Abstract

ABSTRACT The coastal area of Teluk Betung Timur, Bandar Lampung City, is a low-lying region highly vulnerable to tidal flooding (rob) caused by a combination of land subsidence and sea level rise. This study aims to model the potential tidal flood risk for the period 2023–2028 using a Geographic Information System (GIS) approach. The datasets include tidal observations from BMKG, sea level rise data derived from satellite altimetry, land subsidence data from continuous GNSS and InSAR monitoring, and DEMNAS from BIG. The modeling process involved tidal harmonic analysis, calculation of the Highest High Water Level (HHWL), and the application of raster calculator to generate inundation maps. The results indicate that in 2023 the inundated area covered 33,479 hectares, which significantly increased to 124,797 hectares by 2028. Sukamaju, Kota Karang, and Keteguhan sub-districts were identified as the most affected areas. Field validation yielded an overall accuracy of 90.14% with a kappa index of 0.80, demonstrating a high level of agreement between the model and actual conditions. These findings highlight the importance of spatial modeling as a basis for coastal mitigation strategies and adaptation planning against future tidal flood hazards.  Keywords : Tidal Flooding, Spatial Modelling, Teluk Betung Timur, Bandar Lampung   ABSTRAK  Wilayah pesisir Teluk Betung Timur, Kota Bandar Lampung, merupakan kawasan datar yang rentan terhadap banjir pasang air laut (rob) akibat kombinasi penurunan muka tanah dan kenaikan muka laut. Penelitian ini bertujuan untuk memodelkan potensi banjir rob periode 2023–2028 dengan menggunakan pendekatan sistem informasi geografis (SIG). Data yang digunakan meliputi pasang surut dari BMKG, kenaikan muka laut dari hasil altimetri satelit, data penurunan muka tanah dari pengamatan GNSS dan InSAR, serta data DEMNAS dari BIG. Pemodelan dilakukan melalui analisis harmonik pasang surut, perhitungan elevasi muka air laut tertinggi (Highest High Water Level/HHWL), serta penerapan kalkulator raster untuk menghasilkan peta genangan. Hasil penelitian menunjukkan bahwa pada tahun 2023 luas genangan mencapai 33,479 hektar dan meningkat signifikan menjadi 124,797 hektar pada tahun 2028. Kelurahan Sukamaju, Kota Karang, dan Keteguhan teridentifikasi sebagai wilayah paling terdampak. Validasi lapangan menghasilkan tingkat akurasi 90,14% dengan indeks kappa 0,80 yang menunjukkan kesesuaian tinggi antara model dan kondisi aktual. Temuan ini menegaskan pentingnya pemodelan spasial sebagai dasar mitigasi dan perencanaan adaptasi wilayah pesisir terhadap ancaman banjir rob di masa mendatang. Kata Kunci : Banjir Pasang Air Laut, Pemodelan Spasial, Teluk Betung Timur, Bandar Lampung
Co-Authors Akbar Wahyu Nugraha Al Attar, Muhammad Nabil Ardani, Nesya Hafiza Arif Rohman Atmojo, Aulia Try Aulia Try Atmojo Azizah, Fadhillah Nur Fauzi, Adam Irwansyah Husain, Rainaldy Isnaini, Een Lujainatul Laia, Bonifasius Efraim Lotfata, Aynaz MUHAMMAD ULIN NUHA Ongky Anggara Pangestika, Dita Mulia Pramudya, Alif Farhan Retnadi Heru Jatmiko Rian Nurtyawan Satrio Muhammad Alif Selvia Purba Tanjung Setiaji, Danang Sonya, Putri Suhadha, Argo Galih Tri Kies Welly