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Analisis Deformasi Jalan Penghubung Antara Kelurahan Sanga-Sanga Dalam dan Kelurahan Pendingin Tahun 2015 dan 2021 Menggunakan Metode Interferometry Synthetic Aperture Radar Taufan Yanuar Muslim; Nia Kurniadin; Dyah Widyasasi; Romansah Wumu
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i1.28

The rise of coal mining in the East Kalimantan area which is close to public road access is thought to affect the quality and sustainability of surrounding public road access. The aim of this research is to determine the use of remote sensing data to analyze land subsidence or deformation that occurs on the connecting road between Sanga-Sanga Dalam Village and Pendingin Village, Sanga-Sanga District, Kutai Kartanegara Regency. The method used in this research is quantitative descriptive, namely determining ground deformation on roads obtained by analyzing Sentinel-1 imagery in 2015 and Sentinel-1 imagery in 2021. Ground deformation can be identified using a satellite-based remote sensing method through interferometry of two SAR images (interferometry synthetic aperture radar or InSAR) uses the Sentinel application platform (SNAP) which is an open source software (FOSS) application. Interferometry can represent changes in the line of sight between the ground and satellites in general. Changes in line of sight can be interpreted as signals of ground deformation. The results of this research can provide adequate information regarding comparative data on land elevation on the Sanga-Sanga Dalam - Pendingin road from several points experiencing land subsidence or deformation on average of 161.3 cm with an average land subsidence rate of 23.04 cm/year . Thus, remote sensing technology using the InSAR technique can be used to determine changes that occur in a short time and at low cost.

Perbandingan Laju Penurunan Muka Tanah Menggunakan Metode DInSAR dengan Pengolahan Data Aktual Annisa Amelia; Nia Kurniadin; Romansah Wumu; Shabri Indra Suryalfihra
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i1.29

This research is motivated by how the data generated from the capabilities of the radar technology used in monitoring land subsidence using the DInSAR (Differential Interferometry Synthetic Aperture Radar) method is compared with actual data in the mining sector. The purpose of this study was to determine the suitability of the land subsidence rate using the DInSAR method against the actual data. DInSAR processing is carried out using a pair of Sentinel-1 Terrain Observation by Progressive Scans (TOPS) images with acquisition times before and after changes in conditions due to mining activities. Actual data processing in the form of topographical data at the End of the Month (EOM) by carrying out the drape elements process by 30 sample points to provide information on the value of changes in elevation that occur within a period of three months. The results of the research show that there is a discrepancy between the data generated using the DInSAR method and the actual data. This can be due to the limitations of radar sensors in detecting soil dredging activities in mining areas. So that further processing is needed so that the results of Sentinel-1 Image processing with the DInSAR method can represent the value of land subsidence in the field.

Analisis Spasial Sawah Kabupaten Sidenreng Rappang Menggunakan Data Landsat-8 dengan Metode Random Forest Romansah Wumu; Ryo Anugrah; Nia Kurniadin; Andi Baso Sofyan A. P.
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i1.31

Rice fields play a crucial role in ensuring food security in a region. However, a major challenge is preventing the conversion of rice fields, which can jeopardize food availability. Therefore, it is essential to rapidly and accurately map rice field areas to precisely detect changes. An effective approach involves remote sensing technology and cloud computing. This research aims to map rice fields in Sidenreng Rappang Regency using Landsat-8 data with the random forest method on the Google Earth Engine platform. This method has proven efficient in image classification and yields accurate land mapping. In this study, Landsat-8 data serves as the primary source, with random forest classifying areas as rice fields. The main finding indicates that the total area of rice fields in Sidenreng Rappang Regency reaches 51,480.43 hectares. Validation using data from the Central Statistics Agency (BPS) reveals a difference in area of 0.67%, while regression analysis demonstrates a strong correlation between mapping data and BPS data, with an R-squared value of 0.9455.

