Journal of Geomatics Engineering, Technology, and Science
The journal is published biannual in March and September by the Geomatics Technology Study Program, Department of Engineering and Computers, Politeknik Pertanian Negeri Samarinda. It is open access to all scientists, researchers, students, and other scholars. The goal of this journal is to provide a platform for scientists and academicians to promote, share, exchange, and discuss various issues and developments in different areas of Geomatics. We receive manuscripts from reputable universities all over Indonesia, universities abroad, and other government and private institutes. All manuscripts must be prepared in either English or Indonesian and are subject to a fair peer-review process. P-ISSN: 2830-1811 | E-ISSN: 2988-523X | DOI: 10.51967/gets General topics of interest includes but not limited to: - Geomatics Theory and Applications; - Surveying and Mapping Science and Technology; - Positioning and Navigations; - Hidrography and Oceoanography; - Photogrammetry and Remote Sensing; - Geographics Information System; - Regional and Urban Planning; - Natural Resources; - Disaster Management; - Civil and Environmental Engineering Survey.
Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda
Hydrological Modeling and GIS-Based Drainage Design for Urban Flood Management in Edaiken, Benin City, Nigeria
Urban flooding remains a persistent challenge in rapidly urbanizing regions of developing countries, largely due to inadequate drainage infrastructure and increasing surface runoff. This study presents a data-driven approach to flood mitigation through the integration of hydrological modeling, field surveys, and Geographic Information System (GIS)-based spatial analysis in Edaiken, Benin City, Nigeria. The study area was delineated into five sub-catchments (SC1–SC5) using Digital Elevation Models (DEMs) to analyze runoff patterns and flow accumulation. Hydrological parameters, including time of concentration (0.284–0.583 hours), rainfall intensity (137.034–175.972 mm/hr), and peak discharge (0.49–2.78 m³/s), were computed using the Rational Method, while hydraulic capacities were evaluated using Manning’s equation. Results indicate that sub-catchments SC3 and SC4 contribute the highest runoff volumes due to low elevation and high flow convergence. The cumulative discharge increased downstream to approximately 7.00 m³/s, necessitating drainage dimensions ranging from 0.9 × 0.9 m to 1.0 × 1.0 m. The findings reveal that flooding in the study area is primarily driven by undersized drainage systems, poor maintenance, and rapid urbanization. The proposed drainage redesign provides a technically sound framework for improving urban drainage capacity and supporting flood risk management. This study provides a scalable framework for sustainable urban drainage planning in flood-prone cities across sub-Saharan Africa
Copyright (c) 2026 Stephen Olushola Oladosu, Esther Carlie Joshua, Bright Odion Akenbor (Author) https://creativecommons.org/licenses/by/4.0
Evaluasi Pemanfataan Foto Udara untuk Perhitungan Volume StockROM 74 di PT Mitra Indah Lestasi
Survey activities in the mining sector generally use terrestrial methods, total stations are one of the tools used. The use of total stations is considered inefficient because it requires many surveyors and takes a long time. Technological developments in the field of surveying allow the use of photogrammetry methods with drones/UAVs as tools for mapping in the mining sector, including in calculating the volume of stockROM (Run of Mine) using aerial photographs. The advantages of using this method include being able to cover a wider area in a relatively short time, surveyor efficiency, and more affordable costs. However, we still need to assess the quality and accuracy of stockROM volume calculations by comparing them to terrestrial topographic data. StockROM 74 PT Mitra Indah Lestari was taken as a sample in this study. Aerial photo data was processed using Agisoft Metashape to produce DEM data. The DEM was processed to produce contour data. On the other hand, this DEM was also processed to obtain point values using the extract value to point method using ArcGIS. Topographic data from measurements using a total station is used as a comparison. The three data sets—contour data, point data, and topography—were processed using a triangulation method using Minescape to generate StockROM volume values, which were then compared. The difference in volume between contour processing and topographic data is 6%, while between point processing and topographic data is 0.00197%.
