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All Journal Indonesian Journal of Geography CIVED (Journal of Civil Engineering and Vocational Education) Tunas Geografi Jurnal Teknosains Majalah Geografi Indonesia Journal of Applied Geospatial Information Jurnal Sains & Teknologi Modifikasi Cuaca JURNAL ILMIAH GEOMATIKA MAJALAH ILMIAH GLOBE International Journal of Remote Sensing and Earth Sciences (IJReSES) Buletin GAW Bariri ( BGB) Journal of Sciencce Technology and Visual Culture Inovasi Gagasan Abdimas & Kuliah Kerja Nyata
Retnadi Heru Jatmiko
Fakultas Geografi, Universitas Gadjah Mada, Yogyakarta
Agriculture, Biological Sciences & Forestry Arts Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Other

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PEMANFAATAN FOTO UDARA FORMAT KECIL UNTUK PEMETAAN BIDANG TANAH DI SUB DAS BOMPON Trida Ridho Fariz; Retnadi Heru Jatmiko; Estuning Tyas Wulan Mei; Ardhi Arnanto; Ramlah Ramlah; Muhammad Fauzan Ramadhan
Tunas Geografi Vol 9, No 1 (2020): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v9i1.18058

Abstract

 Remote sensing technology such as small format aerial photography (SFAP) from unmanned aerial vehicle (UAV) or drone can be a solution in accelerating the land parcel mapping in Indonesia. This study aims to determine the level of geometric and planimetric accuracy of SFAP data output in land parcel mapping and describe the step of data processing. The results showed that in land parcel mapping, the main SFAP output data is orthophoto. Therefore, the processing should not need to do the dense cloud process, the orthophoto build process can use DEM from sparse cloud for time efficiency and reduce the relief displacement effect. The orthophoto geometry accuracy is CE90 of 0.44, so it is very well used for mapping 1: 2500 scale, while DSM has a LE90 value of 2.80. Planimetry accuracy of the land parcel distance has met the tolerance standard, while planimetry accuracy of the land parcel area there is 1 parcel that does not meet the tolerance standard. However, in general, SFAP can be used as a basis for land parcel mapping in slightly hilly areas such as Bompon watershed.Keywords:     Small format aerial photo, land parcel, geometric accuracy, planimetric accuracy Teknologi penginderaan jauh seperti foto udara format kecil (FUFK) dari pesawat nir awak bisa menjadi solusi dalam percepatan pemetaan bidang tanah di Indonesia. Penelitian ini bertujuan untuk mengetahui tingkat ketelitian geometrik dan planimetrik data keluaran FUFK dalam pemetaan bidang tanah serta mendeskripsikan tahapan-tahapan pengolahan datanya. Hasil penelitian menunujukkan bahwa dalam pemetaan bidang tanah, data keluaran FUFK yang utama adalah ortofoto. Oleh karena itu sebaiknya proses pengolahan tidak perlu melakukan proses dense cloud, proses build orthophoto bisa menggunakan DEM dari sparse cloud untuk efisiensi waktu serta mengurangi efek relief displacement. Ketelitian geometri ortofoto yaitu CE90 sebesar 0,44, sehingga sangat baik digunakan untuk pemetaan skala 1:2500, sedangkan DSM memiliki nilai LE90 sebesar 2,80. Ketelitian planimetrik terhadap jarak bidang tanah telah memenuhi standar toleransi, sedangkan ketelitian planimetrik terhadap luas bidang tanah terdapat 1 bidang yang tidak memenuhi standar toleransi. Walaupun begitu, secara umum FUFK bisa digunakan sebagai dasar pemetaan bidang tanah di wilayah yang sedikit berbukit seperti Sub DAS Bompon.Kata Kunci:  Foto udara format kecil, bidang tanah, ketelitian geometrik, ketelitian planimetrik.
Inundation Model Using UAV-derived Digital Elevation Data and PCRaster Dynamic Model in An Excessive Rainfall Event Dwi Setyo Aji; Warsini Handayani; Retnadi Heru Jatmiko; Agung Kurniawan
Journal of Applied Geospatial Information Vol 2 No 2 (2018): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5.267 KB) | DOI: 10.30871/jagi.v2i2.1019

