Pemodelan Bencana Longsor Berbasis Spasial

Lusy, Irma; Suwarni, Nani; Miswar, Dedy; Jaya, M. Thoha B.S

doi:10.35580/lageografia.v19i1.13860

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Indonesia merupakan salah satu negara kepulauan dengan catatan fenomena gempa terbanyak di dunia. Indonesia merupakan salah satu negara yang termasuk daerah rawan bencana (Lusy et al, 2020). Bencana alam sudah menjadi bagian dalam kehidupan penduduk Indonesia yang hampir setiap hari terjadi (Ningsih et al, 2020).…”

Section: Pendahuluanunclassified

Observasi SAR untuk Perubahan Lahan Pasca Gempa 7,5 Mw NTT di Pulau Selayar

Yanti

2022

lageografia

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An earthquake with a magnitude of 7.5 occurred on December 14, 2021, with an epicenter location at 112-kilometers northwest of Larantuka, NTT, causing an impact on the Selayar Islands. Damage to structures, infrastructure, and changes in the ground surface structure occurred in most of Selayar Island. Changes in the structure of the ground surface that occurred were identified by utilizing SAR satellite imagery of Sentinel-1 A and Sentinel-1 B in the post-event time range, namely December 05 to December 11, 2021, the event which was December 11 to December 17, 2021, and post-event, namely December 17, 2021, to January 04, 2022. The DInSAR method is used to identify the value of the phase difference and the direction of earthquake wave energy. The results of the DInSAR approach obtained a change in the value of the phase difference of more than 3 cm at the post-event, event, and post-event. The distribution of phase difference values shows an adverse change in vertical deformation in the event category between December 11, 2021, to December 17, 2021. More than 50 percent of the distribution of phase difference values shows land subsidence. The result shows that earthquakes can trigger land surface change on Selayar Island. AbstrakGempa berkekuatan 7,5 magnitudo terjadi pada 14 Desember 2021 dengan lokasi epicentrum di 112-kilometer barat laut Larantuka, NTT menimbulkan dampak hingga Kepulauan Selayar. Kerusakan struktur, infrastruktur serta perubahan struktur permukaan tanah terjadi di sebagian besar Pulau Selayar. Perubahan struktur permukaan tanah yang terjadi di Pulau Selayar diidentifikasi dengan memanfaatkan citra satelit SAR Sentinel-1 A dan Sentinel-1 B pada rentang waktu post-event yakni 05 Desember 2021 hingga 11 Desember 2021, event yakni 11 Desember 2021 hingga 17 Desember 2021, dan pasca event yakni 17 Desember 2021 hingga 04 Januari 2022. Metode DInSAR digunakan untuk mengidentifikasi nilai beda fase dan arah perambatan energi gelombang gempa bumi. Hasil pendekatan DInSAR didapatkan perubahan nilai beda fase lebih dari 3 cm pada post-event, event dan pasca event. Sebaran nilai beda fase menunjukkan perubahan negatif pada vertical deformation di kategori event di antara rentang waktu 11 desember 2021 hingga 17 desember 2021. Dengan lebih dari 50 persen sebaran nilai beda fase menunjukkan penurunan permukaan tanah. Hal ini menunjukkan bahwa gempa bumi merupakan salah satu faktor yang dapat memicu terjadinya perubahan permukaan tanah yang terjadi di Pulau Selayar.

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Section: Pendahuluanunclassified

Observasi SAR untuk Perubahan Lahan Pasca Gempa 7,5 Mw NTT di Pulau Selayar

Yanti

2022

lageografia

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“…Bencana ini tidak hanya menimbulkan korban jiwa dan harta benda, juga kerusakan lahan yang berdampak jangka panjang pada kehidupan masyarakat. Menurut (Lusy et al, 2020) bahwa longsor merupakan salah satu bencana alam yang dapat mengancam kehidupan manusia. Bencana alam disebabkan oleh faktor alam dan manusia.…”

Section: Pendahuluanunclassified

Daerah Rawan Bencana Longsor di DAS Takapala Sub DAS Jeneberang Bagian Hulu Kabupaten Gowa Provinsi Sulawesi Selatan