Copyright (c) 2026 Audi Qhoryaty Salsabillah, Nia Kurniadin, Dwi Agung Pramono, Feri Fadlin (Author) https://creativecommons.org/licenses/by/4.0
Pemetaan Tingkat Kerawanan Longsor Berbasis Sistem Informasi Geografis (SIG) di Wilayah Kota Bandung Provinsi Jawa Barat
Landslides are one of the most frequent and destructive natural disasters in West Java Province, particularly in Bandung City, which is characterized by varied topography, high rainfall, and rapid land-use change. This study aims to analyze and map the spatial distribution of landslide susceptibility in Bandung City using the Weighted Overlay method based on Geographic Information Systems (GIS). Five parameters were applied in the analysis: slope, rainfall intensity, soil type, rock type, and land use. Each parameter was classified and weighted according to its influence on landslide occurrence. The analysis revealed that the landslide susceptibility levels in Bandung vary from low to very high. The largest area, covering 49.88%, falls within the moderate susceptibility class, while 36.02% of the area is categorized as high to very high susceptibility. High rainfall intensity and extensive land-use conversion in hilly regions were identified as the dominant contributing factors to landslide potential, supported by steep slopes and easily weathered geological formations. The resulting susceptibility map provides essential spatial information for local government authorities in developing sustainable land-use planning, risk mitigation strategies, and community preparedness programs. The study highlights the effectiveness of GIS-based analysis for environmental hazard assessment and emphasizes the need for high-resolution data integration in future research to improve mapping accuracy.
Copyright (c) 2025 Yuannita Yuannita, Dawamul Arifin, Nia Kurniadin, Radik Khairil Insanu (Author) https://creativecommons.org/licenses/by/4.0
Pemetaan Perubahan Tutupan Lahan di Kota Baubau Provinsi Sulawesi Tenggara Tahun 2015, 2019, dan 2023
This study was conducted to determine land cover changes in Baubau City, Southeast Sulawesi Province, in 2015, 2019, and 2023. As a center of economic and social activity, Baubau City is experiencing rapid regional development, necessitating an analysis of changes in its land use. This study also aims to identify the types of land that have undergone changes and the factors influencing these changes. The method used in this study is spatial analysis using Landsat 8 satellite imagery with a supervised classification technique using the Support Vector Machine (SVM) algorithm. The land cover types analyzed include clouds, forest land, agricultural land, open land, and settlements. The data used is Landsat 8 satellite imagery from 2015, 2019, and 2023. The imagery data was then processed using ArcGIS software to identify and map changes that occurred between years. The research process included data collection, image processing, classification, change analysis, and map creation. The results of the study indicate that from 2015 to 2023, there were significant changes in land cover in Baubau City. In 2019, some areas were covered by clouds, affecting land interpretation results, but a trend of change was still visible. Agricultural land showed a decreasing trend in area from 76.99 km² in 2015 to 68.51 km² in 2019, and continued to shrink to 34.53 km² in 2023, so that agricultural land showed a narrowing. In 2015, the area of residential land was recorded at 21.51 km², then shrank to 14.01 km² in 2019, and increased sharply to 36.33 km² in 2023, so that residential land showed an increase. Forest land has consistently increased, from 116.16 km² in 2015 to 121.09 km² in 2019, and continues to grow to 138.95 km² in 2023, resulting in forest land shrinking. Based on these results, it can be concluded that the direction of Baubau City's development tends towards residential expansion, displacing agricultural land. Therefore, sustainable spatial management is needed to maintain ecological functions.
Copyright (c) 2025 Shal Sha Nur Sabilla Savitri, Nia Kurniadin, Ahmad Aris Mundir Sutaji, Andi Baso Sofyan A. Pabolloi (Author) https://creativecommons.org/licenses/by/4.0
Monitoring Perubahan Garis Pantai Menggunakan Citra Satelit Sentinel-2 di Kelurahan Manggar Kota Balikpapan Tahun 2016 – Tahun 2024
