scholarly journals APLIKASI PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFI UNTUK PEMETAAN DAERAH BERPOTENSI TSUNAMI DI KABUPATEN KUPANG PROVINSI NUSA TENGGARA TIMUR

2018 ◽  
Vol 3 (2) ◽  
pp. 170-178
Author(s):  
Lidia Agustina Rumaal ◽  
Jehunias L. Tanesib ◽  
Jonshon Tarigan
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Land Cover ◽  
Arrival Time ◽  
Land Cover Map ◽  
The Impact ◽  
Monitoring Area ◽  
Wave Arrival

Abstrak Telah dilakukan pemetaan daerah rawan tsunami berdasarkan estimasi waktu tiba gelombang dan tutupan lahan di Kabupaten Kupang Provinsi Nusa Tenggara Timur menggunakan aplikasi Penginderaan Jauh dan Sistem Informasi Geografi. Penelitian ini bertujuan untuk mengidentifikasi, memetakan daerah rawan tsunami dan tingkat kerawanannya menurut estimasi waktu tiba gelombang dan tutupan lahan sebagai upaya mitigasi dampak bencana tsunami terhadap kepadatan penduduk. Metode penelitian secara umum dibagi dalam empat tahap utama yaitu pembangunan basis data berupa pembuatan peta tutupan lahan, peta gempa dan peta batimetri. Analisis data kerawanan dari peta tutupan lahan dan etimasi waktu tiba gelombang, penyajian hasil data dalam bentuk tingkat kerawanan masing-masing peta dan analisis hasil penelitian berupa tingkat kerawanan secara kualitatif masing-masing daerah titik pantau menurut peta tutupan lahan maupun estimasi waktu tiba gelombang. Selain itu, dampak kerawanan tsunami diklasifikasikan menurut tingkat kepadatan penduduk untuk kebutuhan mitigasi sebagai berikut Kecamatan Kupang Timur, Kupang Barat, Sulamu, Amfoang Timur, Semau, Semau Selatan, Amfoang Utara, Amfoang Barat Daya, Amfoang Barat Laut dan Fatuleu Barat. Kata kunci : Peta rawan tsunami, Penginderaan Jauh, Sistem Informasi Geografi, Estimasi Waktu Tiba Gelombang  Abstract Mapping of hazard tsunami areas based on estimation of arrival time of wave and land cover in Kupang Regency of East Nusa Tenggara Province using remote sensing application and geographic information system has been done. The  aims of this research are to mapping the hazard tsunami area and tsunami vulnerability level in Kupang Regency East Nusa Tenggara according to the estimated arrival time of the wave and land cover as an effort to mitigate the impact of the tsunami disaster on population density. These generally devided into four main phase namely development of database in the form of land cover map , seismic maps and bathymetry maps, data analysis of research results in the form of qualitative vulnerability of each monitoring area according to land cover map and estimated wave arrival time. Presentation of data results in the form of vulnerability level of each map and analysis and results analysis of research the form of vulnerability level of each map and analysis of research results in the form of qualitative vulnerability of each monitoring area according to land cover map and estimated wave arrival time. And then, the impact of tsunami vulnerability is classified according to population density levels for mitigation needs as follows Kupang Timur, Kupang Barat, Sulamu, Amfoang Timur, Semau, Semau Selatan, Amfoang Utara, Amfoang Barat Daya, Amfoang Barat Laut and Fatuleu Barat. Keywords: Tsunami Hazard Map, Remote Sensing, Geographic Information System, Estimated Time of arrival Wave

scholarly journals APLIKASI PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFI UNTUK PEMETAAN DAERAH BERPOTENSI TSUNAMI DI KABUPATEN KUPANG PROVINSI NUSA TENGGARA TIMUR

2018 ◽  
Vol 3 (3) ◽  
pp. 170-178
Author(s):  
Lidia Agustina Rumaal ◽  
Jehunias L. Tanesib ◽  
Jonshon Tarigan
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Land Cover ◽  
Arrival Time ◽  
Land Cover Map ◽  
The Impact ◽  
Monitoring Area ◽  
Wave Arrival

