Article Per Year (5 Year)
p-Index From 2021 - 2026
2.42
P-Index
This Author published in this journals
All Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Tunas Geografi REKA GEOMATIKA Rekayasa Sipil Journal of Science and Applicative Technology Jurnal Geografi Jurnal Geografi, Edukasi dan Lingkungan Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital International Journal of Remote Sensing and Earth Sciences (IJReSES) J SIG (Jurnal Sains Informasi Geografi) Celebes Abdimas: Jurnal Pengabdian Kepada Masyarakat INTEGRITAS : Jurnal Pengabdian Jurnal ABDINUS : Jurnal Pengabdian Nusantara JURNAL GEOGRAFI Geografi dan Pengajarannya Geosfera Indonesia Jurnal Geosaintek The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Simarmata, nirmawana
Department Of Geomatics Engineering, Faculty Of Infrastructure And Regional, Institut Teknologi Sumatera
Agriculture, Biological Sciences & Forestry Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 26 Documents
Search

 1   2   3 
Assessing Urban Land Surface Temperature Fluctuations Amidst the Covid-19 Pandemic: A Landsat 8 and Landsat 9 Study of Bandar Lampung City Simarmata, Nirmawana; Santo, A Ki Asmoro
Tunas Geografi Vol. 12 No. 2 (2023): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v12i2.51078

Abstract

Community activities before, during, and after the Covid-19 pandemic have undergone significant changes. This is due to the limitation and exemption of activities set by the government which can also result in changes in surface temperature. Physical separation from the Large-Scale Social Restrictions (PSBB) has led to a decrease in communal activities like traffic and the industrial sector, which has a policy of allowing most employees to work from home. This study intends to examine variations in Bandar Lampung surface temperature that took place in 2020, 2021, and. Identifying surface temperature using remote sensing technology, including Landsat 8 and Landsat 9 images. Both of these images have advantages with a large number of bands, especially the presence of a Thermal Infrared Sensor (TIRS) wavelength which has a sensitivity to detect temperature. Utilization of this wavelength can distinguish parts of the earth's surface that have a hotter temperature than the surrounding area. The land surface temperature (LST) approach can be used to determine the dynamics of surface temperature variations before, during, and after the Covid-19 epidemic. Image processing and analysis are done using Google Earth Engine. The results of the analysis of surface temperatures before Covid, the image recording time in 2020 has a value range of 13oC - 32oC, during the occurrence of Covid, the 2021 recording time has a value range of 3oC - 33oC, while after Covid, the 2022 recording time has a value range of 18oC - 32oC.Keywords: Covid-19, Landsat 8, Landsat 9, LST
PREDICTIVE MAPPING OF CRITICAL LAND IN BENGAWAN SOLO WATERSHED: AN INTEGRATED APPROACH USING LANDSAT IMAGERY AND TERRAIN ANALYSIS Nirmawana Simarmata; Dewi Nawang Sari; Annisha Bunga Fathya; M Sri Harta
International Journal of Remote Sensing and Earth Sciences Vol. 21 No. 1 (2024)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2024.v21.a3907

Abstract

Inappropriate land use can have negative impacts, increasing the risk of land becoming critical. Managing critical land and growing human needs is essential to balance land and water resources. This research aims to map necessary land in the Bengawan Solo watershed. The research method integrates remote sensing and geographic information system (GIS) methods. Critical land analysis was conducted based on the Regulation of the Director General of Watershed and Protected Forest Control Number P.3/PDASHL/SET/KUM.1/7/2018, which is used as a reference in determining whether land is categorized as critical land. The regulation uses 4 (four) variables in its processing: land cover variables, slope, erosion hazard level, and forest area. The study results show land criticality in the Bengawan Solo watershed in 2023. Most areas have low slopes (0-8%), considered non-critical, covering 30.50% of the total area. In contrast, the Potentially Critical category (8-15%) dominates with 45.94% of the area, indicating potential risks in moderately steep areas. Areas with steeper slopes fall into the Critical (10.29%) and Very Critical (2.68%) categories.
THE UTILIZATION OF REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS FOR ANALYSIS OF LAND SUITABILITY FOR THE GROWING OF CIPLUKAN (PHYSALIS ANGULATA L.) Nur Adliani; Nirmawana Simarmata; Heriansyah
International Journal of Remote Sensing and Earth Sciences Vol. 16 No. 1 (2019)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/ijreses.v16i1.13830

