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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.
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.
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.
Analisis Karakteristik Morfometri Sub DAS Karang Mumus Menggunakan Aplikasi HEC-HMS Ariningsih, Astutik; Fadlin, Feri; Pramono, Dwi Agung; Suryalfihra, Shabri Indra
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.v3i2.52

Abstract

The Karang Mumus sub-watershed is located in an urban area, making it vulnerable to development pressures and land use changes. Morphometric analysis of the Karang Mumus sub-watershed plays a crucial role in understanding the physical characteristics of the area and their relationship to water resource management and flood disaster mitigation in Samarinda City and its surrounding regions. This study aims to examine the morphometric characteristics of the Karang Mumus sub-watershed through the processing of DEMNAS data using the HEC-HMS 4.10 application. The results show that the Karang Mumus sub-watershed is divided into 15 sub-sub-watersheds, with a total area of 318.98 km². The sub-sub-watershed with the longest river channel is sub-sub-watershed 1, with a channel length of 18.57 km, while the shortest is sub-sub-watershed 12, with a channel length of 1.05 km. The average slope/gradient of the main river channel in the Karang Mumus sub-watershed is 0.15 m/m. The drainage density index of the Karang Mumus sub-watershed falls into the medium classification (0.25–10 km/km²). In terms of shape, the Karang Mumus sub-watershed is classified as elongated, with a Roundness Coefficient (RC) of 0.03 km. 
Spatiotemporal Detection of Land Cover Dynamics in Forests and Food Sources in Supporting the Nusantara Capital City of Indonesia Kiswanto; Mardiany; Gunawan, Ike Anggraeni; Nurrachmawati, Annisa; Pramono, Dwi Agung; Widyasasi, Dyah
Jurnal Sylva Lestari Vol. 13 No. 2 (2025): May
Publisher : Department of Forestry, Faculty of Agriculture, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jsl.v13i2.1098

Abstract

The relocation of Indonesia's capital from Jakarta to Nusantara in East Kalimantan Province has significantly affected land use, particularly in forests and agricultural resources. This study examines the spatiotemporal dynamics of land cover in the forestry and agricultural sectors within Kutai Kartanegara Regency of East Kalimantan Province. The goal is to support the smart forest city concept and enhance food sources within Ibu Kota Nusantara (IKN). Data related to geographical (location) and temporal (time) were analyzed using Geographic Information System (GIS) tools, enabling the mapping, overlaying, and analyzing spatial data over time. The findings show that Kutai Kartanegara has 30% forested areas and 7% agricultural land. There are eight districts with dryland forests, seven with mangrove forests, and fourteen with swamp forests. The study identifies fourteen districts nominated for dryland agriculture, nine for rice fields, and seven for aquaculture. However, forest cover in both drylands and wetlands has been declining annually. Additionally, the study pinpointed potential areas for urban forest development in Tabang District and locations for food production in Anggana, Samboja, and Muara Badak. The findings provide actionable insights for policymakers to optimize land allocation, ensuring sustainable resource management in the evolving ecosystems of the new capital. Keywords: IKN, land cover, food source, forestry, spatiotemporal
Pemetaan Tutupan Lahan Di Desa Bukit Raya Kecamatan Tenggarong Seberang Menggunakan Citra Sentinel 2A Gumelar, Agum; Widyasasi, Dyah; Suparjo; Pramono, Dwi Agung; Kurniadin, Nia
Poltanesa Vol 23 No 1 (2022): Juni 2022
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v23i1.956

Abstract

The purpose of this study was to make a land cover map and determine the condition of land cover in Bukit Raya Village, Tenggarong Seberang District.The method used in this study is the use of remote sensing Sentinel 2A for land cover mapping with a guided method using sample digitization on the screen for sampling in the land cover classification process. After using the supervised classification data obtained in the form of vector data that must be combined first before being used as a layout map.Results Based on the research, information was obtained about the process of making land cover maps in Bukit Raya Village, Tenggarong Seberang District and Land Cover Maps in Bukit Raya Village, Tenggarong Seberang District. The result of the area of ​​each land cover class is Agricultural Land with an area of ​​426.9 Ha,Air with an area of ​​138.2 Ha, Urban with an area of ​​176.1 Ha, Forest Land with an area of ​​391.7 Ha, Barren land with an area of ​​2 Ha, Industry 49.7 Ha, Transportation 59 Ha.
Pemantauan Perubahan Total Suspended Solid di Sungai Mahakam Kota Samarinda Menggunakan Citra Satelit Sentinel-2 Tahun 2018, Tahun 2021, dan Tahun 2024 Agustin, Sinthia Putri; Kurniadin, Nia; Pramono, Dwi Agung; Suryalfihra, Shabri Indra
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.v4i1.56

Abstract

This research is motivated by the importance of the Mahakam River as a vital source of livelihood and economic activity in the city of Samarinda, where water quality requires special attention. One of the key parameters in determining water quality is Total Suspended Solids (TSS), which indicates the amount of suspended particles in the water and affects both water clarity and aquatic ecosystems. Conventional water quality monitoring methods are often time-consuming and costly. Therefore, remote sensing technology using Sentinel-2 satellite imagery provides a more efficient alternative for monitoring TSS changes in the Mahakam River over time. Based on the analysis of Total Suspended Solids (TSS) using the Budhiman and Parwati algorithms in the Mahakam River, it was found that TSS values changed during the period from 2018 to 2024. In 2018, TSS values based on the Budhiman algorithm ranged from 101.4181 mg/L to 151.0301 mg/L, while the Parwati algorithm showed a range from 125.1161 mg/L to 221.8730 mg/L. The highest TSS level in 2018 was recorded at STA 06 according to both algorithms. In 2021, the highest TSS value based on the Budhiman algorithm reached 538.0830 mg/L at STA 17, while the Parwati algorithm recorded a peak of 897.9948 mg/L at STA 01. In 2024, the Budhiman algorithm noted a significantly high value of 227.9285 mg/L at STA 21, while the Parwati algorithm showed the highest value of 954.8387 mg/L at STA 04.