Abstrak Telah dilakukan pemetaan daerah rawan tsunami berdasarkan estimasi waktu tiba gelombang dan tutupan lahan di Kabupaten Kupang Provinsi Nusa Tenggara Timur menggunakan aplikasi Penginderaan Jauh dan Sistem Informasi Geografi. Penelitian ini bertujuan untuk mengidentifikasi, memetakan daerah rawan tsunami dan tingkat kerawanannya menurut estimasi waktu tiba gelombang dan tutupan lahan sebagai upaya mitigasi dampak bencana tsunami terhadap kepadatan penduduk. Metode penelitian secara umum dibagi dalam empat tahap utama yaitu pembangunan basis data berupa pembuatan peta tutupan lahan, peta gempa dan peta batimetri. Analisis data kerawanan dari peta tutupan lahan dan etimasi waktu tiba gelombang, penyajian hasil data dalam bentuk tingkat kerawanan masing-masing peta dan analisis hasil penelitian berupa tingkat kerawanan secara kualitatif masing-masing daerah titik pantau menurut peta tutupan lahan maupun estimasi waktu tiba gelombang. Selain itu, dampak kerawanan tsunami diklasifikasikan menurut tingkat kepadatan penduduk untuk kebutuhan mitigasi sebagai berikut Kecamatan Kupang Timur, Kupang Barat, Sulamu, Amfoang Timur, Semau, Semau Selatan, Amfoang Utara, Amfoang Barat Daya, Amfoang Barat Laut dan Fatuleu Barat. Kata kunci : Peta rawan tsunami, Penginderaan Jauh, Sistem Informasi Geografi, Estimasi Waktu Tiba Gelombang  Abstract Mapping of hazard tsunami areas based on estimation of arrival time of wave and land cover in Kupang Regency of East Nusa Tenggara Province using remote sensing application and geographic information system has been done. The  aims of this research are to mapping the hazard tsunami area and tsunami vulnerability level in Kupang Regency East Nusa Tenggara according to the estimated arrival time of the wave and land cover as an effort to mitigate the impact of the tsunami disaster on population density. These generally devided into four main phase namely development of database in the form of land cover map , seismic maps and bathymetry maps, data analysis of research results in the form of qualitative vulnerability of each monitoring area according to land cover map and estimated wave arrival time. Presentation of data results in the form of vulnerability level of each map and analysis and results analysis of research the form of vulnerability level of each map and analysis of research results in the form of qualitative vulnerability of each monitoring area according to land cover map and estimated wave arrival time. And then, the impact of tsunami vulnerability is classified according to population density levels for mitigation needs as follows Kupang Timur, Kupang Barat, Sulamu, Amfoang Timur, Semau, Semau Selatan, Amfoang Utara, Amfoang Barat Daya, Amfoang Barat Laut and Fatuleu Barat. Keywords: Tsunami Hazard Map, Remote Sensing, Geographic Information System, Estimated Time of arrival Wave

scholarly journals PEMETAAN DAERAH RAWAN EROSI DENGAN MENGGUNAKAN APLIKASI PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFI DI KABUPATEN TIMOR TENGAH SELATAN PROPINSI NUSA TENGGARA TIMUR

2018 ◽  
Vol 2 (2) ◽  
pp. 58-65
Author(s):  
Maria S. Mali ◽  
Jehunias L. Tanesib ◽  
Redi K. Pingak
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Land Cover ◽  
Research Methods ◽  
Geographic Information ◽  
Hazard Map ◽  
Land Cover Map ◽  
Risks Assessment ◽  
Almost All

