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All Journal JURNAL ECONOMIA IPTEK The Journal for Technology and Science AKSIOMA Jurnal Pendidikan Matematika Journal of Information Technology and Computer Science (JOINTECS) Sebatik Elipsoida : Jurnal Geodesi dan Geomatika J SIG (Jurnal Sains Informasi Geografi) ILKOMNIKA: Journal of Computer Science and Applied Informatics Buletin LOUPE (Laporan Umum Penelitian) TEPIAN Buletin Poltanesa Sewagati Journal of Geomatics Engineering, Technology, and Science Geoid - Journal of Geodesy and Geomatics
Nia Kurniadin
Politeknik Pertanian Negeri Samarinda
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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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 : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

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

Abstract

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.
Evaluasi Nilai Volume Produksi Overburden di PT Ansaf Inti Resources Site Berambai Bulan September 2022 Muhammad Havit Pratama; Dawamul Arifin; Radik Khairil Insanu; Nia Kurniadin
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i1.30

Abstract

Ansaf Inti Resources is located in Kec. Kutai Kartanegara, East Kalimantan. The coal mining process is preceded by excavation of overburden or activities carried out prior to coal getting to meet its production target, in determining the volume of overburden stripping in the Alam 4 pit survey activities are carried out and the determination of the rate of conveyance. In survey activities carried out by measuring the coordinates of X/easting, Y/northing and Z/elevation. The purpose of conducting research on, "Knowing the Value of Mine Production Volume based on Overburden Material Stripping survey data, truck count data Using Surpac Software" is to know the measurement of overburden progress survey in the mining area, know the calculation of overburden progress survey volume and find out the results of comparison of progress survey volume with calculations the number of trucks carrying overburden. The methodology used in this study consisted of the research preparation stage, the data collection stage, namely secondary data obtained indirectly from the survey team in the field. The results of measurements and calculations regarding the progress survey conducted in September 2022 obtained the overburden volume value in the first week of 76,289.77 BCM/m3, in the second week the overburden volume value was obtained 55,826.43 BCM/m3, in the third week the results were obtained the result of the overburden volume value is 44,179.01 BCM/m3, in the fourth week the result of the overburden volume value is 60,290.74 BCM/m3.
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 : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

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

Abstract

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.
Pemanfaatan Citra Sentinel-1 untuk Deteksi Kerusakan Akibat Gempa Bumi di Kabupaten Cianjur Arida Vania Firdaus; Nia Kurniadin; A. Arifin Itsnani SM; Dawamul Arifin
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i1.32

Abstract

The earthquake in Cianjur Regency, West Java Province, on November 21, 2022 at 13:21:10 Western Indonesia Time. The earthquake's epicenter was at coordinates 6.84° South Latitude and 107.05° East Longitude located about 9.65 km southwest of Cianjur City or 16.8 km northeast of Sukabumi City, with a magnitude of 5.6 at a depth of 10 km. These earthquakes include a shallow crustal tectonic earthquake (shallow crustal earthquake) with a mainshock-aftershock type. Major earthquakes (mainshocks) with a magnitude of 5.6 and aftershocks with a magnitude of 1.2–4.2 and an average depth of about 10 km, of which 5 are felt by the surrounding communities. This study aims to find out the area that suffered damage after the earthquake that occurred in Cianjur Regency, West Java. By using Sentinel-1 satellite image data with ascending and descending orbits in Cianjur Regency, data processing is carried out using ESA SNAP software, then followed by raster to vector, clips of administrative boundaries for Cianjur Regency and making map layouts using ArcGIS software. The results of this study show that 47.10% of the area was affected and suffered severe damage with a total area of 55.73 km2 detected. The total area detected in each district is Agrabinta 0,73 km2; Bojongpicung 0,97 km2; Campaka 1,76 km2; Campakamulya 0,29 km2; Cianjur 0,65 km2; Cibeber 1,42 km2; Cibinong 4,79 km2; Cidaun 2,69 km2; Cijati 0,36 km2; Cikadu 9,47 km2; Cikalong Kulon 1,24 km2; Cilaku 0,60 km2; Cipanas 2,95 km2; Ciranjang 0,18 km2; Cugenang 1,69 km2; Gekbrong 0,90 km2; Haurwangi 0,47 km2; Kadupandak 0,40 km2; Karangtengah 0,65 km2; Leles 1,47 km2; Mande 0,94 km2; Naringgul 10,49 km2; Pacet 1,13 km2; Pagelaran 1,88 km2; Pasirkuda 2,03 km2; Sindangbarang 1,22 km2; Sukaluyu 0,45 km2; Sukanagara 1,10 km2; Sukaresmi 0,81 km2; Takokak 0,57 km2; Tanggeung 0,72 km2; Warung Kondang 0,71 km2. The results of this study were obtained in the form of a post-earthquake damage detection map.
Pemetaan Penggunaan Lahan Desa Lendiang Liang Nayuq dengan Memanfaatkan Data Pendaftaran Tanah Sistematis Lengkap Tahun 2022 Herlan Herlan; Nia Kurniadin; Ahmad Aris Mundir Sutaji; Shabri Indra Suryalfihra
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 2 (2024): March 2024
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i2.34