The coastal area has dynamic characteristics that continuously change due to the influence of complex interactions between natural factors and human activities. These changes are triggered by pressures from natural phenomena (such as erosion and flooding) as well as human activities on land and at sea, such as the development of settlements and the conversion of forests into agricultural land or aquaculture. The impacts of these activities can disrupt the stability of coastal ecosystems. In the coastal area of Manggar Village, which is home to several tourist destinations, the presence of tourist attractions and the development of supporting tourism infrastructure have the potential to alter the structure of the coastline. This activity necessitates research to conduct periodic monitoring in the form of determining the coastline affected by the extent of erosion and accretion from 2016 to 2024 every two years. The objective of this research is to present biannual data related to the dynamics of coastline changes and to measure the area affected by erosion (degradation) and accretion (sedimentation addition) in the coastal area of Manggar Village during the period of 2016-2024. The method used leverages remote sensing technology through Sentinel-2 image analysis with the NDWI (Normalized Difference Water Index) algorithm and land-sea segmentation techniques to accurately separate water and land areas. The results of this research are expected to serve as a scientific reference for sustainable coastal area management. This study shows results indicating that the coastline length in 2016 was 6,222 m or 6.2 km, and in 2024 it was 6,130 m or 6.1 km. The erosion from 2016 to 2024 covered an area of 115,770 m², while the accretion covered an area of 14,600 m². The findings of this research provide a clear picture
Copyright (c) 2025 Muhammad Adry Yansi, Nia Kurniadin, Shabri Indra Suryalfihra, Romansah Wumu (Author) https://creativecommons.org/licenses/by/4.0
Pemantauan Perubahan Total Suspended Solid di Sungai Mahakam Kota Samarinda Menggunakan Citra Satelit Sentinel-2 Tahun 2018, Tahun 2021, dan Tahun 2024
This research is motivated by the importance of the Mahakam River as a vital source of livelihood and economic activity in the city of Samarinda, where water quality requires special attention. One of the key parameters in determining water quality is Total Suspended Solids (TSS), which indicates the amount of suspended particles in the water and affects both water clarity and aquatic ecosystems. Conventional water quality monitoring methods are often time-consuming and costly. Therefore, remote sensing technology using Sentinel-2 satellite imagery provides a more efficient alternative for monitoring TSS changes in the Mahakam River over time. Based on the analysis of Total Suspended Solids (TSS) using the Budhiman and Parwati algorithms in the Mahakam River, it was found that TSS values changed during the period from 2018 to 2024. In 2018, TSS values based on the Budhiman algorithm ranged from 101.4181 mg/L to 151.0301 mg/L, while the Parwati algorithm showed a range from 125.1161 mg/L to 221.8730 mg/L. The highest TSS level in 2018 was recorded at STA 06 according to both algorithms. In 2021, the highest TSS value based on the Budhiman algorithm reached 538.0830 mg/L at STA 17, while the Parwati algorithm recorded a peak of 897.9948 mg/L at STA 01. In 2024, the Budhiman algorithm noted a significantly high value of 227.9285 mg/L at STA 21, while the Parwati algorithm showed the highest value of 954.8387 mg/L at STA 04.
Copyright (c) 2025 Sinthia Putri Agustin, Nia Kurniadin, Dwi Agung Pramono, Shabri Indra Suryalfihra (Author) https://creativecommons.org/licenses/by/4.0
Identifikasi Kondisi Drainase Berbasis WebGIS di Jalan Pangeran Antasari Kota Samarinda
This study aims to identify the condition of drainage channels located along Jalan Pangeran Antasari in Samarinda City and to present the data interactively through a WebGIS platform. Drainage issues in this area often cause waterlogging and flooding during heavy rainfall. Therefore, accurate and accessible mapping of drainage conditions is crucial. The research method involved physical measurements of drainage dimensions, such as top width, bottom width, channel height, and concrete width. The collected data were processed using ArcGIS Pro software by digitizing the drainage paths in the form of polylines, which were then published through ArcGIS Online in a dashboard format. Field documentation was also supported by geo-tagged photos that were converted into coordinate points on the map. The findings of the study revealed that several drainage segments have inadequate dimensions to accommodate stormwater during heavy rain, indicating the need for improvement or normalization. The developed WebGIS successfully presents spatial and descriptive information about the drainage conditions in an interactive format, making it a valuable reference for technical evaluation and drainage management planning in the area
Copyright (c) 2025 Fernando Dwio Junianto, Shabri Indra Suryalfihra, Feri Fadlin, A. Arifin Itsnani (Author) https://creativecommons.org/licenses/by/4.0
Perancangan WebGIS Penyebaran Lapangan Olahraga Bulutangkis di Kota Samarinda Menggunakan Quantum GIS dengan Plugin NextGIS Connect