Abstrak Telah dilakukan pemetaan daerah rawan erosi di Kabupaten Timor Tengah Selatan Provinsi Nusa Tenggara Timur dengan menggunakan aplikasi penginderaan jauh dan sistem infomasi geografi. Tujuan dari penelitian ini adalah  untuk memetakan daerah rawan erosi dan tingkat kerawanannya di Kabupaten Timor Tengah selatan, Propinsi Nusa Tenggara Timur. Metode penelitian berupa pembuatan peta curah hujan, pembuatan peta tutupan lahan, dan pembuatan peta kelas lereng. Berdasarkan dari hasil penelitian, tingkat rawan erosi dibagi menjadi tiga kelas yaitu: kelas tidak rawan erosi  dengan luas wilayah 127.218,69 Ha meliputi kecamatan Noebeba, kecamatan Amanuban Selatan, kecamatan Kualin, sebagian kecamatan Amanuban Timur dan kecamatan Fatukopa. Kelas  rawan erosi  dengan luas wilayah 251.082,09 Ha meliputi hampir seluruh kecamatan Timor Tengah Selatan dan kelas sangat rawan erosi sekitar 9.125,1 Ha meliputi wilayah kecamatan Fatumnasi, kecamatan Tobu, kecamatan Mollo Utara, sebagian kecamatan Kot’olin. Kata kunci: Peta Rawan Erosi, Penginderaan Jauh, Sistem Informasi Geografi.   Abstract We made maps of areas prone to erosion in Timor Tengah Selatan regency,  province of East Nusa Tenggara using remote sensing and geographic information system. The purpose of this study is to map areas prone to erosion and risks assessment in  Timor Tengah Selatan regency East Nusa Tenggara province .The research methods include the use of GIS to make rainfall, land cover map and class slopes map. Based on the results, level of erosion can be divided into three classes. First, areas which are not  prone to erosion (127.218,69 Ha), covering districts Noebeba, districts Amanuban South, districts Kualin, most districts Amanuban East and districts Fatukopa. Second, areas prone to erosion (251.082.09 Ha) covering almost all districts Timor Tengah Selatan. Third, areas highly prone to erosion (9.125,1 Ha) covering an area districts Fatumasi, districts Tobu, Mollo Utara, districts, most  districts  Kot`olin. Keywords: Erosion hazard map, Remote sensing, Geographic information system.

scholarly journals PREDIKSI DAN ANALISIS TEMPAT PEMBUANGAN AKHIR (TPA) SAMPAH DI KOTA PADANG

JURNAL BUANA ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 423
Author(s):  
Mia Audina
Keyword(s):  
Information System ◽  
Quantitative Analysis ◽  
Geographic Information System ◽  
Population Density ◽  
Land Cover ◽  
Rice Field ◽  
Geographic Information ◽  
Analysis Method ◽  
Quantitative Analysis Method ◽  
Population Prediction

PREDIKSI DAN ANALISIS TEMPAT PEMBUANGAN AKHIR (TPA) SAMPAH DI KOTA PADANG Program Studi Geografi, Fakultas Ilmu Sosial, Universitas Negeri Padang Email: [email protected] Abstrak Penelitian ini bertujuan untuk1) mengetahui tutupan lahan Kota Padang, 2) mengetahui prediksi jumlah penduduk dan volume sampah di Kota Padang 3) mengetahui luas TPA dan lokasi rekomendasi TPA. Metode yang digunakan dalam penelitian ini adalah metode analisis kuantitatif. Model yang digunakan Sistem Informasi Geografis (SIG) di overlay menggunakan parameter pengharkatan. Hasil penelitian menunjukkan, 1) analisis tutupan lahan Citra Landsat Kota Padang tahun 2016 adalah; Vegetasi (51486,40 Ha), Lahan Terbangun (11578,44 Ha), dan Sawah (5713,93 Ha). 2) prediksi penduduk pada tahun 2026 sebesar 1.011.166 jiwa dan prediksi volume sampah sebesar 2.952.604.720 kg/jiwa,.3) lahan yang dibutuhkan untuk TPA sebesar 45,67 Ha dengan luas daerah penyangga 11,42 Ha. Rekomendasi pendirian TPA berada pada Kecamatan Koto Tangah dan Kuranji. Kata kunci:Tutupan Lahan, Kepadatan Penduduk dan Volume Sampah, Luas TPA dan Rekomendasi TPA Abstract This study aims to 1) to know the land cover of Padang City, 2) to know the prediction of population and the volume of waste in Padang City 3) to know the extent of TPA and the location of the TPA recommendation. The method used in this research is quantitative analysis method. The model used Geographic Information System (GIS) in overlay using the parameters. The results showed, 1) analysis of land cover Citra Landsat Padang in 2016 is; Vegetation (51486,40 Ha), Built Land (11578.44 Ha), and Rice Field (5713,93 Ha). 2) population prediction in 2026 of 1,021,329 people and prediction of waste volume of 2.952.604.720 kg/ soul. 3) the land needed for the landfill of 45.67 Ha with a buffer area of 11.42 Ha. The recommendations for the establishment of TPA are located in Koto Tangah and Kuranji Sub-districts. Keywords:Land Cover, Population Density and Waste Volume, Extensive Landfill and Landfill Recomendation

