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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.
Pemetaan Penggunaan Lahan Desa Lendiang Liang Nayuq dengan Memanfaatkan Data Pendaftaran Tanah Sistematis Lengkap Tahun 2022 Herlan, Herlan; Kurniadin, Nia; Sutaji, Ahmad Aris Mundir; Suryalfihra, Shabri Indra
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.v2i2.34

Abstract

The research was motivated by the implementation of Complete Systematic Land Registration (PTSL) activities in Lendiang Liang Nayuq Village in 2022 to provide guarantees of legal certainty or rights to land owned by the community. PTSL activities have an impact on land use in Lendiang Liang Nayuq Village. Thus, it is necessary to utilize the results of these measurements to map land use. The aim of this research is to determine the area of Lendiang Liang Nayuq Village, the area of land that has been developed in the form of settlements, public facilities, plantations, and Cultivation Rights (HGU) in Lendiang Liang Nayuq Village, Siluq Nurai District, West Kutai Regency. The method used in this research is direct measurements in the field using GPS Geodetic HI-target v60 to obtain measuring field coordinates in the form of land use and village administrative boundaries. Next, digitization is carried out using GIS software. The results of this research showed that the number of fields measuring PTSL 2022 results in Lendiang Liang Nayuq Village, Siluq Ngurai District, West Kutai Regency was 314 fields, consisting of housing, public facilities, and plantations. Meanwhile, the land use area is 0.03% of the built-up land area in the form of settlements, 0.66% plantations, 0.09% public facilities, 25.51% Cultivation Rights and the remaining 73.71% is non-PTSL 2022 land.
Pemanfaatan Citra Sentinel-2 untuk Analisis Perubahan Kerapatan Vegetasi di Kecamatan Palaran Tahun 2019-2021 Kurniawan, M.; Kurniadin, Nia; Hasanudin, Hasanudin; Suryalfihra, Shabri Indra
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.v2i2.38

Abstract

Palaran is a sub-district in Samarinda City, East Kalimantan Province, with an area of approximately 221.29 km2. Palaran Sub-District is a place for various activities of residents and other areas around Samarinda City. These activities caused Palaran Sub-District to develop rapidly. The increasing need for housing is the cause of the conversion of green land as a vegetation area to other functions. Land conversion will increase along with population growth. The existence of vegetation in urban areas as green open space has many benefits, one of which is producing clean air. Apart from being an important element, vegetation also ensures that the ecosystem is not disturbed. The aim of this research is to determine changes in Vegetation Density in Palaran Sub-District and to determine the extent of changes in Vegetation Density in Palaran Sub-District. The Normalized Difference Vegetation Index (NDVI) method is used to analyze changes in vegetation density by utilizing Sentinel-2 imagery data recorded in 2019, 2020 and 2021. The results of the research are maps of changes in vegetation density and the magnitude of changes that occurred in Palaran Sub-District in 2019, 2020, 2021. Changes in density of high, medium, low, very low and non-vegetated vegetation from 2019 to 2021 respectively covering an area of 925.76 Ha, -160.52 Ha, -270.24 Ha, -654. 20 Ha, and 159.20 Ha. There was an increase in the density of high and unvegetated vegetation, as well as a decrease in the density of medium, low and very low vegetation. It is hoped that this information can be used as supporting data in efforts to control land conversion to maintain spatial planning and carrying capacity that is beneficial to the community.
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.
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.
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.
Studi Pergeseran Hasil Rekontruksi Batas dalam Kepentingan Persetujuan Penggunaan Kawasan Hutan: Study of Boundary Reconstruction Results in The Interest of Forest Area Approval Widyasasi, Dyah; Pramono, Dwi Agung; Hasanudin; Pratama, Yoga; Kurniadin, Nia; Rudi Djatmiko
Jurnal Loupe Vol 19 No 01 (2023): Edisi Juni 2023
Publisher : Jurusan Pertanian Politeknik Pertanian Negeri Samarinda Kampus Sei Keledang Jalan Samratulangi, Kotak Pos 192 Samarinda 75123

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/buletinloupe.v19i01.2091

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Latar belakang penelitian ini adalah banyaknya kasus mengenai sengketa batas yang timbul di suatu wilayah dimana di wilayah tersebut telah ditemukan sumber daya alam yang menguntungkan, misalnya pertambangan. Oleh karena itu diperlukannya rekonstruksi batas dan ditambah dengan proses pengukuhannya merupakan salah satu persyaratan teknis untuk mengajukan Izin Pinjam Pakai Kawasan Hutan. Tujuan dari studi ini untuk mengetahui dan mengumpulkan data informasi tentang pergeseran batas dengan wilayah studi di PT. Alamjaya Bara Pratama. Metode yang digunakan adalah RTK untuk stake out areal jalan dan pit terbuka. Untuk menuju titik awal menggunakan GPS handheld selanjutnya stake out untuk areal tertutup, proses pengolahan data menggunakan software ArcGIS. Berdasarkan hasil penelitian ini diperoleh orientasi rekonstruksi pal batas terdapat 281 pal batas terdiri dari 130 dengan kondisi bagus, 6 rusak, 138 hilang dan sisipan sebanyak 7 buah. Panjang batas yang direkonstruksi seluruhnya adalah 27.146,62 m (segmen A 5.800,11 m dan segmen B 376,68 m, segmen I dan 20.969,84 m).
Pelatihan Pelacakan Dan Pemasangan Tanda Batas Persil Tanah Masyarakat Desa Tanjung Batu, Kecamatan Tenggarong Seberang, Kabupaten Kutai Kartanegara Arifin, Dawamul; Kurniadin, Nia; Suryalfihra, Shabri Indra; Wumu, Romansah; Insanu, Radik Khairil; Fadlin, Feri; Prasetya, F. V. Astrolabe Sian
Sewagati Vol 9 No 2 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i2.2486

