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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%.
Analisis Urban Heat Island Kota Samarinda Menggunakan Citra Landsat 9 Pada Musim Kemarau Tahun 2025 Romansah Wumu; Nia Kurniadin; F. V. Astrolabe Sian Prasetya; Shabri Indra Suryalfihra; Dawamul Arifin
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.
Decadal Chlorophyll-a Dynamics and Trophic Status of Mahakam Delta Coastal Waters (2014–2024) Romansah Wumu; Suparjo Suparjo; Karno Karno; Nia Kurniadin
Poltanesa Vol 27 No 1 (2026): June 2026
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v27i1.3804

Abstract

Chlorophyll-a (Chl-a) is a key proxy for assessing phytoplankton biomass and trophic status of coastal waters. This study analyzes spatiotemporal Chl-a dynamics across three Areas of Interest (AOIs) in the Mahakam Delta coastal waters, East Kalimantan, Indonesia: Delta Mahakam (DM), Muara Badak-Marangkayu (MB), and Muara Jawa-Samboja (MJ). Monthly Chl-a data from the Copernicus Marine Ocean Color V6 (CMEMS) product were processed through Google Earth Engine from 2014 to 2024. DM recorded the highest mean Chl-a (5.30 ± 1.02 mg/m³), followed by MJ (3.01 ± 0.83 mg/m³) and MB (1.76 ± 0.60 mg/m³). Under OECD classification, DM was dominantly mesotrophic, MB oligotrophic, and MJ showed the only statistically significant increasing trend (R² = 0.518, p = 0.013). Chl-a peaked during the rainy season (October–March), driven by monsoonal riverine nutrient pulses. HYCOM surface currents confirmed that monsoon reversals modulate coastal phytoplankton distribution. These findings provide baseline data for coastal ecosystem monitoring and marine spatial planning in East Kalimantan.
Geographic Information System of Contraceptives Users in Samarinda Seberang Sub-District Muhammad Renaldi Arianda; Ida Maratul Khamidah; Nia Kurniadin
TEPIAN Vol. 2 No. 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i4.675

Abstract

Birth Control “Keluarga Berencana” (KB) is a government program designed to balance the needs and population. Birth Control is an attempt to measure the number of children and the desired birth spacing of children. Therefore, the Government launched a program or method to prevent and delay pregnancy. Therefore, the purpose of this study is to create a geographic information system for data collection of contraceptive users based on a website that is useful as a place to store data on contraceptive users and information maps as a benchmark for the achievement of Birth Control instructors in the area of ​​Samarinda opposite. The results of this study that the existence of this geographic information system website, besides being able to assist the public in obtaining information about contraceptives, can also assist the work of Birth Control instructors in the regions, especially in the Samarinda Seberang area in recording Birth Control users in their working areas and as a step to help reduce paper use and modernization from the old system.
Development of Spatial Models in Making Decisions on Suitable Area for Smart Farming at Agriculture Polytechnic of Samarinda F. V. Astrolabe Sian Prasetya; Nia Kurniadin; M. Faisal Abimanyu
TEPIAN Vol. 4 No. 3 (2023): September 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v4i3.2623

Abstract

In the context of fulfilling food, especially for agricultural and plantation commodities in East Kalimantan and fulfilling the Agriculture Polytechnic of Samarinda research strategic plan on Strengthening the Application of GIS and Remote Sensing for Land Management in the Agro-Ecosystem Zone, it is necessary to conduct studies related to determining suitable locations for smart farming in the location of the Agriculture Polytechnic of Samarinda. The closest technique in this study is to make a land model that is suitable for smart farming. The model was created by utilizing spatial data derived from remote sensing data, and also analyzed using GIS techniques. Several agricultural and plantation commodities have criteria as conditions for growth that must be met for each commodity. These parameters are conditions of humidity, temperature, and intensity of sunlight, where these data can be extracted from remote sensing data. By utilizing the NDVI, NDMI, and LST algorithms, as well as shadow analysis at the time of irradiation, it will be possible to model an area suitable for smart farming. By using spatial data from sentinel 2 and applying the NDMI, NDVI, and LST algorithms, it can be determined specifically which areas are suitable for several agricultural and plantation commodities. From the results of this study, it was found that several commodities could grow optimally in almost every location at the Agriculture Polytechnic of Samarinda, such as for the commodities of strawberry, rubber crop and robusta coffee. As for the commodities of Mustard Greens, Pepper, Cocoa, and Arabica Coffee, they are not suitable for planting in the Agriculture Polytechnic of Samarinda.
Co-Authors A. Arifin Itsnani SM A. Arifin Itsnani SM Adiputra, Rio Agum Gumelar AGUM GUMELAR, AGUM Agustin, Sinthia Putri Ahmad Aris Mundir Sutaji Akhmad Maulidi Amelia, Annisa Andi Baso Sofyan A.P Andi Nur Rahman Anggraini Anggraini Annafiyah Annisa Amelia Anugrah, Ryo Arida Vania Firdaus Aries Sulisetyono Arsya Farky Fadjuani Artanti Tustika Auliana Diah Wilujeng Ayub Artha Christ Tiyawarman Azzahro, Namira Nur Dawamul Arifin Dawamul Arifin Dian Pratiwi Nurdin Dio Caisar Darma Dwi Agung Pramono Dwi Agung Pramono Dyah Widyasasi Eddy Setyo Koenhardono, Eddy Setyo Eko Junirianto Eny Maria F. V. Astrolabe Sian Prasetya F. V. Astrolabe Sian Prasetya Fadlin , Feri Fadlin, Feri Feri, Wawan Firdaus, Arida Vania Fitriansyah, Fitriansyah Gandung Sugita Gusti Noorlitaria Achmad Hadi, Pravasta Kiko Setiawan Hasanudin Hasanudin Hasanudin Hasanudin Hasanudin Herlan Herlan Herlan, Herlan Ida Maratul Khamidah Itsnani SM, A. Arifin Jaelani, Lalu Muhamad Karim, Syafei Karno Karno M. Faisal Abimanyu M. Kurniawan M. Kurniawan, M. Milatus Sholihah Mukarromah Muhammad Faisal Bashiir Muhammad Havit Pratama Muhammad Renaldi Arianda Muhammad Rizki Muhammad Rizki Muhammad Yani Muhammad Yani, Muhammad Muslim, Taufan Yanuar Namira Nur Azzahro Nurgiantoro, Nurgiantoro Padatuan, Austro Yoris Pamungkas, Adjie Pramono, Dwi Agung Pratama, Muhammad Havit Pratiwi Wijayanti Radik Khairil Insanu Rahman, Andi Nur Rahmawati, Andriani Nadia Resti Limehuwey Rofikhotul Khoeriyah Romansah Wumu Romansah Wumu Romansah Wumu Rudi Djatmiko Ryo Anugrah Salsabillah, Audi Qhoryaty Sandi Pranata Savitri, Shal Sha Nur Sabilla Shabri Indra Suryalfihra Shabri Indra Suryalfihra Sofyan A. P., Andi Baso Suparjo Sutaji, Ahmad Aris Mundir Syachrani, Syaparliddin Taufan Yanuar Muslim Tiyawarman, Ayub Artha Christ Tustika, Artanti Widyasasi, Dyah Yansi, Muhammad Adry Yoga Pratama Yuannita, Yuannita Zulfha Diya Nur Ardzilla