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Itsnani SM, A. Arifin
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Journal : Journal of Geomatics Engineering, Technology, and Science

 1 
Pemanfaatan Citra Sentinel-1 untuk Deteksi Kerusakan Akibat Gempa Bumi di Kabupaten Cianjur Firdaus, Arida Vania; Kurniadin, Nia; Itsnani SM, A. Arifin; Arifin, Dawamul
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 1 (2023): September 2023
Publisher : P3KM Politani Samarinda

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

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.
Perhitungan Tonase Stockpile Batubara Metode Cut and Fill Menggunakan Aplikasi Minescape Itsnani SM, A. Arifin; Riansyah, Riansyah; Sutaji, Ahmad Aris Mundir
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 2 (2024): March 2024
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i2.36

Abstract

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

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

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.
Perhitungan Jumlah Volume Tonase Batubara di PT Ansaf Inti Resources Kutai Kartanegara Angelina, Elok Aulia Noor; Sutaji, Ahmad Aris Mundir; Itsnani SM, A. Arifin; Insanu, Radik Khairil
Journal of Geomatics Engineering, Technology, and Science Vol. 3 No. 2 (2025): March 2025
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v3i2.48

Abstract

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%  
Perancangan WebGIS Penyebaran Lapangan Olahraga Bulutangkis di Kota Samarinda Menggunakan Quantum GIS dengan Plugin NextGIS Connect Purba, Mentari Maruba Nasib; Suryalfihra, Shabri Indra; Sutaji, Ahmad Aris Mundir; Itsnani SM, A. Arifin
Journal of Geomatics Engineering, Technology, and Science Vol. 4 No. 1 (2025): September 2025
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v4i1.55

Abstract

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
Identifikasi Kondisi Drainase Berbasis WebGIS di Jalan Pangeran Antasari Kota Samarinda Junianto, Fernando Dwio; Suryalfihra, Shabri Indra; Fadlin, Feri; Itsnani SM, A. Arifin
Journal of Geomatics Engineering, Technology, and Science Vol. 4 No. 1 (2025): September 2025
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v4i1.59

Abstract

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
Co-Authors Angelina, Elok Aulia Noor Dawamul Arifin Fadlin, Feri Firdaus, Arida Vania Junianto, Fernando Dwio Nia Kurniadin Purba, Mentari Maruba Nasib Radik Khairil Insanu Riansyah, Riansyah Romansah Wumu Shabri Indra Suryalfihra Sutaji, Ahmad Aris Mundir Tiyawarman, Ayub Artha Christ