scholarly journals Earthquake Triggered Multi-Hazard and Risk Study Based on Remote Sensing and Geographic Information System

2018 ◽  
Author(s):  
Aditya Saputra ◽  
Christopher Gomez ◽  
Ioannis Delikostidis ◽  
Peyman Zawar-Reza ◽  
Danang Sri Hadmoko ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Middle Part ◽  
Cast Material ◽  
Coseismic Landslide ◽  
Hazard And Risk ◽  
The Impact ◽  
Yogyakarta City

Yogyakarta City is one of the big city which is located in Java Island, Indonesia. Yogyakarta City, including study area (Pleret Sub District), are very prone to earthquake hazards, because close to several active earthquake sources. For example, Sunda Megathrust which often generates a big earthquake which can affect the study area. The Sunda Megathrust extends from north to south and west to east along the Sumatra and Java Islands. Furthermore, an active normal fault called as Opak Fault pass through right in the middle of Study area and divides the study area into east and west zone. Recently, after the devastating earthquake in 2006, the population of the study area increases significantly. As a result, the housing demand is also increasing. However, due to the absence of earthquake building code in the study area, locals tend to build improper new houses. Furthermore, in some part of the mountainous area in the study area, there are some building found in unstable slopes area. Due to this condition, the multi-hazard and risk study needs to be done in Pleret. The increasing of population and improper houses in Pleret Sub-District can lead to amplify the impact. Thus, the main objective of this study is to assess the multi-hazards and risk of earthquake and other related secondary hazards such as ground amplification, liquefaction, and coseismic landslide.  The method mainly utilised the geographic information system, remote sensing and was fit up by the outcrop study. The results show that the middle part of the study area has a complex geological structure. It was indicated by a lot of unchartered faults was found in the outcrops. Furthermore, the relatively prone areas to earthquake can be determined. In term of the coseismic landslide, the prone area to the coseismic landslide is located in the east part of the study area in the middle slope of Baturagung Escarpment. The highly potential area of liquefaction is dominated in the central part of the study area. In term of building collapsed probability, the result shows that the safest house based on statistical analysis is the residential house with the building attribute of wood structure, roof cast material, distance more than 15 km from the earthquake source, and located above the Nglanggran Formation. Finally, the multi-hazard and risk analysis show that the middle part of the study area is more vulnerable than the other part of Pleret Sub-District.

scholarly journals Analysis Transfer of the Function Cover of Agricultural Land Become a Housing Area and Industry in the Semarang City with Approach of Remote Sensing and Geographic Information System

2019 ◽  
Vol 3 (2) ◽  
pp. 204-210
Author(s):  
Harnawan Nurul Asna ◽  
Frederik Samuel Papilaya
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Land Cover ◽  
Land Cover Change ◽  
Agricultural Land ◽  
Unsupervised Classification ◽  
Geographic Information ◽  
Classification Technique ◽  
Housing Area

