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All Journal Jurnal Reka Lingkungan Jurnal Surya Masyarakat JURNAL GEOGRAFIKA (GEOGRAFI LINGKUNGAN LAHAN BASAH) Journal of Geomatics Engineering, Technology, and Science
Sofyan A. P., Andi Baso
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Journal : Journal of Geomatics Engineering, Technology, and Science

 1 
Analisis Spasial Sawah Kabupaten Sidenreng Rappang Menggunakan Data Landsat-8 Dengan Metode Random Forest Wumu, Romansah; Anugrah, Ryo; Kurniadin, Nia; Sofyan A. P., Andi Baso
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.v2i1.31

Abstract

Rice fields play a crucial role in ensuring food security in a region. However, a major challenge is preventing the conversion of rice fields, which can jeopardize food availability. Therefore, it is essential to rapidly and accurately map rice field areas to precisely detect changes. An effective approach involves remote sensing technology and cloud computing. This research aims to map rice fields in Sidenreng Rappang Regency using Landsat-8 data with the random forest method on the Google Earth Engine platform. This method has proven efficient in image classification and yields accurate land mapping. In this study, Landsat-8 data serves as the primary source, with random forest classifying areas as rice fields. The main finding indicates that the total area of rice fields in Sidenreng Rappang Regency reaches 51,480.43 hectares. Validation using data from the Central Statistics Agency (BPS) reveals a difference in area of 0.67%, while regression analysis demonstrates a strong correlation between mapping data and BPS data, with an R-squared value of 0.9455.
Pemetaan Deforestasi dan Perubahan Tutupan Lahan di Wilayah Pertambangan Nikel Kecamatan Pomalaa Memanfaatkan Teknologi Penginderaan Jauh Sofyan A. P., Andi Baso; Fadlin, Feri; Arifin, Dawamul; Insanu, Radik Khairil; 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.v2i2.35

Abstract

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

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 Padatuan, Austro Yoris; Kurniadin, Nia; Widyasasi, Dyah; Sofyan A. P., Andi Baso
Journal of Geomatics Engineering, Technology, and Science Vol. 3 No. 1 (2024): September 2024
Publisher : P3KM Politani 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.
Pemanfaatan Citra Satelit dan Foto Udara untuk Pemetaan Pola Ruang di Desa Bunga Jadi Kecamatan Muara Kaman Alfianur, Muhammad; Sofyan A. P., Andi Baso; Arifin, Dawamul; Suryalfihra, Shabri Indra; Gaffar, Siti Hutami Adianengsih
Journal of Geomatics Engineering, Technology, and Science Vol. 3 No. 1 (2024): September 2024
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v3i1.45

Abstract

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.
Pemetaan Perubahan Tutupan Lahan Dengan Metode Supervised Classification Menggunakan Citra Landsat 8-9 di Kecamatan Sepaku Tahun 2014 dan 2024 Musdalifah, Musdalifah; Sofyan A. P., Andi Baso; Widyasasi, Dyah; Wumu, Romansah; Gaffar, Siti Hutami Adianengsih
Journal of Geomatics Engineering, Technology, and Science Vol. 3 No. 1 (2024): September 2024
Publisher : P3KM Politani Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v3i1.46

Abstract

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

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 Arham, Yunadi; Arifin, Dawamul; Fadlin, Feri; Sofyan A. P., Andi Baso
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.v3i2.53

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 Savitri, Shal Sha Nur Sabilla; Kurniadin, Nia; Sutaji, Ahmad Aris Mundir; Sofyan A. P., Andi Baso
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 Adnan Putra Pratama Alfianur, Muhammad Anugrah, Ryo Arham, Yunadi Artati, Yuniar Dawamul Arifin Dito Aditia Darma Nasution Fadlin, Feri Farida Aryani Fasabbih, Tsalji Dzakira Gaby Nanda Kharisma Gaffar, Siti Hutami Adianengsih Maulana S., Fuad Agung Maulana, Achmad Zidane Mika Debora Br Barus Muhammad Rizqy Septyandy Musdalifah Musdalifah Nia Kurniadin Padatuan, Austro Yoris Pramono, Dwi Agung Radik Khairil Insanu Rahman, Mujibu Romansah Wumu Sardan, Ferry Nicky Adrian Savitri, Shal Sha Nur Sabilla Shabri Indra Suryalfihra Suriani, Lili Sutaji, Ahmad Aris Mundir Widyasasi, Dyah Zamroni, Ahmad