This research is motivated by the increasing interest of the people of Samarinda City in badminton. The growing enthusiasm has led to a rising demand for accessible and accurate information regarding badminton court rentals. With numerous courts available, there is a need for an information system that can help the public find and choose courts that best suit their needs and preferences. The aim of this study is to design and develop a WebGIS (Web-based Geographic Information System) that maps the distribution of paid badminton courts in Samarinda City. This WebGIS provides not only spatial information but also detailed attribute data, including court names, addresses, available facilities, opening hours, rental prices, and visual documentation in the form of interior photos and exterior videos of the buildings. This system is intended to assist users in easily accessing information and receiving recommendations for suitable courts. The method used in this study is the Geographic Information System (GIS) approach, which functions to manage, analyze, and present both spatial and non-spatial data. Data processing is conducted using QGIS software, and the WebGIS is published using the NextGIS Connect plugin for online display. The result of this research is an interactive WebGIS that presents the distribution of 44 paid badminton courts across Samarinda City. Each location point is equipped with detailed information, including the name, address, facilities, coordinates, operating hours, rental prices, contact details, photos, and video documentation of the location. The distribution of courts includes: 8 courts in Sungai Pinang District, 7 in Samarinda Ulu, 6 in Loa Janan Ilir, 5 in Samarinda Utara, 5 in Samarinda Kota, 5 in Sambutan, 4 in Sungai Kunjang, 2 in Samarinda Seberang, and 1 court each in Palaran and Samarinda Ilir Districts
Copyright (c) 2025 Mentari Maruba Nasib Purba, Shabri Indra Suryalfihra, Ahmad Aris Mundir Sutaji, A. Arifin Itsnani SM (Author) https://creativecommons.org/licenses/by/4.0
Perbandingan Pengamatan Benchmark Menggunakan Alat Spectra SP80 dan Comnav T300 dengan Software Trimble Business Center
The GNSS survey method is currently widely used for various purposes, both scientific and practical, due to its advantages in terms of accuracy, speed, simplicity, and lower cost. Today, a wide range of GNSS survey instruments are available for benchmark point observations. Therefore, it is necessary to obtain information regarding the accuracy that these different instruments can provide. This study compares the results of benchmark point observations using the same method, namely the static method, but with two different instruments: Spectra SP80 and Comnav T300. The aim of this research is to determine the accuracy level of benchmark observations using the Spectra SP80 and Comnav T300, processed with the Trimble Business Center application. The comparative analysis shows that the Spectra SP80, when processed using Trimble Business Center, produces a smaller average difference in X and Y coordinates compared to the Comnav T300. However, in the Z coordinate, the Comnav T300 shows a smaller average difference than the Spectra SP80. Data analysis from the processing summary images provides information on the precision levels of both instruments. At benchmark point BM 2, the Comnav T300 demonstrated superior horizontal and vertical precision compared to the Spectra SP80. Conversely, at benchmark point BM 5, the Spectra SP80 showed better horizontal and vertical precision than the Comnav T300.
Copyright (c) 2025 Yunadi Arham, Dawamul Arifin, Feri Fadlin, Andi Baso Sofyan A. P. (Author) https://creativecommons.org/licenses/by/4.0
Analisis Karakteristik Morfometri Sub DAS Karang Mumus Menggunakan Aplikasi HEC-HMS
The Karang Mumus sub-watershed is located in an urban area, making it vulnerable to development pressures and land use changes. Morphometric analysis of the Karang Mumus sub-watershed plays a crucial role in understanding the physical characteristics of the area and their relationship to water resource management and flood disaster mitigation in Samarinda City and its surrounding regions. This study aims to examine the morphometric characteristics of the Karang Mumus sub-watershed through the processing of DEMNAS data using the HEC-HMS 4.10 application. The results show that the Karang Mumus sub-watershed is divided into 15 sub-sub-watersheds, with a total area of 318.98 km². The sub-sub-watershed with the longest river channel is sub-sub-watershed 1, with a channel length of 18.57 km, while the shortest is sub-sub-watershed 12, with a channel length of 1.05 km. The average slope/gradient of the main river channel in the Karang Mumus sub-watershed is 0.15 m/m. The drainage density index of the Karang Mumus sub-watershed falls into the medium classification (0.25–10 km/km²). In terms of shape, the Karang Mumus sub-watershed is classified as elongated, with a Roundness Coefficient (RC) of 0.03 km.