Abstract

Extreme weather reportedly occurred on 28th November 2017 caused by a cyclone called Cempaka. Categorized as extreme weather since this event triggered an excessive rainfall reaching 246.8 mm in a 24-hour. Consequently, some areas in Yogyakarta Special Region are inundated. This research attempts to model the inundation of excessive rainfall using GIS software, PCRaster. The study area is concentrated in Selopamioro and Sriharjo, where Opak and Oyo rivers meet. Elevation model and rainfall data are used as the principal data to model the inundation. Elevation model is derived from the Unmanned Aerial Vehicle (UAV) image, while, the rainfall data of a-24-hour hourly data from the Meteorological Agency is also used as an input. The elevation model works as a flow direction model and the rainfall amount plays as the flowing material. The original states of water of the river are not considered, thus the study merely describes how the certain amount of rainfall adds to the level height of terrain and modeled for 24 hours. The result maps are the area that experience of a-24-hour high intensity of rainfall. The study depicts the additional water level caused by rainfall and the concentration of excessive rainfall in the study area. This information is beneficial in order to alarm a similar future event.
ESTIMATION OF ABOVEGROUND CARBON STOCK USING SAR SENTINEL-1 IMAGERY IN SAMARINDA CITY Dewanto, Bayu Elwanto Bagus; Jatmiko, Retnadi Heru
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 18, No 1 (2021)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3609

Abstract

Estimation of aboveground carbon stock on stands vegetation, especially in green open space, has become an urgent issue in the effort to calculate, monitor, manage, and evaluate carbon stocks, especially in a massive urban area such as Samarinda City, Kalimantan Timur Province, Indonesia. The use of Sentinel-1 imagery was maximised to accommodate the weaknesses in its optical imagery, and combined with its ability to produce cloud-free imagery and minimal atmospheric influence. The study aims to test the accuracy of the estimated model of above-ground carbon stocks, to ascertain the total carbon stock, and to map the spatial distribution of carbon stocks on stands vegetation in Samarinda City. The methods used included empirical modelling of carbon stocks and statistical analysis comparing backscatter values and actual carbon stocks in the field using VV and VH polarisation. Model accuracy tests were performed using the standard error of estimate in independent accuracy test samples. The results show that Samarinda Utara subdistrict had the highest carbon stock of 3,765,255.9 tons in the VH exponential model. Total carbon stocks in the exponential VH models were 6,489,478.1 tons, with the highest maximum accuracy of 87.6 %, and an estimated error of 0.57 tons/pixel.
Perbandingan Indeks Lahan Terbangun NDBI dan Land Surface Temperature Dalam Memetakan Kepadatan Bangunan di Kota Medan Andi Syahputra; Retnadi Heru Jatmiko; Dyah Rahmawati Hizbaron; Trida Ridho Fariz
Journal of Science, Technology, and Visual Culture Vol 1 No 1 (2021): Juli 2021
Publisher : Jurusan Teknologi Produksi dan Industri, Institut Teknologi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Suhu permukaan lahan (LST) di suatu daerah dipengaruhi oleh kondisi kerapatan vegetasi, kerapatan bangunan, dan jumlah penduduk yang bermukim di daerah tersebut. Medan adalah salah satu kota terbesar di Indonesia dengan tingkat perubahan lahan bervegetasi menjadi lahan terbangun yang tinggi. Penelitian ini bertujuan untuk mengidentifikasi hubungan persentasi kepadatan bangunan dengan suhu permukaan lahan di Kota Medan. Metode pendekatan pixel image analisis dilakukan untuk mendapatkan nilai kerapatan bangunan pada pixel image citra Landsat 8 dengan bantuan citra satelit WorldView-2. Hasil menunjukan suhu permukaan lahan tertinggi pada tahun 2018 sebesar 35, 40C ditemukan di Kecamatan Medan Perjuangan dan terendah sebesar 22,50C di Kecamatan Medan Belawan. Sample kerapatan bangunan dengan tingkat kepadatan sebesar 889,17m juga terdapat di Kecamatan Medan Perjuangan sedangkan sample tingkat kerapatan bangunan terendah terdapat di Kecamatan Medan Timur. Analisis regresi linier pengaruh kepadatan bangunan dengan suhu permukaan lahan didapatkan korelasi (R) sebesar 0,64 dan koefesien determinasi (R2) sebesar 0,411 dan pemodelan kepadatan bangunan berbasis LST ini memiliki korelasi (R) dan koefesien determinasi (R2) sebesar 0,72 dengan RMSE yang didapat sebesar 0,853.
Dynamics of the Morphological Changes in the Progo River Due to Lahar Transport from Merapi Volcano Adhitama, Adib Prima; Jatmiko, Retnadi Heru; Mei, Estuning Tyas Wulan; Sartohadi, Junun
Indonesian Journal of Geography Vol 56, No 2 (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.81788