Abstract

Remote sensing data and geographic information systems are widely used for land suitability analysis for crops such as coffee and corn. This study aims to analyze and map suitable land for the plant known locally as ciplukan (Physalis angulata L.). Â As the cultivation of this plant is expected to be developed by the Institute of Technology of Sumatra, analysis of this type is needed. The parameters used in this study were slope, land use, rainfall and soil type. Information extraction from remote sensing data was carried out via visual interpretation of aerial photography used to create land-cover maps. Shuttle RADAR Topographic Mission (SRTM) data was converted from digital surface model (DSM) to digital terrain model (DTM) to provide elevation information. Land suitability analysis was performed using a scoring method and overlay analysis. The results obtained from the analysis identified several classes of land suitability for Physalis angulata L., categorized as suitable, less suitable, and not suitable. The less suitable class, scored at 9 to 11, comprised a total area of 180.96 ha, while the suitable area, scored at 12, comprised a total area of 49.1 ha.
Advanced Machine Learning Techniques for Tidal Marsh Classification: A Random Forest Approach using Sentinel-2A Simarmata, Nirmawana; Wikantika, Ketut; Darmawan, Soni; Harto, Agung Budi
Geosfera Indonesia Vol. 9 No. 3 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i3.52186

Abstract

Tidal marshes play a vital role in coastal ecosystems, functioning in climate change mitigation, water filtration, and protection from coastal erosion. However, mapping and monitoring of these ecosystems is often hampered by difficult accessibility and dynamic environmental conditions. This research aims to improve tidal marsh classification accuracy by applying a Random Forest (RF) algorithm supported by Sentinel-2A satellite imagery. This image provides various spectral parameters and vegetation indices, including B1, GNDVI, BSI, and NDWI. Three RF models with varying parameters were tested to determine their effectiveness in tidal marsh classification. The model with 26 parameters (Model 3) performed best, with the lowest RMSE value of 0.22, the highest AUC of 0.87, and the highest overall accuracy of 95%. These results show that combining critical spectral parameters in the RF model can significantly improve the classification accuracy and biomass estimation in tidal marshes. This study also confirmed the effectiveness of Random Forest in addressing the challenges of high-accuracy mapping and monitoring. These findings provide a solid foundation for tidal marsh ecosystem conservation and management applications and support the application of machine learning in coastal ecosystem mapping for better and more accurate results.
Advanced Machine Learning Techniques for Tidal Marsh Classification: A Random Forest Approach using Sentinel-2A Simarmata, Nirmawana; Wikantika, Ketut; Darmawan, Soni; Harto, Agung Budi
Geosfera Indonesia Vol. 9 No. 3 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i3.52186

Abstract

Tidal marshes play a vital role in coastal ecosystems, functioning in climate change mitigation, water filtration, and protection from coastal erosion. However, mapping and monitoring of these ecosystems is often hampered by difficult accessibility and dynamic environmental conditions. This research aims to improve tidal marsh classification accuracy by applying a Random Forest (RF) algorithm supported by Sentinel-2A satellite imagery. This image provides various spectral parameters and vegetation indices, including B1, GNDVI, BSI, and NDWI. Three RF models with varying parameters were tested to determine their effectiveness in tidal marsh classification. The model with 26 parameters (Model 3) performed best, with the lowest RMSE value of 0.22, the highest AUC of 0.87, and the highest overall accuracy of 95%. These results show that combining critical spectral parameters in the RF model can significantly improve the classification accuracy and biomass estimation in tidal marshes. This study also confirmed the effectiveness of Random Forest in addressing the challenges of high-accuracy mapping and monitoring. These findings provide a solid foundation for tidal marsh ecosystem conservation and management applications and support the application of machine learning in coastal ecosystem mapping for better and more accurate results.
Instalasi Alat Ultrafiltrasi untuk Penyediaan Air Bersih bagi Jamaah Masjid di Desa Way Redak Pesisir Barat Kurniasih, Nia; Julian, Miga Magenika; Hidayat, Esa Fajar; Simarmata, Nirmawana; Pakpahan, Sarah Kristina; Izzah, Aisyah Fitria Nurul
INTEGRITAS : Jurnal Pengabdian Vol 10 No 1 (2026): JANUARI - JULI
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Universitas Abdurachman Saleh Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/integritas.v10i1.7198

