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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 Jurnal ABDINUS : Jurnal Pengabdian Nusantara JURNAL GEOGRAFI Geografi dan Pengajarannya Jurnal Geosains dan Remote Sensing (JGRS) 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 Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

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Journal : Tunas Geografi

 1 
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
Spectral Transformation Analysis of Sentinel-2A Imagery for Rice Production Estimation in Natar and Jati Agung Sub-Districts, South Lampung Regency Sijabat, Juniati; Simarmata, Nirmawana; Putra Perdana, Agung Mahadi
Tunas Geografi Vol. 14 No. 1 (2025): 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.v14i1.69041

Abstract

Rice (Oryza sativa) is a key food commodity in Indonesia and plays a crucial role in ensuring national food security. South Lampung Regency, particularly Natar and Jati Agung Sub-districts, significantly contributes to rice production in the province. However, conventional rice yield estimation methods face limitations in terms of time, labor, and cost. This study aims to analyze the relationship between vegetation indices—Modified Soil Adjusted Vegetation Index (MSAVI), Soil Adjusted Vegetation Index (SAVI), and Rice Growth Vegetation Index (RGVI)—and rice productivity, as well as estimate rice yield using Sentinel-2A imagery in the study area. Data used include 2024 Sentinel-2A imagery and productivity measurements from 53 field observation points. The methods involve image classification, vegetation index calculation (SAVI, MSAVI, RGVI), Pearson correlation analysis, and yield estimation using multiple linear regression. The correlation results show r values of 0.870 (SAVI), 0.852 (MSAVI), and 0.667 (RGVI). The regression model yields an R² of 0.823 and an adjusted R² of 0.812. Yield estimates were classified into three categories: low (3.39–4.76 tons/ha), medium (4.76–6.13 tons/ha), and high (>6.13 tons/ha). This study demonstrates that remote sensing has strong potential to support sustainable agricultural practices and accurate, continuous rice yield estimation.
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
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 Ketut Wikantika Lea Kristi Agustina Lea Kristi Agustina M Sri Harta Nadzir, Zulfikar Adlan Nanda Nurisman Nugroho, Agung Pandi Nur Adliani 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