Badwi

Sakinah

2022

lageografia

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In recent years, Indonesia has often been hit by various disasters, one of which is the Landslide. Landslides cause many casualties, both life and property. This study aims to: determine areas prone to landslides in the Takapala watershed, Jeneberang sub-watershed. This research approach uses land units derived from soil maps, slope maps, landform maps, and land use maps to produce 30 land units. The research variables used were rainfall, rock types, slope, soil texture, soil permeability, thickness of soil solum, depth of rock weathering, steep walls, land use, and vegetation density. The method used in this research is overlay with Geographic Information system. The sample was determined by purposive area sampling. The results showed that there are two levels of vulnerability to landslides, namely; Sufficiently Vulnerable covering an area of 3,211.30 Ha (81.44%) located in the upstream, middle and downstream parts of the watershed, the Vulnerable level covering an area of 731.69 Ha (18.56 %), spread over the upstream, and middle of the watershed. Factors that affect landslides in this area are mutually supporting one variable with another variable. Serious attention is needed so that the landslide-prone level does not increase to become very vulnerable.AbstrakBeberapa tahun terakhir Indonesia sering dilanda berbagai bencana, salah satunya bencana Longsor. Bencana longsor menimbulkan banyak korban baik jiwa maupun harta benda. Penelitian ini bertujuan untuk: mengetahui daerah rawan bencana longsor di DAS Takapala Sub DAS Jeneberang. Pendekatan penelitian ini menggunakan satuan lahan yang diturunkan dari peta tanah, peta lereng, peta bentuklahan, dan peta penggunaan lahan sehingga menghasilkan 30 satuan lahan. Variabel penelitian yang digunakan adalah curah hujan, jenis batuan, kemiringan lereng, tekstur tanah, permeabilitas tanah, ketebalan solum tanah, kedalaman pelapukan batuan, dinding terjal, penggunaan lahan, dan kerapatan vegetasi. Metode yang digunakan dalam penelitan ini yaitu overlay dengan system Informasi Geografis. Sampel ditentukan secara purposive area sampling. Hasil penelitian menunjukkan bahwa terdapat dua tingkat kerawanan bencana longsor yaitu; Cukup Rawan seluas 3.211,30 Ha (81,44 %) terdapat di bagian hulu, tengah dan hilir DAS, tingkat Rawan seluas 731,69 Ha (18,56 %), tersebar di bagian hulu, dan tengah DAS. Faktor yang berpengaruh terhadap longsor di wilayah ini yaitu saling mendukung variabel satu dengan variabel lainnya. Perlu perhatian yang serius supaya tingkat rawan longsornya tidak meningkat menjadi sangat rawan.

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“…Model can be interpreted as a representation of spatial reality carried out by a modeler. In other words, the model is a link between the real world and the world of thinking which is done with the aim of solving a problem (Filatova, et al, 2013;Lusy, et al, 2020). The process of describing or representing a model is known as modeling.…”

Section: Introductionmentioning

confidence: 99%

Modeling the changes of Paddy field to Residential in Pringsewu District, Indonesia

Miswar¹,

Suyatna²,

Zakaria³

et al. 2022

EEC

Self Cite

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The increasing number of population which always increases every year and the existence of regions experiencing expansion in Lampung Province have an effect on the development of regional autonomy development. As the population increases, this area needs to be studied further both physically and socially. An increasing population will certainly increase land use for residential in an area. Meanwhile, the existing land availability is becoming increasingly limited. The increasing number of population will certainly increase the area of the residential area. Meanwhile, for the city area, it is necessary to plan land use as the development of various infrastructure needed by the community. The increase in population encourages changes in land use in urban areas as a form of meeting community needs. This study aims to determine the area of paddy fields that have changed into residential, the factors that affect the change from paddy fields to residential, and determine the patterns and directions of residential. This research was conducted using an overlay technique with analysis using a spatial approach. The results of the research are in the form of land use change models in 2015-2020, besides physical and non-physical factors that cause changes in paddy fields to residential and residential patterns that occur are clustered with the direction of development of residential to the west approaching the city center and public facilities. The conclusion in this study is that by making this model it will be easier to see the distribution of data, factors and patterns of land use change.

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Pemodelan Bencana Longsor Berbasis Spasial

Cited by 3 publications

References 4 publications

Observasi SAR untuk Perubahan Lahan Pasca Gempa 7,5 Mw NTT di Pulau Selayar

Observasi SAR untuk Perubahan Lahan Pasca Gempa 7,5 Mw NTT di Pulau Selayar

Daerah Rawan Bencana Longsor di DAS Takapala Sub DAS Jeneberang Bagian Hulu Kabupaten Gowa Provinsi Sulawesi Selatan

Modeling the changes of Paddy field to Residential in Pringsewu District, Indonesia

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