Abstract

The research was motivated by the implementation of Complete Systematic Land Registration (PTSL) activities in Lendiang Liang Nayuq Village in 2022 to provide guarantees of legal certainty or rights to land owned by the community. PTSL activities have an impact on land use in Lendiang Liang Nayuq Village. Thus, it is necessary to utilize the results of these measurements to map land use. The aim of this research is to determine the area of Lendiang Liang Nayuq Village, the area of land that has been developed in the form of settlements, public facilities, plantations, and Cultivation Rights (HGU) in Lendiang Liang Nayuq Village, Siluq Nurai District, West Kutai Regency. The method used in this research is direct measurements in the field using GPS Geodetic HI-target v60 to obtain measuring field coordinates in the form of land use and village administrative boundaries. Next, digitization is carried out using GIS software. The results of this research showed that the number of fields measuring PTSL 2022 results in Lendiang Liang Nayuq Village, Siluq Ngurai District, West Kutai Regency was 314 fields, consisting of housing, public facilities, and plantations. Meanwhile, the land use area is 0.03% of the built-up land area in the form of settlements, 0.66% plantations, 0.09% public facilities, 25.51% Cultivation Rights and the remaining 73.71% is non-PTSL 2022 land.
Pemanfaatan Citra Sentinel-2 untuk Analisis Perubahan Kerapatan Vegetasi di Kecamatan Palaran Tahun 2019-2021 M. Kurniawan; Nia Kurniadin; Hasanudin Hasanudin; Shabri Indra Suryalfihra
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 2 (2024): March 2024
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i2.38

Abstract

Palaran is a sub-district in Samarinda City, East Kalimantan Province, with an area of approximately 221.29 km2. Palaran Sub-District is a place for various activities of residents and other areas around Samarinda City. These activities caused Palaran Sub-District to develop rapidly. The increasing need for housing is the cause of the conversion of green land as a vegetation area to other functions. Land conversion will increase along with population growth. The existence of vegetation in urban areas as green open space has many benefits, one of which is producing clean air. Apart from being an important element, vegetation also ensures that the ecosystem is not disturbed. The aim of this research is to determine changes in Vegetation Density in Palaran Sub-District and to determine the extent of changes in Vegetation Density in Palaran Sub-District. The Normalized Difference Vegetation Index (NDVI) method is used to analyze changes in vegetation density by utilizing Sentinel-2 imagery data recorded in 2019, 2020 and 2021. The results of the research are maps of changes in vegetation density and the magnitude of changes that occurred in Palaran Sub-District in 2019, 2020, 2021. Changes in density of high, medium, low, very low and non-vegetated vegetation from 2019 to 2021 respectively covering an area of 925.76 Ha, -160.52 Ha, -270.24 Ha, -654. 20 Ha, and 159.20 Ha. There was an increase in the density of high and unvegetated vegetation, as well as a decrease in the density of medium, low and very low vegetation. It is hoped that this information can be used as supporting data in efforts to control land conversion to maintain spatial planning and carrying capacity that is beneficial to the community.
Pemetaan Muka Air Tanah dengan Menggunakan Metode IDW dan Kriging di PT Bukit Baiduri Energi (Blok Utara) Kabupaten Kutai Kartanegara Ayub Artha Christ Tiyawarman; Nia Kurniadin; Romansah Wumu; A. Arifin Itsnani SM
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 2 (2024): March 2024
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

