cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Andi Baso Sofyan A. P
Contact Email
jurnalgets@gmail.com
Phone
+6282393333534
Journal Mail Official
jurnalgets@gmail.com
Editorial Address
Program Studi Teknologi Geomatika Gedung G, Politeknik Pertanian Negeri Samarinda Jl. Samratulangi Samarinda
Location
Kota samarinda,
Kalimantan timur
INDONESIA
Journal of Geomatics Engineering, Technology, and Science
Published by Politeknik Pertanian Negeri Samarinda
ISSN : 28301811     EISSN : 2988523X     DOI : -
Core Subject : Science, Social, Engineering,
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science
GETS: Journal of Geomatics, Technology, and Science published by Geomatics Technology Study Program, Department of Engineering and Informatics, Samarinda State Agricultural Polytechnic. The publication of the first edition in 2022, apart from being evidence of the increasing appreciation for self-development and contribution to the development of studies in geodesy and geomatics, also informs that this GETS Journal will be published regularly twice in a year, namely in March and September. We as managers also always make improvements and improvements so that this GETS Journal can be recognized nationally and internationally. In Volume 01 Number 01 September 2022, the GETS Journal presents a number of articles containing research articles related to the fields of Mapping, Geospatial Information, and also applications to website or mobile-based Geographic Information Systems. This first journal contains 5 (five) articles related to geodesy/geomatics engineering disciplines. Some of the articles that we have published in this edition are expected to contribute to the development of geodetic/geomatic engineering disciplines in Indonesia and in East Kalimantan in particular. The editors would like to thank the contributors and partners in this edition of the GETS Journal, some of whom have waited a long time for their articles to be published in the first edition in 2022. Once again, I hope that this journal will be useful for readers and will generate fresh and new ideas for developments in the field of surveying and mapping. The editors also expect input and submission of academic manuscripts and scientific writings that will enrich the repertoire of geodesy and geomatics studies
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 3 Documents
 1 
Search results for , issue "Vol. 4 No. 2 (2026): March 2026" : 3 Documents clear
Evaluasi Pemanfataan Foto Udara untuk Perhitungan Volume StockROM 74 di PT Mitra Indah Lestasi Salsabillah, Audi Qhoryaty; Kurniadin, Nia; Pramono, Dwi Agung; Fadlin, Feri
Journal of Geomatics Engineering, Technology, and Science Vol. 4 No. 2 (2026): March 2026
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v4i2.65

Abstract

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%.
Hydrological Modeling and GIS-Based Drainage Design for Urban Flood Management in Edaiken, Benin City, Nigeria Stephen Olushola Oladosu; Esther Carlie Joshua; Bright Odion Akenbor
Journal of Geomatics Engineering, Technology, and Science Vol. 4 No. 2 (2026): March 2026
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v4i2.67

Abstract

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
Analisis Urban Heat Island Kota Samarinda Menggunakan Citra Landsat 9 Pada Musim Kemarau Tahun 2025 Wumu, Romansah; Kurniadin, Nia; Prasetya, F. V. Astrolabe Sian; Suryalfihra, Shabri Indra; Arifin, Dawamul
Journal of Geomatics Engineering, Technology, and Science Vol. 4 No. 2 (2026): March 2026
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v4i2.68

Abstract

Urban Heat Island (UHI) is a phenomenon where urban areas exhibit significantly higher surface temperatures compared to surrounding rural regions, driven by land use transformation and reduced vegetation cover. This study analyzes the UHI phenomenon in Samarinda City, East Kalimantan, using Landsat 9 OLI-2/TIRS-2 imagery (Collection 2, Level 2) processed through Google Earth Engine (GEE). The analysis covers May–October 2025 (dry season) using a median composite of two cloud-free scenes. Land Surface Temperature (LST) was extracted using the Single-Channel Algorithm with NDVI-based emissivity correction. Spectral indices NDVI, NDBI, and MNDWI were computed to examine their relationships with LST. UHI intensity was classified into five categories based on mean ± standard deviation thresholds. Results indicate a mean LST of 36.79°C (range: 12.35–60.69°C). High and Very High UHI classes cover 131.31 km² (21.13%) of the city area, concentrated in Samarinda Kota sub-district (mean LST 45.01°C). Correlation analysis using 90 random sampling points reveals NDBI as the strongest LST predictor (r = +0.72), while NDVI shows a moderate negative correlation (r = −0.35). These findings provide spatial evidence for urban heat mitigation strategies, particularly through green space enhancement and built-up density control in high-intensity UHI zones.

Page 1 of 1 | Total Record : 3

 1 

Filter by Year

2026 2026


Reset
Filter By Issues
All Issue Vol. 4 No. 2 (2026): March 2026 Vol. 4 No. 1 (2025): September 2025 Vol. 3 No. 2 (2025): March 2025 Vol. 3 No. 1 (2024): September 2024 Vol. 2 No. 2 (2024): March 2024 Vol. 2 No. 1 (2023): September 2023 Vol. 1 No. 2 (2023): March 2023 Vol. 1 No. 1 (2022): September 2022