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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 GEOGRAFI Geografi dan Pengajarannya Jurnal Geosains dan Remote Sensing (JGRS) 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 Education Energy Engineering Environmental Science Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

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Analisis sedimen dan pengaruhnya terhadap kondisi garis pantai di kawasan pantai timur Kabupaten Lampung Selatan Trika Agnestasia Tarigan; Nirmawana Simarmata; Nanda Nurisman; Yudha Rahman
Journal of Science and Applicative Technology Vol 4 No 1 (2020): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (484.346 KB) | DOI: 10.35472/jsat.v4i1.249

Abstract

The erosion and sedimentation process that occurred in the east coast of South Lampung is a natural process affecting the balance of coastal sediment transport and resulting in the instability of coastal lines to the loss of the coastal communities along the coast, such as silting the river and can disturb the traffic of fishing boats. This is seen as a natural process influenced by the magnitude of wave energy coming, the type and size of sediment deposited, and coastal morphology. This research aims to analyze sediment and its effect on the changing coastline. The calculation approach with the empirical formula against coastal sediment data and wave data is used to predict the natural processes occurring along the coast. Analysis of SPOT 6/7 satellite imagery years 2008, 2013, 2016, and 2018 is the next step to estimate the similarity with empirical calculation results. The results showed that the East Coast had a characteristic mud sediment size ranging from 0.0258 – 0033 mm with the highest wave from the east with a wave height above 2.57 m and a period above 8,015 S. Research locations tend to undergo sedimentation processes that are influenced by waves, grain size, and there are rivers carrying sediments and deposits in the river estuary.
KARAKTERISKTIK BACKSCATTER CITRA ALOS PALSAR POLARISASI HH DAN HV TERHADAP PARAMETER BIOFISIK HUTAN DI SEBAGIAN TAMAN NASIONAL KERINCI SEBLAT nirmawana Simarmata
Journal of Science and Applicative Technology Vol 1 No 2 (2017): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1026.9 KB) | DOI: 10.35472/281441

Abstract

Synthetic Aperture Radar (SAR) is one kind of an active remote sensing system, utilizing microwave to records the earth surface. One of the SAR’s satellites is ALOS PALSAR which is capable of penetrating clouds so that the underlying objects can be identified. ALOS PALSAR has a polarization system operating with single beam polarization (HH or HV), dual polarization (HH + HV or VV + VH) and full polarization (HH + HV + VH + VV). This study aims to use the backscatter value of ALOS PALSAR's image for monitoring and mapping the forest. The Utilization of ALOS PALSAR imagery to measure forest biophysical parameters and saturation levels identified based on backscatter sensitivity. Image extraction is done through image calibration where the digital value is converted to sigma naught backscatter value then the result of calibration unit is changed to decibels. Backscatter sensitivity depends on forest structure which can affect scattering mechanism. The backscatter value is also influenced by humidity and weather dynamics which can also affect the dielectric constant. The result of accurate classification of land use polarization fall in HH accuracy of 62,4%. Whereas for HV polarization accuracy obtained equal to 74,88%.
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 Simarmata, Nirmawana; Sari, Dewi Nawang; Fathya, Annisha Bunga; Harta, M Sri
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 21, No 1 (2024)
Publisher : Ikatan Geografi Indonesia

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.
Analisis Spasial Risiko Bencana Kebakaran Hutan Dan Lahan Di Kabupaten Pesawaran Simarmata, Nirmawana; Nadzir, Zulfikar Adlan; Agustina, Lea Kristi; Wijayanti, Goldie Melinda; Giovani, Muhammad
Jurnal Geografi, Edukasi dan Lingkungan (JGEL) Vol. 9 No. 1 (2025): Edisi Bulan Januari
Publisher : Pendidikan Geografi Universitas Muhammadiyah Prof. Dr. Hamka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jgel.v9i1.14520