Identifikasi Luasan Banjir Rob di Kota Semarang Pada Tanggal 24 Mei 2022 Menggunakan Citra Landsat Rahman, Andi Nur; Kurniadin, Nia; Wumu, Romansah; Suryalfihra, Shabri Indra
Journal of Geomatics Engineering, Technology, and Science Vol. 1 No. 2 (2023): March 2023
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v1i2.16

Tidal floods are floods that occur as a result of sea tides that inundate areas that have a lower elevation than sea level. The occurrence of tidal floods is due to sea level rise caused by tides, external forces such as water, wind, or swell (waves caused from a long distance), and storms which are natural phenomena that often occur at sea. A tidal flood in Semarang City on May 23, 2022, occurred with a height of 1.5 meters, occurred in the Tanjung Emas Port area. This tidal flood became the most severe flood in 2022. The utilization of remote sensing technology by using Landsat satellite imagery can be maximized to obtain information about tidal flood events that occurred in the city of Semarang. The purpose of this study was to find out how to identify the area of flooding using Landsat 8 and Landsat 9 imagery using the NDWI method and to determine the extent of the tidal flood that occurred on May 24, 2022, by comparing the wettability values of satellite imagery before and after the tidal flood. The results obtained are in the form of changes in the area of water bodies due to tidal flooding on the north coast of Semarang City in the Tugu sub-district 39.982 Ha; West Semarang 16.765 Ha; North Semarang 5.174 Ha; East Semarang 0.104 Ha; and Genuk 33.393 Ha.

Analisis Spasial Temporal Klorofil-a Perairan Ponelo Kepulauan Provinsi Gorontalo Tahun 2018-2022 Menggunakan Data Landsat 8 Wumu, Romansah; Kurniadin, Nia; Suryalfihra, Shabri Indra
Journal of Geomatics Engineering, Technology, and Science Vol. 1 No. 2 (2023): March 2023
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v1i2.17

Indonesia's maritime area covers approximately 3.25 million km2, which means that 70% of Indonesia's total area is comprised of the ocean. This indicates the enormous potential that Indonesia's ocean holds. The ocean is a crucial resource for the Ponelo Islands community, whose main livelihood is fishing. The marine ecosystem is vulnerable to environmental changes and pollution. Chlorophyll-a can serve as an indicator of the health of marine waters. Mapping the distribution of chlorophyll-a on the ocean's surface can be achieved through remote sensing technology. The study utilized the Nuriya Algorithm (2010) to derive the chlorophyll-a content in surface waters using Landsat-8 data from 2018-2021. Data processing is done through Google Earth Engine (GEE) which has the ability to process large amounts of data quickly (Big Data). The findings indicate an increase in chlorophyll-a content in the waters of Ponelo Islands at the beginning (DOY 0-20) and end (DOY 300-325) of the year. On a spatial scale, the average chlorophyll-a is widely distributed in the waters of Ponelo but is more concentrated in the coastal areas. This indicates that coastal areas of the Ponelo Islands may be more vulnerable to pollution and environmental changes and require special attention in environmental management and marine ecosystem conservation efforts.

Analisis Deformasi Jalan Penghubung Antara Kelurahan Sanga-Sanga Dalam dan Kelurahan Pendingin Tahun 2015 dan 2021 Menggunakan Metode Interferometry Synthetic Aperture Radar Muslim, Taufan Yanuar; Kurniadin, Nia; Widyasasi, Dyah; Wumu, Romansah
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i1.28

The rise of coal mining in the East Kalimantan area which is close to public road access is thought to affect the quality and sustainability of surrounding public road access. The aim of this research is to determine the use of remote sensing data to analyze land subsidence or deformation that occurs on the connecting road between Sanga-Sanga Dalam Village and Pendingin Village, Sanga-Sanga District, Kutai Kartanegara Regency. The method used in this research is quantitative descriptive, namely determining ground deformation on roads obtained by analyzing Sentinel-1 imagery in 2015 and Sentinel-1 imagery in 2021. Ground deformation can be identified using a satellite-based remote sensing method through interferometry of two SAR images (interferometry synthetic aperture radar or InSAR) uses the Sentinel application platform (SNAP) which is an open source software (FOSS) application. Interferometry can represent changes in the line of sight between the ground and satellites in general. Changes in line of sight can be interpreted as signals of ground deformation. The results of this research can provide adequate information regarding comparative data on land elevation on the Sanga-Sanga Dalam - Pendingin road from several points experiencing land subsidence or deformation on average of 161.3 cm with an average land subsidence rate of 23.04 cm/year . Thus, remote sensing technology using the InSAR technique can be used to determine changes that occur in a short time and at low cost.

