scholarly journals Vulnerability analysis of landslide at Sibolangit using Geographic Information System (GIS) based on population density and slope gradient

2020 ◽  
Vol 801 ◽  
pp. 012008
Author(s):  
Ika Puji Hastuty ◽  
Fauziah Ahmad ◽  
Roesyanto ◽  
M Ridwan Anas ◽  
Yossi R Hidayati
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Vulnerability Analysis ◽  
Geographic Information ◽  
Slope Gradient

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 Geographic information system methods tell spatiotemporal transmission and its drivers of COVID-19 in Wuhan, China at street-level

2020 ◽  
Author(s):  
Wei Liu ◽  
Wongming Wang ◽  
Shuiqiong Hua ◽  
Cong Xie ◽  
Bin Wang ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Urban Areas ◽  
Disease Surveillance ◽  
Influence Factors ◽  
Geographic Information ◽  
Disease Surveillance System ◽  
Local Aggregation ◽  
Global And Local

Abstract Background: No study has revealed spatial transmission characteristics of COVID-19 in Wuhan, China. We aimed to analyze the spatiotemporal spread of COVID-19 in Wuhan and its influence factors.Methods: Information of 32,682 COVID-19 cases reported through March 18 were extracted from the national infectious disease surveillance system. Geographic information system methods were applied to analysis transmission of COVID-19 and its influence factors in different periods.Results: We found decrease in effective reproduction number (Rt) and COVID-19 related indicators through taking a series of effective public health measures including restricting traffic, centralized quarantine and strict stay-at home policy. The distribution of COVID-19 cases number in Wuhan showed an obvious global aggregation and a local aggregation in central urban areas, but such aggregations was decreased in the later period of the epidemic. In addition, the analysis at streets-level suggested population density and the number of hospitals were influence factors of spatial difference.Conclusions: The epidemic situation showed obvious global and local spatial aggregations. High population density and directional flow of the Population to hospitals may account for the aggregations. Strong quarantine measures and restrictions on movement of residents in Wuhan make the epidemic under control in a short time.

scholarly journals Measuring the dengue risk area using Geographic Information System: a review

2020 ◽  
Vol 1 (1) ◽  
pp. 36
Author(s):  
Sulistyawati Sulistyawati
Keyword(s):  
Risk Factors ◽  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Spatial Epidemiology ◽  
Geographic Information ◽  
Community Research ◽  
Gis Applications ◽  
Disease Case ◽  
The Impact

Background: Dengue is a viral infection transmitted by mosquitoes that continue to be a significant health challenge in many tropical and subtropical countries. So far, Geographic Information System (GIS) in the health sector contributed to disease prevention, especially for visualization of the disease case. GIS is one of the important tools in spatial epidemiology to assist identification and spatial analysis of the target disease intervention. This article summarizes the use of GIS to assess risk factors for DHF, and how efficient the use of GIS in facilitating the improvement of disease surveillance systems for the prevention and control of diseases. Methods: This paper was developed using a descriptive approach, conducted in September and December 2019. The primary data used in this research were from ScienceDirect databased by collecting some studies that assess the risk of dengue using GIS applications. Results: The results of reviews of research in several countries which use GIS applications in assessing the risk of dengue incidence, ie, in Swat, Pakistan evaluated the impact of the slope, population density, and the distance to the river through GIS applications. Then in Seremban and Putrajaya, Malaysia implemented a participatory approach to identify the spatial risk of dengue in the community. Research in Lahore, Pakistan, analyzed the risk of dengue. Study in Colombia conducted GWR to evaluate the association between socioeconomic factors and the environment with dengue fever incidence. Recently, research in Taiwan integrated GIS to detect the correlation between population density and the possibility of human contact with mosquitoes. Conclusions: Based on the results of the review, it can be drawn that asses the dengue risk with GIS applications is highly relevant because it can determine the factors which affect the incidence of dengue. Besides, it can determine the spatial correlation between risk factors and the incidence of dengue, as well as to evaluate the impact of the dengue occurrence.            