Abstract

Pelatihan Pelacakan dan Pemasangan Tanda Batas Persil Tanah di Desa Tanjung Batu, Kecamatan Tenggarong Seberang, Kabupaten Kutai Kartanegara, bertujuan untuk meningkatkan pemahaman masyarakat mengenai pentingnya tanda batas tanah dan cara pelacakannya. Kegiatan ini melibatkan metode sosialisasi, pelatihan, dan praktik langsung menggunakan alat GNSS Geodetik serta aplikasi berbasis Android. Hasilnya menunjukkan peningkatan pengetahuan peserta dalam pelacakan, pengukuran, dan pemasangan tanda batas. Diskusi dua arah mengidentifikasi kebutuhan mendesak akan informasi legalitas tanah. Post-test mengindikasikan kepuasan peserta terhadap pelatihan, yang berdampak pada persiapan masyarakat menyambut program PTSL (Pendaftaran Tanah Sistematis Lengkap). Pelatihan ini juga menjadi media aplikatif bagi mahasiswa dalam implementasi Merdeka Belajar Kampus Merdeka (MBKM).
Pemetaan Distribusi Kecepatan Arus Saluran Drainase Akibat Pasang Purnama (Spring Tide) Menggunakan HEC-RAS (Studi Kasus Ruas Jalan H. Hassan Alwie - Niaga Barat Kota Samarinda) Adiputra, Rio; Fadlin, Feri; Pramono, Dwi Agung; Kurniadin, Nia
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.v3i2.51

Abstract

The flow velocity patterns in drainage channels are crucial to study and understand in the context of water and environmental management. Drainage channels play a vital role in conveying rainwater and wastewater, often becoming a limited resource. A deep understanding of the flow velocity patterns in drainage channels is essential to manage water availability, reduce flood risks, and ensure good water quality. These flow velocity patterns are significantly influenced by the geometry, channel topography, water discharge, and other hydrological conditions. Advances in hydraulic modeling technology, such as the use of HEC-RAS software, have enabled more accurate and detailed hydraulic flow simulations. This hydraulic modeling technology is applied to address hydrological issues in the drainage channel on H. Hassan Alwie - Niaga Barat Street, Samarinda City, which frequently experiences water overflow, disrupting mobility and user safety. This study aims to determine the spring tide conditions on the flow velocity distribution in the drainage channel on H. Hassan Alwie - Niaga Barat Street, Samarinda City. Tidal data obtained from the Mahakam River during the spring tide period were used as input in modeling using HEC-RAS 6.5 software. The research results show significant variations in water level and flow velocity in the drainage channel during the spring tide period. The water level reached a maximum of 1.89 meters and a minimum of 0.01 meters, while the flow velocity varied between 0.03 m/s and 0.48 m/s. Mapping the flow velocity distribution revealed clear patterns, with areas of low flow velocity tending to accumulate sediment, potentially causing flooding. These findings provide a better understanding of the interaction between the spring tide phenomenon and urban drainage systems, which can be used to improve drainage planning and management in affected areas.
Society 5.0—Unlocking Entrepreneurial Competencies in Farmer Scope Achmad, Gusti Noorlitaria; Fitriansyah, Fitriansyah; Darma, Dio Caisar; Syachrani, Syaparliddin; Kurniadin, Nia
Jurnal Economia Vol. 21 No. 2 (2025): June 2025
Publisher : Faculty of Economics and Business, Universitas Negeri Yogyakarta in collaboration with the Institute for

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/economia.v21i2.76792

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This study was designed to investigate the relationship between Society 5.0 and the development of entrepreneurial competencies. The research employed a questionnaire-based interview involving 159 dragon fruit farmers in the Indonesian Capital City/Ibu Kota Nusantara (IKN). The collected questionnaire data were analyzed using moderated regression techniques. The results indicate a correlation between the proposed hypotheses and the findings, demonstrating that digital skills, understanding of information technology (IT), and relevant education significantly influence adaptive attitudes and mental readiness. Furthermore, both adaptive attitudes and mental readiness have a substantial effect on entrepreneurial competence. Digital skills, understanding of IT, and relevant education, when moderated by adaptive attitudes, can enhance entrepreneurial competence. However, mental readiness does not serve as a moderating factor. These findings contribute valuable insights to both academic discourse and practical policies aimed at enhancing farmers' entrepreneurial competencies within the framework of a sustainable Society 5.0.
Co-Authors A. Arifin Itsnani SM A. Arifin Itsnani SM Abimanyu , M. Faisal Adiputra, Rio Agum Gumelar AGUM GUMELAR, AGUM 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 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 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 Hasanudin Herlan Herlan Herlan, Herlan Ida Maratul Khamidah Itsnani SM, A. Arifin Jaelani, Lalu Muhamad Karim, Syafei 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 Rudi Djatmiko Ryo Anugrah Sandi Pranata 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 Wiwik Handayani Yoga Pratama Zulfha Diya Nur Ardzilla