Copyright (c) 2025 Astutik Ariningsih, Feri Fadlin, Dwi Agung Pramono, Shabri Indra Suryalfihra (Author) https://creativecommons.org/licenses/by/4.0
Perhitungan Jumlah Volume Tonase Batubara di PT Ansaf Inti Resources Kutai Kartanegara
The purpose of this research is to explain the method of calculating coal volume using Gemcom Surpac 6.3 software. This research also aims to present the amount of coal tonnage in comparison to volume calculations for the period of November 2022. Calculating coal volume is crucial in determining the quantity of mineral deposits. This volume calculation is done as accurately and precisely as possible to produce accurate volume and tonnage. The method used in this research is net volume calculation (grid/borrow pit), where the excavation volume is the difference between cut and fill during a specific period. The data used in this research is secondary data. The results of this research are in the form of coal volume calculation and coal tonnage for one month of excavation in November 2022 using Gemcom Surpac software with the net volume method. From the calculation results, the coal volume is 139,309.26 tons, with each seam M being 66,116.02 tons, seam Q1 being 33,563.89 tons, and seam Q3 being 39,629.35 tons. For the density of newly excavated coal seams, it is 1.00, so it can be said that whatever the calculated coal volume using Gemcom Surpac software is the result of the tonnage itself. The result of coal volume calculation also has a standard deviation value of 1.96%. The calculation result does not exceed the standard deviation set by PT Ansaf Inti Resources, which is ≤ 3%
cut, fill, gemcom surpac, grid, net volume
Copyright (c) 2025 Elok Aulia Noor Angelina, Aris Mundir Sutaji, A. Arifin Itsnani SM, Radik Khairil Insanu (Author) https://creativecommons.org/licenses/by/4.0
Pemetaan Topografi Saluran Drainase Ruas Jalan Pangeran Diponegoro – Yos Sudarso Kota Samarinda Provinsi Kalimantan Timur
This research is motivated by the frequent occurrence of waterlogging or flooding at the research location due to insufficient drainage capacity to accommodate the large volume of water. Therefore, topographic mapping of the drainage channels is conducted, with the data intended for planning the installation of pumps and normalization of the drainage channels. This study aims to describe the situational topography and present longitudinal and cross-sectional profile maps, as well as drainage volume information using AutoCAD Civil 3D 2022 and ArcMap 10.8. The topographic mapping of the drainage channels resulted in topographic maps, longitudinal profile (Long Section) maps, and cross-sectional profile (Cross Section) maps with a total of 202 coordinate points, an overall road length of 664 meters, 28 stations, divided into 25 meters for each station section, and a total drainage volume of 2104.17 cubic meters along Pangeran Diponegoro – Yos Sudarso road. Additionally, the presentation of the drainage channel slope was included. This research was conducted on Jalan Pangeran Diponegoro – Yos Sudarso in Samarinda City. The measurements in this study utilized the ComNav T300 Geodetic GPS using the Real-Time Kinematic (RTK) method.
Copyright (c) 2025 Muhammad Erik Riswan, Feri Fadlin, Radik Khairil Insanu, Muh. Akshar (Author) https://creativecommons.org/licenses/by/4.0
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)
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.
Copyright (c) 2025 Rio Adiputra, Feri Fadlin, Dwi Agung Pramono, Nia Kurniadin (Author) https://creativecommons.org/licenses/by/4.0
Pemetaan Perubahan Kerapatan Vegetasi Mangrove di Kabupaten Berau Tahun 2019 – 2023 dengan Metode Normalized Difference Vegetation Index (NDVI)
Berau merupakan salah satu kabupaten di Provinsi Kalimantan Timur yang beribukota di Tanjung Redeb. Potensi hutan mangrove di Kabupaten Berau cukup luas mencapai 86 ribu hektar yang harus terus dijaga karena memiliki manfaat dan fungsi yang sangat besar. Vegetasi mangrove di Kabupaten Berau memiliki peran ekologis yang penting, termasuk sebagai habitat bagi berbagai jenis flora dan fauna, serta sebagai pelindung pantai dari erosi. Perubahan kerapatan vegetasi mangrove dapat mencerminkan kondisi kesehatan ekosistem tersebut. Penurunan kerapatan vegetasi dapat menunjukkan adanya degradasi lingkungan yang perlu ditangani. Penelitian ini bertujuan untuk melakukan pemetaan perubahan kerapatan vegetasi mangrove di Kabupaten Berau memanfaatkan teknologi penginderaan jauh, yakni metode Normalized Difference Vegetation Indeks (NDVI) melalui pengolahan data citra Sentinel-2 tahun 2019 sampai tahun 2023. Penggunaan citra satelit, khususnya Sentinel-2A, merupakan pendekatan modern dalam memantau dan menganalisis perubahan vegetasi. Hasil penelitian menunjukkan adanya perubahan kerapatan vegetasi mangrove di Kabupaten Berau dari tahun 2019 hingga 2023. Tahun 2019 kerapatan dengan klasifikasi lebat mencakup 79%. Kawasan mangrove. Menurun drastis menjadi 48% pada tahun 2023. Kerapatan dengan klasifikasi sedang sebesar 4% pada tahun 2019, meningkat menjadi 26% pada tahun 2023. Sedangkan kerapatan dengan klasifikasi jarang sebesar 7% pada tahun 2019 lalu meningkat menjadi 19% pada tahun 2023. Pada penelitian ini berhasil menunjukkan perubahan kerapatan vegetasi mangrove di Kabupaten Berau selama periode 2019-2023 dengan menggunakan metode NDVI. Hasil ini memberikan wawasan yang penting bagi upaya konservasi dan pengelolaan lingkungan di daerah tersebut, serta menunjukkan potensi penggunaan teknologi penginderaan jauh dalam memonitor kondisi vegetasi secara efisien dan akurat.