Perbandingan Laju Penurunan Muka Tanah Menggunakan Metode DInSAR dengan Pengolahan Data Aktual Amelia, Annisa; Kurniadin, Nia; Wumu, Romansah; Suryalfihra, Shabri Indra
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i1.29

This research is motivated by how the data generated from the capabilities of the radar technology used in monitoring land subsidence using the DInSAR (Differential Interferometry Synthetic Aperture Radar) method is compared with actual data in the mining sector. The purpose of this study was to determine the suitability of the land subsidence rate using the DInSAR method against the actual data. DInSAR processing is carried out using a pair of Sentinel-1 Terrain Observation by Progressive Scans (TOPS) images with acquisition times before and after changes in conditions due to mining activities. Actual data processing in the form of topographical data at the End of the Month (EOM) by carrying out the drape elements process by 30 sample points to provide information on the value of changes in elevation that occur within a period of three months. The results of the research show that there is a discrepancy between the data generated using the DInSAR method and the actual data. This can be due to the limitations of radar sensors in detecting soil dredging activities in mining areas. So that further processing is needed so that the results of Sentinel-1 Image processing with the DInSAR method can represent the value of land subsidence in the field.

Analisis Spasial Sawah Kabupaten Sidenreng Rappang Menggunakan Data Landsat-8 Dengan Metode Random Forest Wumu, Romansah; Anugrah, Ryo; Kurniadin, Nia; Sofyan A. P., Andi Baso
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i1.31

Rice fields play a crucial role in ensuring food security in a region. However, a major challenge is preventing the conversion of rice fields, which can jeopardize food availability. Therefore, it is essential to rapidly and accurately map rice field areas to precisely detect changes. An effective approach involves remote sensing technology and cloud computing. This research aims to map rice fields in Sidenreng Rappang Regency using Landsat-8 data with the random forest method on the Google Earth Engine platform. This method has proven efficient in image classification and yields accurate land mapping. In this study, Landsat-8 data serves as the primary source, with random forest classifying areas as rice fields. The main finding indicates that the total area of rice fields in Sidenreng Rappang Regency reaches 51,480.43 hectares. Validation using data from the Central Statistics Agency (BPS) reveals a difference in area of 0.67%, while regression analysis demonstrates a strong correlation between mapping data and BPS data, with an R-squared value of 0.9455.

Pemetaan Muka Air Tanah dengan Menggunakan Metode IDW dan Kriging di PT Bukit Baiduri Energi (Blok Utara) Kabupaten Kutai Kartanegara Tiyawarman, Ayub Artha Christ; Kurniadin, Nia; Wumu, Romansah; Itsnani SM, A. Arifin
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 2 (2024): March 2024
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i2.39

This research was motivated by the need for information regarding the direction of water level distribution in the research area. By collecting mining concession boundary data, topographic data, and drilling data, it is necessary to present information that is easy for the company to understand. The aim of this research is to determine the accuracy of the IDW and Kriging methods in mapping groundwater levels. Primary groundwater level data collected using the systematic random sampling method was used to create an interpolation model. The accuracy of the interpolation model produced by the IDW and Kriging methods is known by observing the root mean square error (RMSE) parameters and validation tests. The best RMSE of the IDW method with five modeling experiments using 5 varying power (p) values. Meanwhile, the Kriging method uses Simple Kriging and Ordinary Kriging. The interpolation model for each method is then compared to find out which method has the best accuracy. Based on the results achieved, the best interpolation model using the IDW method was obtained using power (p) with a value of 5. The RMSE produced in this model was 10.14 with a validity of 49.01%. The best interpolation model using the Kriging method is obtained through the Ordinary Kriging variant. The RMSE produced by Ordinary Kriging is 8.61 with a validity of 38.21%. The research results show that the Kriging method is more accurate than the IDW method. The RMSE produced by the Kriging method has a lower value and higher validity.

Pemetaan Kerusakan Jaringan Jalan Poros Samarinda - Melak Kabupaten Kutai Barat Sardan, Ferry Nicky Adrian; Arifin, Dawamul; Suryalfihra, Shabri Indra; Wumu, Romansah; Sofyan A. P., Andi Baso
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 2 (2024): March 2024
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i2.40

The background of this research is due to the efforts to repair roads in Kutai Barat Regency, which are unevenly distributed. As a result, there are still many damaged road sections, including the Samarinda - Melak main road, thus necessitating a road condition assessment. The purpose of this research is to map the damage level of the Samarinda - Melak axis road. This research requires understanding in the field of geomatics to carry out measurement and mapping activities. The method used in the measurement activities is the tachimetry method which is then processed using Autocad Civil 3D, while checking road conditions is carried out directly at the measurement location. The results obtained in this study are a map of road damage, cross-sectional maps, and the level of road damage. The results show that the classification of damage on the Samarinda - Melak main road includes potholes, stripping, and distortion. Along the Samarinda - Melak main road, it can be observed that 57% of road damage is classified as potholes, 23% as distortion, and 20% as stripping.

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