Abstract

The Merapi eruption in 2010 and 1975 caused lahar floods on the Progo River segment in Kulon Progo. This study aims to analyze the dynamics of river morphology changes that are affected by two lahar floods. Temporal images representing the two lahar flood events up to several years later were used to see river morphology changes. Temporal data from remote sensing and UAV is able to indicate the morphological change of river valleys in the study area. The analysis was carried out based on the parameters of river slope, riverbank morphology, and river curvature. The river slope is 0.74% which means the slope is flat. This condition gives a consequence of the river's meandering morphology. The morphology of the riverbank has the "U" shape, providing more surface area for river water to drain. The sinuosity ratio (SR) is dynamic during two lahar flood periods. In the 2010 lahar flood period, the SR pre-lahar flood was 1.92, increased significantly to 2.65 eight months post-lahar flood, and decreased significantly to 1.60 one year later. Lahar floods are the main factor causing these dynamics in this period. The annual SR for the next ten years is always changing but the fluctuations are more stable and tend to decrease. The SR's fluctuations in this period provide evidence that the river morphology is always changing even without major triggers. In the 1975 lahar flood period, the SR value was known from the PBB maps three years pre-events, five years post-events, and Google Earth images ten years post-events. The SR in this period fluctuated, and the meander became simpler at ten years post-events. The results of this paper provide evidence that spatial analysis with temporal images is more efficient and economical for studying river morphological dynamics.
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
Kalibrasi Estimasi Curah Hujan CHIRPS dengan Data Observasi di Semarang Jatmiko, Retnadi Heru; Ismail, Prayoga
Buletin GAW Bariri (BGB) Vol 6 No 2 (2025): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v6i2.147