Copyright (c) 2025 Tsalji Dzakira Fasabbih, Dwi Agung Pramono, Feri Fadlin, Andi Baso Sofyan A. P. (Author) https://creativecommons.org/licenses/by/4.0
Pemetaan Kelurahan Pasar Pagi Kota Samarinda Dengan menggunakan Autodesk Map
Pesatnya pertumbuhan Kota Samarinda mempengaruhi struktur kota, maka peta kota yang digunakan harus di up to date agar objek baru yang belum tampak di peta bisa terlihat. Peta up to date diperlukan untuk melihat perkembangan kota Samarinda saat ini. Global Positioning System (GPS) dibutuhkan untuk menggambar objek baru yang belum tergambar di peta. Tujuan penelitian ini adalah membuat peta jaringan jalan di Kota Samarinda merupakan salah satu peta yang sering digunakan untuk mendapat informasi lokasi, nama jalan, panjang dan jarak ditempuh pada suatu wilayah. Alat yang digunakan membuatkan peta jaringan jalan di Kota Samarinda adalah GPS Garmin 60 CSX. GPS adalah alat untuk mencari titik koordinat jaringan jalan yang belum tergambar di peta. Penentuan titik koordinat, GPS menerima sinyal dari satelit GPS. Metode yang digunakan dalam menggambar jaringan jalan di Kota Samarinda dilakukan dua tahapan yaitu proses pengumpulan data dan menggambar peta jaringan jalan dengan software Autodesk Map. Proses pengambilan data jaringan jalan dilakukan dengan survei menggunakan GPS. Setelah itu data diolah di komputer dengan menggunakan software Map Source dan Autodesk Map 2008. Survei jaringan jalan berguna untuk mengetahui titik koordinat jaringan jalan yang belum terlihatdi peta. Pada proses penggambaran dapat meng-cross check koordinat dasar yang berasal BIG. Hasil penelitian ini adalah peta up to date yang menginformasikan lokasi, jaringan jalan dan pembangunan yang ada di Kota Samarinda.
Copyright (c) 2025 Journal of Geomatics Engineering, Technology, and Science https://creativecommons.org/licenses/by/4.0
Pemetaan Perubahan Tutupan Lahan Dengan Metode Supervised Classification Menggunakan Citra Landsat 8-9 di Kecamatan Sepaku Tahun 2014 dan 2024
This research is motivated by the relocation of the capital city from DKI Jakarta Province to East Kalimantan Province, specifically in the Sepaku Sub-district, Penajam Paser Utara Regency. The relocation of the capital city may lead to changes in land cover due to land conversion and development activities. The purpose of this study is to analyze changes in land cover in the Sepaku Sub-district, Penajam Paser Utara Regency, based on mapping using the supervised classification method with Landsat 8-9 imagery from 2014 and 2024. The results of land cover identification in the Sepaku Sub-district classify the area into vegetated areas (agriculture), vegetated areas (non-agriculture), open land, settlement and related land, and water bodies. In 2014, land cover in Sepaku Sub-district was dominated by non-agricultural vegetated areas, accounting for 60.04% of the total area, which slightly increased to 60.21% in 2024. Furthermore, the results show a slight increase in non-agricultural vegetated areas, from 75,804.1 hectares in 2014 to 76,013 hectares in 2024. Conversely, a decrease was observed in agricultural vegetated areas and open land types. The area of agricultural vegetated land decreased from 39,663 hectares in 2014 to 38,271 hectares in 2024, while open land decreased from 7,111 hectares in 2014 to 6,141.2 hectares in 2024. Meanwhile, settlement and related land cover experienced a significant increase, growing from 2,454 hectares in 2014 to 4,520.2 hectares in 2024.