Abstract

Perubahan iklim global memberikan dampak serius terhadap ketersediaan air tanah, termasuk di wilayah pesisir yang setiap tahun menghadapi krisis air bersih. Masyarakat pesisir, khususnya nelayan, merupakan kelompok paling rentan karena tidak hanya berhadapan dengan keterbatasan akses air bersih, tetapi juga dengan tingkat kemiskinan yang relatif tinggi. Desa Way Redak di Kabupaten Pesisir Barat, Provinsi Lampung, sebagai salah satu kawasan 3T (terluar, terdepan, tertinggal), menghadapi kondisi tersebut dengan kompleksitas permasalahan yang tinggi. Pada tahun 2024, tim pengabdian masyarakat telah melaksanakan program restorasi ekosistem buatan terumbu karang untuk merespons penurunan hasil tangkapan ikan. Namun, persoalan mendesak lainnya adalah kerentanan ketersediaan air bersih akibat intrusi air laut yang didorong oleh perubahan iklim dan kondisi geografis Desa Way Redak yang berhadapan langsung dengan Samudera Hindia. Menjawab permasalahan tersebut, program pengabdian tahun 2025 difokuskan pada instalasi teknologi membran ultrafiltrasi sebagai alternatif penyediaan air bersih siap konsumsi. Teknologi ini secara empiris terbukti mampu mengolah sumber air yang kurang layak menjadi air yang aman diminum. Implementasi kegiatan tidak hanya ditujukan untuk memenuhi kebutuhan dasar masyarakat, tetapi juga mendukung aktivitas jamaah masjid setempat serta meningkatkan kenyamanan wisatawan yang berkunjung ke Pulau Pisang. Selain itu, penyediaan fasilitas air minum ini berpotensi memitigasi pencemaran plastik dari penggunaan botol sekali pakai yang sering ditinggalkan wisatawan. Dengan demikian, kegiatan ini diharapkan mampu meningkatkan ketahanan lingkungan, kesehatan masyarakat pesisir, serta mendukung keberlanjutan pariwisata bahari di Krui.
Co-Authors . Heriasnyah Adhitama, Gregorius Prasetyo Adil, Irdam Agung Budi Harto Agung Pandi Nugroho Al Farishi, Bilal Aldyansyah, Muhammad Aliffia Aliffia Annisha Bunga Fathya Apriani, Mutia Rahma Ayudia Hardiyani Kiranaratri Damayanti, Elok Denny Hidayat Dewi Nawang Sari Dudung Muhally Hakim Fathya, Annisha Bunga Fauziah, Afi Fitralia Elyza Giovani, Muhammad Harta, M Sri Hendrawan, Rezki Naufan Heriansyah Heriansyah Heriansyah Hidayat, Esa Fajar Irdam Adil Izzah, Aisyah Fitria Nurul Julian, Miga Magenika Ketut Wikantika Lea Kristi Agustina Lea Kristi Agustina M Sri Harta Nadzir, Zulfikar Adlan Nanda Nurisman nia kurniasih Nugroho, Agung Pandi Nur Adliani Pakpahan, Sarah Kristina Prima Roza Purnama, Yustika Putra Perdana, Agung Mahadi Rezalian Vatiady Santo, A Ki Asmoro Sari, Dewi Nawang Sijabat, Juniati Soni Darmawan Tohir, Rizki Kurnia Trika Agnestasia Tarigan Trika Agnestasia Tarigan Wijayanti, Goldie Melinda Yudha Rahman Yuni Lisafitri, Yuni