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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
ISSN : 28301811     EISSN : 2988523X     DOI : -
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
Articles 6 Documents
Search results for , issue "Vol. 3 No. 1 (2024): September 2024" : 6 Documents clear
Identifikasi Deforestasi di Provinsi Kalimantan Timur Tahun 1990 dan 2020 Menggunakan Sistem Informasi Geografis Rahmawati, Andriani Nadia; Fadlin, Feri; Suparjo, Suparjo; Kurniadin, Nia
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.v3i1.41

Abstract

This research is motivated by the abundance of resources available in Indonesia's forests. However, it is undeniable that the forest resources in Indonesia have a promising economic function, particularly in the form of timber or tree trunks that hold economic value, leading to timber exploitation that can result in deforestation. One example of this is the deforestation occurring in East Kalimantan Province, where both production forest areas and protected forest areas are experiencing gradual deforestation each year. This study aims to understand land use and identify deforestation in East Kalimantan Province in the years 1990 and 2020. The method used in this research is Geographic Information System (GIS) to process and analyze data, thereby obtaining information on land use types, area, and deforestation in East Kalimantan Province for the years 1990 and 2020. The results of this research include maps and data on deforestation in East Kalimantan Province for the years 1990 and 2020. Land use in East Kalimantan Province is classified into 21 land use classes, namely primary dryland forest, secondary dryland forest, primary mangrove forest, secondary mangrove forest, primary swamp forest, secondary swamp forest, plantation forest, plantations, shrubland, swamp shrubland, mixed dryland agriculture with shrubs, dryland agriculture, transmigration areas, settlements, open land, rice fields, ponds, water bodies, swamps, airports, and mining. There are four dominant land use change types related to deforestation: first, four types of forest land have changed to swamp shrubland; second, two types of forest land have changed to mixed dryland agriculture with shrubs; third, two types of forest land have changed to ponds; and fourth, two types of forest land have changed to mining.
Pemetaan Pola Arus Sungai Mahakam Kabupaten Kutai Kartanegara Menggunakan Software ArcGIS Wardani, Fevrin; Fadlin, Feri; Insanu, Radik Khairil; Pramono, Dwi Agung
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.v3i1.42

Abstract

This research is undermined by the dynamics of the current patterns of the Mahakam River, which is a crucial element in understanding the waters including the safety of the river transportation. The method used in this study is to take field data horizontally using the Current Meter tool, which is then continued with the analysis process with the help of ArcGIS software. The results of the research show that the speed patterns and direction of the flow of the river have different significance in each depth, as for the direction pattern of the current of the Mahakam River dominates from top to bottom, the cause of the occurrence of different direction of flow due to the topographic factors of the base river.
Studi Perbandingan Luas Bidang Tanah Hasil Identifikasi Foto Udara dengan Pengukuran Terestris dalam Menunjang Kegiatan Pendaftaran Tanah Sistematik Lengkap (PTSL) Pamungkas, Bagas Oriza Pramudya; Arifin, Dawamul; Sutaji, Ahmad Aris Mundir; Insanu, Radik Khairil
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.v3i1.43

Abstract

This study aims to compare and evaluate the accuracy of land area measurement through aerial photo identification with direct field/ terestrial measurements using Geodetic GPS. This is useful for determining the most efficient and accurate method to support the acceleration of the Complete Systematic Land Registration (PTSL) program. Based on the measurement activities and data analysis, the largest coordinate discrepancy between aerial photo identification and direct measurement using Geodetic GPS was found in land parcel 10, with a difference of 0.88031550. The smallest discrepancy was observed in land parcel 7, with a difference of 0.06694568. The total coordinate discrepancy across the measurement of 10 land parcels was 3.92, with an average discrepancy of 0.35. The Root Mean Square Error (RMSE) value was 0.59. Furthermore, the field measurement results showed that direct field measurement using Geodetic GPS produced highly accurate land area data. The discrepancy between the land area proposed by the applicant and the direct measurement results had an average difference of only 0.7 m². Meanwhile, the measurement results of land area through aerial photo identification showed a larger average discrepancy compared to the land area proposed by PTSL applicants, with an average difference of 10.8 m².
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.

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