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

Abstract

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.
Identifikasi Deforestasi di Provinsi Kalimantan Timur Tahun 1990 dan 2020 Menggunakan Sistem Informasi Geografis Andriani Nadia Rahmawati; Feri Fadlin; Suparjo Suparjo; Nia Kurniadin
Journal of Geomatics Engineering, Technology, and Science Vol. 3 No. 1 (2024): September 2024
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v3i1.41

Abstract

This research is motivated by the abundance of resources available in Indonesia's forests. However, it is undeniable that the forest resources in Indonesia have a promising economic function, particularly in the form of timber or tree trunks that hold economic value, leading to timber exploitation that can result in deforestation. One example of this is the deforestation occurring in East Kalimantan Province, where both production forest areas and protected forest areas are experiencing gradual deforestation each year. This study aims to understand land use and identify deforestation in East Kalimantan Province in the years 1990 and 2020. The method used in this research is Geographic Information System (GIS) to process and analyze data, thereby obtaining information on land use types, area, and deforestation in East Kalimantan Province for the years 1990 and 2020. The results of this research include maps and data on deforestation in East Kalimantan Province for the years 1990 and 2020. Land use in East Kalimantan Province is classified into 21 land use classes, namely primary dryland forest, secondary dryland forest, primary mangrove forest, secondary mangrove forest, primary swamp forest, secondary swamp forest, plantation forest, plantations, shrubland, swamp shrubland, mixed dryland agriculture with shrubs, dryland agriculture, transmigration areas, settlements, open land, rice fields, ponds, water bodies, swamps, airports, and mining. There are four dominant land use change types related to deforestation: first, four types of forest land have changed to swamp shrubland; second, two types of forest land have changed to mixed dryland agriculture with shrubs; third, two types of forest land have changed to ponds; and fourth, two types of forest land have changed to mining.
Pemanfaatan Algoritma NDVI dan SAVI untuk Identifikasi Perubahan Kerapatan Vegetasi di Kabupaten Toraja Utara Menggunakan Citra Landsat 8 Tahun 2019 dan 2023 Austro Yoris Padatuan; Nia Kurniadin; Dyah Widyasasi; Andi Baso Sofyan A. P.
Journal of Geomatics Engineering, Technology, and Science Vol. 3 No. 1 (2024): September 2024
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v3i1.44

Abstract

This research is motivated by the rapid growth and development of infrastructure and tourism in North Toraja Regency. This has an impact on the closure of green land or vegetation areas and a decrease in environmental quality. Vegetation is a collection of several types of plants that grow together in one place to form a unity where individuals depend on each other. Vegetation has a major influence on all aspects of life, one of which is changes in forest land cover. If the vegetation has a low level of density, it will cause a reduction in forest litter, because there is no longer any part of forest vegetation on the land. Based on this information, it is necessary to conduct research on the level of vegetation density in North Toraja as a reference to see the condition of vegetation density and changes in vegetation density. The Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) algorithms are applied to Landsat 8 imagery. Then the data is processed using GIS software. Based on the NDVI algorithm, the vegetation density that decreased in the high-medium class was 11,484.32 Ha; high-low 2,718.90 Ha; medium-low 7,107.67 Ha; and there was an increase in the low-medium class of 4,741.15 Ha; low-high 1,090.48 Ha; and medium-high 16,540.27 Ha. Meanwhile, based on the SAVI algorithm, vegetation density decreased in the high-medium class 11,484.31 Ha; high-low 3,791.33 Ha; medium-low 1,121.40 Ha; and there was an increase in the low-medium class 1,428.21 Ha; low-high 2,055.49; and medium-high 2,762.21 Ha.
Pemetaan Distribusi Kecepatan Arus Saluran Drainase Akibat Pasang Purnama (Spring Tide) Menggunakan HEC-RAS (Studi Kasus Ruas Jalan H. Hassan Alwie - Niaga Barat Kota Samarinda) Rio Adiputra; Feri Fadlin; Dwi Agung Pramono; Nia Kurniadin
Journal of Geomatics Engineering, Technology, and Science Vol. 3 No. 2 (2025): March 2025
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v3i2.51