Copyright (c) 2024 Journal of Geomatics Engineering, Technology, and Science https://creativecommons.org/licenses/by/4.0
Pemanfaatan Citra Satelit dan Foto Udara untuk Pemetaan Pola Ruang di Desa Bunga Jadi Kecamatan Muara Kaman
The spatial pattern mapping in village areas plays a crucial role in sustainable village planning and development. The objective of this study is to produce a spatial pattern map of Bunga Jadi Village, located in Muara Kaman Sub-district, Kutai Kartanegara Regency, and to identify the distribution of spatial patterns within the village. The results of the spatial pattern mapping in Bunga Jadi Village indicate that the protected area covers 1,106.72 hectares, or approximately 21.04% of the total area, while the cultivation area covers 4,152.62 hectares, or around 78.96% of the total area. The functional classification of areas in Bunga Jadi Village includes forest areas, peatland forests, green open spaces (RTH), business/trade and service areas, mining areas, and the most prominent potential area in the village, which is the plantation area, with a total area of 5,259.34 hectares.
Pemanfaatan Algoritma NDVI dan SAVI untuk Identifikasi Perubahan Kerapatan Vegetasi di Kabupaten Toraja Utara Menggunakan Citra Landsat 8 Tahun 2019 dan 2023
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.
Studi Perbandingan Luas Bidang Tanah Hasil Identifikasi Foto Udara dengan Pengukuran Terestris dalam Menunjang Kegiatan Pendaftaran Tanah Sistematik Lengkap (PTSL)
This study aims to compare and evaluate the accuracy of land area measurement through aerial photo identification with direct field/ terestrial measurements using Geodetic GPS. This is useful for determining the most efficient and accurate method to support the acceleration of the Complete Systematic Land Registration (PTSL) program. Based on the measurement activities and data analysis, the largest coordinate discrepancy between aerial photo identification and direct measurement using Geodetic GPS was found in land parcel 10, with a difference of 0.88031550. The smallest discrepancy was observed in land parcel 7, with a difference of 0.06694568. The total coordinate discrepancy across the measurement of 10 land parcels was 3.92, with an average discrepancy of 0.35. The Root Mean Square Error (RMSE) value was 0.59. Furthermore, the field measurement results showed that direct field measurement using Geodetic GPS produced highly accurate land area data. The discrepancy between the land area proposed by the applicant and the direct measurement results had an average difference of only 0.7 m². Meanwhile, the measurement results of land area through aerial photo identification showed a larger average discrepancy compared to the land area proposed by PTSL applicants, with an average difference of 10.8 m².
Pemetaan Pola Arus Sungai Mahakam Kabupaten Kutai Kartanegara Menggunakan Software ArcGIS
This research is undermined by the dynamics of the current patterns of the Mahakam River, which is a crucial element in understanding the waters including the safety of the river transportation. The method used in this study is to take field data horizontally using the Current Meter tool, which is then continued with the analysis process with the help of ArcGIS software. The results of the research show that the speed patterns and direction of the flow of the river have different significance in each depth, as for the direction pattern of the current of the Mahakam River dominates from top to bottom, the cause of the occurrence of different direction of flow due to the topographic factors of the base river.
Identifikasi Deforestasi di Provinsi Kalimantan Timur Tahun 1990 dan 2020 Menggunakan Sistem Informasi Geografis
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.
Pemetaan Kerusakan Jaringan Jalan Poros Samarinda - Melak Kabupaten Kutai Barat
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.
Pemetaan Muka Air Tanah dengan Menggunakan Metode IDW dan Kriging di PT Bukit Baiduri Energi (Blok Utara) Kabupaten Kutai Kartanegara
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.
Pemanfaatan Citra Sentinel-2 untuk Analisis Perubahan Kerapatan Vegetasi di Kecamatan Palaran Tahun 2019-2021
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.
Perbandingan Hasil Pengolahan Data GPS Geodetik Menggunakan Aplikasi Compass Solution dan Aplikasi Trimble Business Center
The background of this research is as an effort to determine the level of accuracy in the Compass Solution and Trimble Business Center software. So that you can find software with a better level of accuracy. The purpose of this study is to find out the results of processing static observation data using Compass Solution and Trimble Business Center software to obtain a report on the processing results in the form of point coordinate values. The methods used in measurement activities are absolute and differential methods which are then processed using Compas Solution Software and Trimble Business Center software. The results obtained in this study are the availability of the difference in coordinates X, Y and Z when processing using Compass Solution and Trimble Business Center software. The results of differential method data processing using the Trimbel Business Center application (strategy 3) are closest to the fixed BM coordinate values ​​that have been determined, namely with an average difference in the X value of 7.75 mm, Y value of 17.5 mm, and the average difference The Z value is 266.25 mm. Meanwhile, the results of absolute method data processing using the Compass Solution application (strategy 2) are closest to the fixed BM coordinate values, namely with an average difference in the X value of 1,129 mm, Y value of 229.25 mm, and an average difference in Z value is 1,131 mm.