Abstract

Precipitation is a crucial component of weather and climate, playing a fundamental role in the Earth's water cycle. However, in situ, rain gauge networks are still limited in their ability to comprehensively monitor precipitation across all regions, including Semarang regency and city. Satellite – based remote sensing and cloud computing technology, such as Google Earth Engine (GEE), offer a solution for generating rainfall estimates with spatial coverage. This study optimizes CHIRPS rainfall estimates through a calibration process using BMKG rain gauge data over the Semarang region for 2021 – 2023. It evaluates the spatial distribution and performance of CHIRPS before and after calibration. Compared to observational data, the original CHIRPS dataset exhibited significant spatial discrepancies, with a daily RMSE of 44 mm/day, a coefficient of determination (RSQ) of 0.02, and a SMAPE of 99%. The collinearity analysis showed that the relationship between CHIRPS and observational data tends to be scattered and less linear on a daily scale, but after calibration, this relationship becomes stronger. Calibration using the Geographical Differential Analysis (GDA) method successfully improved CHIRPS accuracy, as indicated by a reduction in daily RMSE to 25 mm/day, an increase in daily RSQ to 0.62, and a decrease in daily SMAPE to 70%. These improvements were also observed in monthly and annual rainfall estimates. The calibrated CHIRPS data exhibited enhanced spatial distribution and performance, with a 10% reduction in annual RMSE, a 25% increase in annual RSQ, and a 20% decrease in annual SMAPE compared to the original dataset. Furthermore, sensitivity to rainfall intensity improved, particularly for heavy to extreme rainfall events, as evidenced by a 58% reduction in the FAR, a 73% increase in the POD, and a 48% improvement in the CSI.
Optimalisasi Pemanenan Air Hujan untuk Ketahanan Pangan dan Adaptasi Kekeringan di Desa Tepus, Gunungkidul Muhamad Irfan Nurdiansyah; Dina Ruslanjari; Retnadi Heru Jatmiko; Nabilla Auriel Fajarian; Silfani Silfani
Jurnal Igakerta Vol. 2 No. 3 (2025): Jurnal Igakerta
Publisher : IGAKERTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70234/3fgwe262

Abstract

Ketersediaan air bersih di kawasan karst menjadi tantangan utama bagi ketahanan pangan dan adaptasi terhadap kekeringan. Desa Tepus, Kecamatan Tepus, Kabupaten Gunungkidul, menghadapi keterbatasan sumber air bersih akibat rendahnya retensi tanah kapur dan ketergantungan pada distribusi eksternal saat musim kemarau. Program pengabdian masyarakat ini bertujuan mengoptimalkan rainwater harvesting (RWH) berbasis partisipasi komunitas untuk meningkatkan akses air bersih dan mendukung kesejahteraan. Kegiatan dilaksanakan melalui pendekatan partisipatif, meliputi identifikasi kebutuhan, Focus Group Discussion (FGD), pembangunan, pelatihan, dan evaluasi. Hasil program menunjukkan peningkatan ketersediaan air rumah tangga dan dukungan terhadap ketahanan pangan lokal. Program ini menegaskan pentingnya kolaborasi multipihak dalam kerangka pentahelix dan berkontribusi pada pencapaian SDG 6 (Clean Water and Sanitation) serta mitigasi risiko kekeringan. Dengan demikian, RWH berpotensi menjadi model berkelanjutan yang dapat direplikasi di wilayah rawan kekeringan serupa.
Co-Authors Adhitama, Adib Prima Agung Kurniawan Ahmad Kosasih Alpon Sepriando Andi Syahputra Anugerah Ramadhian AP Ardhi Arnanto Arief Yamin Atmojo, Aulia Try Dewanto, Bayu Elwanto Bagus Dina Ruslanjari Dwi Setyo Aji Dyah Rahmawati Hizbaron Estuning Tyas Wulan Mei Hartono Hartono Hartono Hartono Hartono Hartono Hendry Frananda, Hendry Husain, Rainaldy Ikaf Fajar Maulana Ismail, Prayoga Isnaini, Een Lujainatul Junun Sartohadi Laia, Bonifasius Efraim Muhamad Irfan Nurdiansyah Muhammad Arif Munandar Muhammad Fauzan Ramadhan Muhammad Ulin Nuha Nabilla Auriel Fajarian Nur Mohammad Farda Nur Mohammad Farda Perdana, Redho Surya Pramudya, Alif Farhan Prawira, Devara Prayoga Ismail Projo Danoedoro Ramlah Ramlah Sepriando, Alpon Setiaji, Danang Silfani Silfani Sri Retno Murdiyati Sudaryatno Sudaryatno Trida Ridho Fariz Warsini Handayani Widyatmanti, Wirastuti Zahrotunisa, Siti