Abstract

The flow velocity patterns in drainage channels are crucial to study and understand in the context of water and environmental management. Drainage channels play a vital role in conveying rainwater and wastewater, often becoming a limited resource. A deep understanding of the flow velocity patterns in drainage channels is essential to manage water availability, reduce flood risks, and ensure good water quality. These flow velocity patterns are significantly influenced by the geometry, channel topography, water discharge, and other hydrological conditions. Advances in hydraulic modeling technology, such as the use of HEC-RAS software, have enabled more accurate and detailed hydraulic flow simulations. This hydraulic modeling technology is applied to address hydrological issues in the drainage channel on H. Hassan Alwie - Niaga Barat Street, Samarinda City, which frequently experiences water overflow, disrupting mobility and user safety. This study aims to determine the spring tide conditions on the flow velocity distribution in the drainage channel on H. Hassan Alwie - Niaga Barat Street, Samarinda City. Tidal data obtained from the Mahakam River during the spring tide period were used as input in modeling using HEC-RAS 6.5 software. The research results show significant variations in water level and flow velocity in the drainage channel during the spring tide period. The water level reached a maximum of 1.89 meters and a minimum of 0.01 meters, while the flow velocity varied between 0.03 m/s and 0.48 m/s. Mapping the flow velocity distribution revealed clear patterns, with areas of low flow velocity tending to accumulate sediment, potentially causing flooding. These findings provide a better understanding of the interaction between the spring tide phenomenon and urban drainage systems, which can be used to improve drainage planning and management in affected areas.
Co-Authors A. Arifin Itsnani SM A. Arifin Itsnani SM A. Arifin Itsnani SM Agum Gumelar AGUM GUMELAR, AGUM Ahmad Aris Mundir Sutaji Ahmad Aris Mundir Sutaji Akhmad Maulidi Andi Baso Sofyan A. P. Andi Baso Sofyan A.P Andi Nur Rahman Andi Nur Rahman Andriani Nadia Rahmawati Anggraini Anggraini Annafiyah Annisa Amelia Arida Vania Firdaus Aries Sulisetyono Arsya Farky Fadjuani Artanti Tustika Artanti Tustika Audi Qhoryaty Salsabillah Auliana Diah Wilujeng Austro Yoris Padatuan Ayub Artha Christ Tiyawarman Ayub Artha Christ Tiyawarman Dawamul Arifin Dian Pratiwi Nurdin Dio Caisar Darma Dwi Agung Pramono Dwi Agung Pramono Dwi Agung Pramono Dyah Widyasasi Dyah Widyasasi Eddy Setyo Koenhardono, Eddy Setyo Eko Junirianto Eny Maria F. V. Astrolabe Sian Prasetya Feri Fadlin Feri, Wawan Fitriansyah, Fitriansyah Gandung Sugita Gusti Noorlitaria Achmad Hadi, Pravasta Kiko Setiawan Hasanudin Hasanudin Hasanudin Herlan Herlan Ida Maratul Khamidah Jaelani, Lalu Muhamad Karim, Syafei Karno Karno M. Faisal Abimanyu M. Kurniawan Milatus Sholihah Mukarromah Muhammad Adry Yansi Muhammad Faisal Bashiir Muhammad Fajar Dharu Kusuma Muhammad Havit Pratama Muhammad Renaldi Arianda Muhammad Rizki Muhammad Rizki Muhammad Yani Muhammad Yani, Muhammad Namira Nur Azzahro Namira Nur Azzahro Nurgiantoro, Nurgiantoro Pamungkas, Adjie Pramono, Dwi Agung Pratiwi Wijayanti Radik Khairil Insanu Resti Limehuwey Rio Adiputra Rofikhotul Khoeriyah Romansah Wumu Rudi Djatmiko Ryo Anugrah Sandi Pranata Shabri Indra Suryalfihra Shal Sha Nur Sabilla Savitri Sinthia Putri Agustin Suparjo Suparjo Suparjo Sutaji, Ahmad Aris Mundir Syachrani, Syaparliddin Taufan Yanuar Muslim Widyasasi, Dyah Yoga Pratama Yuannita Yuannita Zulfha Diya Nur Ardzilla