Perhitungan Tonase Stockpile Batubara Metode Cut and Fill Menggunakan Aplikasi Minescape
Coal is a mineral resource with high economic value. Demand for coal commodities is increasing to meet energy needs. Therefore, calculating coal reserves is an important thing to do in coal exploration activities. Coal that has been mined will be stacked in a storage area (stockpile) or temporary storage (temporary stock) before being transported to consumers. Periodic volume monitoring is one of the most important things in stockpile management control which aims to determine the volume of coal in the stockpile. The cut and fill method is a coal volume calculation method that is often used in mining activities by calculating the area of ​​two cross-sections and the distance between the top and bottom cross-sections. The data used in this research are coordinate data (x, y, and z) stock taking measurements, base/bedding data (base), weighing data, density data (density), and ortho photos of Port SBJ obtained indirectly from the location research at PT Insani Baraperkasa, Tani Bhakti Village, Loa Janan District, Kutai Kartanegara Regency. The results of this research are the total BCM (Bank Cubic Meter) volume of the coal stockpile, which is then converted into tonnage value (kg/m³), namely by multiplying the density (kg/m³) of coal to obtain the tonnage value in Raw Coal Room 1, namely 33,012.52 (tons) and the Crushed Coal tonnage is 8,080.07 (tons). The tonnage value adds up to 41,092.59 (tons) in the SBJ Port stockpile tonnage for the period February 2022.
Pemetaan Deforestasi dan Perubahan Tutupan Lahan di Wilayah Pertambangan Nikel Kecamatan Pomalaa Memanfaatkan Teknologi Penginderaan Jauh
Pomalaa District, Kolaka Regency, Southeast Sulawesi Province, is one of the regions in Indonesia which has quite large mining potential, especially for nickel commodities. The stages of nickel mining activities consist of land clearing activities which can cause deforestation or reduction of forest area. The aim of this research is to map deforestation and land cover changes that occur in the nickel mining area of Pomalaa District. It is expected that the results of this research can be used as consideration in formulating policies for efforts to rehabilitate land damaged by mining activities in Pomalaa District, Kolaka Regency, Southeast Sulawesi Province. The method used in this research is multi-time remote sensing image data analysis. The data used are Landsat 8 images in 2014, 2018 and 2023 to analyze changes in forest areas and changes in land cover at the research location during that time period. The results of the research show that there has been a decrease in the area of forest and vegetated areas, that is in 2014 the area reached 17,207.9 hectares to 16,178.4 hectares in 2018 and 16,110.1 hectares in 2023. Meanwhile, the mine excavation area has increased from 1,792.3 hectares in 2014 to 2,005.4 hectares in 2023. Likewise, the area of built-up land and open land has increased from 3,509.3 hectares in 2014 to 4,370.7 hectares in 2023.
Pemetaan Penggunaan Lahan Desa Lendiang Liang Nayuq dengan Memanfaatkan Data Pendaftaran Tanah Sistematis Lengkap Tahun 2022
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.
Identifikasi Perubahan Penggunaan Lahan pada Sub DAS Karang Mumus Provinsi Kalimantan Timur
This research is motivated by the growth of population and its activities. The increasing population and the more intensive activities of people in a place have an impact on changes in land use. One thing shown is changes in the Karang Mumus River Watershed (DAS) sub-area in Samarinda. Samarinda is one of the cities that is developing with a population that is increasing every day and has a variety of urban activities which are not small, causing the need for space is also not small. This research aims to identify land use and land use changes in the Karang Mumus sub-watershed. The method used in this research is the Geographic Information System (GIS) method, to process and analyze data so as to obtain information, types of land cover, area and changes in land use in the Karang Mumus sub-watershed in 1990, 2000, 2011 and 2020. Results from this research, over the past three decades, there has been a significant decrease in the area of dry land forests, while residential areas and the mining sector have seen rapid growth. The loss of dry land forests potentially disrupts ecological functions, including carbon absorption and serving as habitats for various species, which can impact ecosystem health and biodiversity. The expansion of residential areas and mining without proper management and planning poses environmental risks, including erosion, pollution, and potential degradation of water resources and air quality.
Copyright (c) 2023 Journal of Geomatics Engineering, Technology, and Science https://creativecommons.org/licenses/by/4.0
Pemanfaatan Citra Sentinel-1 untuk Deteksi Kerusakan Akibat Gempa Bumi di Kabupaten Cianjur
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.