The purpose of this study was to find out how much area of agricultural land was converted because of the high property business activities in Semarang City, the data used for this study were taken from 1999 to 2018. The classification method used in this study was the remote sensing method using the unsupervised classification technique. Output of this study is the extensive data of agricultural land cover change obtained from 1999 to 2018. The results of this study can prove that the Geographic Information System can be used to find out how much agricultural land cover change in Semarang City from 1999 to 2018. The area of agricultural land that has been converted is from 1999 to 2009 around 3072 ha and from 2009 to 2018 around 1071.4 ha.

scholarly journals Impact of land-use and land-cover change on soil erosion using the RUSLE model and the geographic information system: a case of Temeji watershed, Western Ethiopia

2021 ◽  
Author(s):  
Mitiku Badasa Moisa ◽  
Daniel Assefa Negash ◽  
Biratu Bobo Merga ◽  
Dessalegn Obsi Gemeda
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Soil Erosion ◽  
Land Cover ◽  
Water Conservation ◽  
Soil Loss ◽  
Geographic Information ◽  
Lulc Change ◽  
The Impact

Abstract The impact of land-use land-cover (LULC) change on soil resources is getting global attention. Soil erosion is one of the critical environmental problems worldwide with high severity in developing countries. This study integrates the Revised Universal Soil Loss Equation model with a geographic information system to estimate the impacts of LULC conversion on the mean annual soil loss in the Temeji watershed. In this study, LULC change of Temeji watershed was assessed from 2000 to 2020 by using 2000 Landsat ETM+ and 2020 Landsat OLI/TIRS images and classified using supervised maximum likelihood classification algorithms. Results indicate that the majority of the LULC in the study area is vulnerable to soil erosion. High soil loss is observed when grassland and forest land were converted into cultivated land with a mean soil loss of 88.8 and 86.9 t/ha/year in 2020. Results revealed that about 6,608.5 ha (42.8%) and 8,391.8 ha (54.4%) were categorized under severe classes in 2000 and 2020, respectively. Accordingly, the soil loss severity class is directly correlated with the over-exploitation of forest resources and grasslands for agricultural purposes. These results can be useful for advocacy to enhance local people and stakeholder's participation toward soil and water conservation practices.

Reducing the Risk of Flood Disasters in Lamongan Regency Using the Geographic Information System (GIS)

UKaRsT ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 268
Author(s):  
Salwa Nabilah ◽  
Nur Azizah Affandy ◽  
N. Anwar ◽  
M. A. Maulana ◽  
N. Nurwatik
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Land Cover ◽  
Local Governments ◽  
Wide Distribution ◽  
Geographic Information ◽  
Disaster Mitigation ◽  
Flood Disasters ◽  
High Flood ◽  
The Impact

Flood disasters cause negative impacts, such as damage to facilities to the onset of fatalities. Reducing the risk of flooding needs to be done to reduce the impact caused by this disaster. Lamongan Regency is one of the regencies in East Java affected by floods every year in most of its areas. This study aims to reduce the risk caused by flooding by using GIS (Geographic Information System). Mitigation is done by determining areas with a high potential risk of being affected by flooding. The study used spatial analysis functions in ArcGIS. Supporting variables used rainfall, land cover, slope, soil texture, and watershed area, and it becomes important in determining flood-prone areas. From the results, the largest soil classification is the Kpl soil type. Litosol Gray Grumosol, The wide distribution of rainfall from 1500-1750 mm has the widest distribution is 66,67 ha. The slope of 0-8% has the widest distribution of 92,257 ha, making Lamongan a very vulnerable high flood area. Laren District is the District with the greatest flood potential, and Irrigated Field is the dominant land cover type affected by the flood. With the flood disaster map generated from this research, local governments can seek prevention in areas with high flood potential. They can carry out socialization based on disaster mitigation, especially for districts with potential flooding.

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