Abstract

Forest and land fires are common natural disasters in Indonesia, impacting ecology, economy, and community welfare. This study aims to calculate the spatial risk of Karhutla in Pesawaran Regency as an initial step in disaster management. The data comes from Landsat 8 (OLI) satellite images, slope maps, road maps, rivers, and land cover of Pesawaran Regency. This disaster risk assessment method refers to Decree from the BNPB Head Number 2 on year 2012 with three risk components in the form of vulnerability, hazard, and capacity indices. The hazard index was analyzed using hazard assessment variables, spatial analysis, and attribute analysis. The index of vulnerability is conducted by analyzing the conditions and characteristics of the community and its environment to calculate which factors reduce the ability to cope with disasters. The capacity index is calculated based on five leading indicators: disaster management rules and institutions, early warning systems and disaster risk assessments, disaster education, essential risk factor reduction, and preparedness development at all levels. The calculated hazard, vulnerability, and capacity indices were then combined to assess the risk level of land and forest fire disasters. An analysis from forest and land fire disaster risk assessment results in Pesawaran Regency shows that majority of the area have a medium risk. The largest sub-district with a low-risk level is in Pandan Island Sub-district with an area of 11,332.6 hectare, and the largest sub-district with a high level is in Tegineneng Sub-district of 11,558.3 hectare area, followed by Gedong Meneng sub-district. These sub-districts could be prioritized for a holistic and integrated scheme to add capacity index by all stakeholders.
Estimasi Potensi Indeks Bahaya Bencana Banjir dan Longsor di Kabupaten Pesawaran Agustina, Lea Kristi; Nadzir, Zulfikar Adlan; Simarmata, Nirmawana
Jurnal Geosains dan Remote Sensing Vol 6 No 1 (2025): JGRS Edisi Mei
Publisher : Department of Geophysical Engineering, Faculty of Engineering, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jgrs.ft.unila.383

Abstract

Bencana hidrometeorologis seperti banjir dan tanah longsor sering terjadi di Indonesia karena iklimnya yang tropis. Khususnya di kabupaten Pesawaran di Provinsi Lampung, di mana banjir sering terjadi dalam sepuluh tahun terakhir. Tahun 2008–2019 menyumbang lebih dari 60% dari semua banjir tersebut. Ketika area yang biasanya kering menjadi tergenang air, banjir terjadi. Ini sering terjadi karena limpasan air permukaan yang melebihi kapasitas saluran pembuangan atau karena air hujan yang tidak dapat meresap ke dalam tanah. Banjir dan longsor sering dikaitkan karena keduanya berkaitan dengan kondisi air di atas dan bawah permukaan. Hujan luar biasa dapat menyebabkan fenomena ini, serta kegiatan manusia seperti alih fungsi lahan dan penebangan pohon. Selama periode tersebut, Kabupaten Pesawaran mengalami 143 kejadian bencana, 102 di antaranya adalah banjir, termasuk banjir genangan, bandang, dan rob. Bencana ini menyebabkan 3 orang meninggal dan 1 orang luka-luka, dan menyebabkan kerusakan fisik pada 232 rumah rusak berat dan 1.040 rumah rusak ringan. Selain itu, terjadi 19 longsor, yang menyebabkan kerusakan ringan pada 12 rumah. Selain itu, bencana ini menimbulkan masalah penyebaran penyakit dan sumber air, sehingga indeks bahaya diperlukan untuk mendukung kesiapsiagaan pemerintah dan masyarakat.
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.
GIS-based Geospatial Risk Modeling of Extreme Waves and Abrasion on the West Coast of Sumatra Simarmata, Nirmawana; Wijayanti, Goldie Melinda; Nadzir, Zulfikar Adlan; Al Farishi, Bilal; Hendrawan, Rezki Naufan
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 30, No 3 (2025): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ik.ijms.30.3.411-424

Abstract

Indonesia, with its second-longest coastline in the world, is vulnerable to coastal disasters such as extreme waves and coastal abrasion. Pesisir Barat Regency in Sumatra is one of the regions that is vulnerable to these threats. Extreme waves, although rarely occur because of tropical cyclones, can be triggered by the influence of cyclones in the Indian Ocean. In addition, coastal abrasion caused by the interaction of waves, currents, and winds is increasingly threatening coastal areas. This research aims to identify the risk of extreme waves and abrasion disasters in Pesisir Barat Regency using a research-based approach to Geographic Information Systems (GIS) and multi-criteria analysis. Data on marine hydrodynamics, coastal topography, and land cover conditions are integrated to produce disaster risk maps. The risk analysis results show that the Ngaras sub-district and several other sub-districts, such as Bangkunat, Lemong, and Ngambur, have a high level of risk, with a total risk area reaching 0.398 square kilometers (km2). Meanwhile, most other sub-districts are in the low-risk class. Key factors influencing the risk level include coastal topography, vegetation cover, and the intensity of human activities in coastal areas. This study highlights the importance of coastal zone management based on risk mitigation and the need to protect coastal ecosystems to reduce disaster impacts. The findings are expected to serve as a reference for disaster mitigation policy planning in Pesisir Barat and other coastal areas. Additionally, these results could be utilized to develop holistic and practical disaster reduction effort by related stakeholders and coastal communities.
ANALISIS TRANSFORMASI INDEKS NDVI, NDWI DAN SAVI UNTUK IDENTIFIKASI KERAPATAN VEGETASI MANGROVE MENGGUNAKAN CITRA SENTINEL DI PESISIR TIMUR PROVINSI LAMPUNG Simarmata, Nirmawana; Wikantika, Ketut; Tarigan, Trika Agnestasia; Aldyansyah, Muhammad; Tohir, Rizki Kurnia; Fauziah, Afi; Purnama, Yustika
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 19 No 2 (2021): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v19n2.p69-79

