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All Journal Journal of Geomatics Engineering, Technology, and Science
Andi Baso Sofyan A. P.
Program Studi Teknologi Geomatika, Politeknik Pertanian Negeri Samarinda, Kota Samarinda
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science

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Pemetaan Kerusakan Jaringan Jalan Poros Samarinda - Melak Kabupaten Kutai Barat Ferry Nicky Adrian Sardan; Dawamul Arifin; Shabri Indra Suryalfihra; Romansah Wumu; Andi Baso Sofyan A. P.
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.v2i2.40

Abstract

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.
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 Perubahan Kerapatan Vegetasi Mangrove di Kabupaten Berau Tahun 2019 – 2023 dengan Metode Normalized Difference Vegetation Index (NDVI) Tsalji Dzakira Fasabbih; Dwi Agung Pramono; Feri Fadlin; Andi Baso Sofyan A. P.
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.v3i2.50

Abstract

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.
Perbandingan Pengamatan Benchmark Menggunakan Alat Spectra SP80 dan Comnav T300 dengan Software Trimble Business Center Yunadi Arham; Dawamul Arifin; Feri Fadlin; Andi Baso Sofyan A. P.
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.v3i2.53

Abstract

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.
Pemetaan Perubahan Tutupan Lahan di Kota Baubau Provinsi Sulawesi Tenggara Tahun 2015, 2019, dan 2023 Shal Sha Nur Sabilla Savitri; Nia Kurniadin; Ahmad Aris Mundir Sutaji; Andi Baso Sofyan A. P.
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.v4i1.63

Abstract

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.
Co-Authors Ahmad Aris Mundir Sutaji Austro Yoris Padatuan Dawamul Arifin Dwi Agung Pramono Dyah Widyasasi Feri Fadlin Ferry Nicky Adrian Sardan Nia Kurniadin Romansah Wumu Shabri Indra Suryalfihra Shal Sha Nur Sabilla Savitri Tsalji Dzakira Fasabbih Yunadi Arham