Abstract

Abstrak: Perolehan informasi keberadaan hutan mangrove yang memiliki potensi, peran dan fungsi besar dalam kehidupan, dapat diperoleh melalui data penginderaan jauh. Teknologi penginderaan jauh memiliki efisien tinggi dan banyak kelebihan untuk keperluan monitoring hutan mangrove. Penelitian ini bertujuan untuk mengidentifikasi kerapatan ekosistem mangrove dengan menggunakan transformasi indeks vegetasi serta menguji efektivitas beberapa indeks vegetasi dalam hal ini NDVI, NDWI dan SAVI untuk identifikasi jenis dan kerapatan mengrove. Berdasarkan hasil analisis citra Sentinel dengan menggunakan transformasi indeks NDVI, SAVI, dan NDWI untuk identifikasi kerapatan vegetasi pada transformasi NDVI didominasi kelas kerapatan tinggi yaitu pada rentang nilai 0,67 – 1 yaitu seluas 46975,96 Ha, pada transformasi SAVI didominasi kelas kerapatan sangat jarang yaitu pada rentang nilai 0,99 – 1,38 yaitu seluas 48775,18 Ha, pada transformasi NDWI didominasi kelas kerapatan rendah yaitu pada rentang nilai 0,1 – 0,17 yaitu seluas 27442,26 Ha. Hasil uji akurasi yang dilakukan menggunakan 30 sampel uji diperoleh akurasi sebesar 83,33%. Kata kunci: mangrove, Sentinel, NDVI, NDWI, SAVI
INTEGRASI PEMETAAN ANCAMAN, KERENTANAN, DAN KAPASITAS DALAM KAJIAN RISIKO GEMPABUMI DAN TSUNAMI DI PESAWARAN, LAMPUNG Nadzir, Zulfikar Adlan; simarmata, Nirmawana; Agustina, Lea Kristi; Apriani, Mutia Rahma
Jurnal Geosaintek Vol. 10 No. 2 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25023659.v10i2.1858

Abstract

Pesawaran adalah nama dari sebuah kabupaten di Provinsi Lampung. Pada kabupaten ini terdapat sesar lokal dan area pesisir yang berbatasan langsung dengan Selat Sunda, sehingga rawan terjadi gempabumi dan tsunami. Penelitian ini bertujuan untuk menganalisis tingkat risiko dari gempabumi dan tsunami di Kabupaten Pesawaran menggunakan indeks ancaman, kerentanan, dan kapasitas. Metode yang digunakan adalah Probabilistic Seismic Hazard Analysis (PSHA) untuk pembuatan peta ancaman gempabumi dan perhitungan Hloss untuk pembuatan peta ancaman tsunami. Hasil penelitian menunjukkan bahwa bencana gempabumi Kabupaten Pesawaran memiliki risiko rendah hingga sedang. Tidak ada indeks risiko tinggi gempa bumi di Kabupaten Pesawaran. Hal ini dikarenakan indeks ancaman dan kerentanan berada pada kategori rendah hingga sedang, dan indeks kapasitas berada pada kategori tinggi. Indeks risiko sedang dengan luas terbesar berada di Desa Bogorejo, Gedong Tataan seluas 2.695,02 ha. Sedangkan, untuk bencana tsunami hanya berpotensi di beberapa kelurahan yang terletak di Kecamatan Teluk Pandan, Punduh Pidada, Padang Cermin, dan Marga Punduh. Hampir seluruh wilayah tersebut memiliki indeks ancaman yang tinggi, namun indeks risikonya sebagian besar berada pada kategori rendah hingga sedang, hanya sebagian kecil yang memiliki risiko tinggi tsunami. Hal ini dikarenakan indeks kerentanan berada pada kategori rendah hingga sedang, dan indeks kapasitas berada pada kategori tinggi. Sehingga, meskipun ancaman di wilayah tersebut tinggi, namun risikonya dapat diperkecil  karena minimnya kerentanan ditambah dengan kapasitas yang tinggi. Salah satu wilayah yang memiliki indeks risiko tsunami adalah Desa Persiapan Dantar, Kecamatan Padang Cermin dengan luas sebesar 349,42 ha.
Co-Authors . Heriasnyah Adhitama, Gregorius Prasetyo Adil, Irdam 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 Tohir, Rizki Kurnia Trika Agnestasia Tarigan Trika Agnestasia Tarigan Wijayanti, Goldie Melinda Yudha Rahman Yuni Lisafitri