scholarly journals Evaluasi kesesuaian lokasi bank BR di wilayah kantor cabang Setiabudi kota Bandung

2018 ◽  
Vol 32 (2) ◽  
pp. 184
Author(s):  
Moh Dendy Fathurahman
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Geographic Information ◽  
Location Determination ◽  
Geographic Information System Application ◽  
Area Unit ◽  
Branch Office ◽  
Research Analysis

Penentuan lokasi Bank yang dapat dijangkau masyarakat dapat membantu dalam peningkatan perekonomian. Akan tetapi, lokasi Bank di Kota Bandung belum sepenuhnya sesuai dengan kebutuhan masyarakat. Tujuan penelitian ini yaitu mendeskripsikan kesesuaian lokasi Kantor Cabang Pembantu (KCP) Bank BRI di Wilayah Unit Kerja Cabang Setiabudi Kota Bandung dengan Menggunakan Aplikasi Sistem Informasi Geografis. Metode untuk mengumpulkan data dalam penelitian ini yaitu observasi, pengukuran lapangan, geocoding, metode pengharkatan dan perengkingan serta yang terakhir adalah wawancara. Parameter yang digunakan dalam analisis penelitian ini adalah lokasi daerah industri, penggunaan lahan, daerah perdagangan, daerah pendidikan, jumlah penduduk, kepadatan penduduk dan kelas jalan. Berdasarkan hasil analisis didapatkan kesimpulan bahwa lokasi KCP Bank BRI di wilayah unit kerja Kantor Cabang Setiabudi baru yaitu KCP BRI Lembang, KCP BRI Cihampelas dan KCP BRI Surya Sumantri tidak seluruhnya mendapat klasifikasi sangat sesuai. Berdasarkan hasil overlay terdapat dua KCP yang mendapat kategori sangat sesuai yaitu KCP Cihampelas yang berada di wilayah kecamatan Coblong dan KCP Surya Sumantri yang berada di wilayah Sukajadi. Selanjutnya terdapat satu daerah lagi yang mendapat klasifikasi sangat sesuai apabila dibangun KCP BRI yaitu di wilayah kecamatan Sukasari, Akan tetapi di wilayah Sukasari terdapat Kantor Cabang BRI Setiabudi yang merupakan induk dari tiga KCPABSTRACT The determination of Bank locations that can be accessed by the community can help in improving the economy. Nowadays, Bank location in Bandung is not yet available in accordance with the needs of the community. The purpose of this study was to describe the suitability of the location of branch offices (KCP) Bank BRI in the Area Unit Setiabudi Branch Bandung using Geographic Information System Application. Method for collecting data in this research was observation, field measurement, geocoding, scoring, range, and interview. The parameters used in this research analysis were the location of the industrials area, lands use, trades area, educations area, populations, population density, and roads class. Based on analysis of Bank BRI KCP location determination using Geographic Information Systems concluded that KCP Bank BRI area in new Setiabudi unit branch office were KCP BRI Lembang, KCP BRI Cihampelas dan KCP BRI Surya Sumantri not all got the very appropriate classifications. Based on the results there were two KCP overlay that got very appropriate category KCP Cihampelas located in the districts of Coblong and KCP Surya Sumantri located in the district of Sukajadi. Furthermore, there was one more area that got very appropriate classification if built BRI KCP was namely in the districts of Sukasari. But in the area Sukasari BRI Branch Office Setiabudi which is the center of three KCP.

PEMANFAATAN WEBGIS DALAM MENDUKUNG PROGRAM DESA BERSAUDARA DI KABUPATEN MAGELANG

2018 ◽  
Vol 2 ◽  
pp. 223
Author(s):  
Humam Zarodi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information

<p>Erupsi Gunungapi Merapi tahun 2010 mengakibatkan banyak korban jiwa, kerusakan aset dan kerugian di berbagai bidang. Untuk meminimalkan korban jiwa, kerusakan dan kerugian, diperlukan upaya pengurangan risiko bencana (PRB). Salah satu upaya yang dilakukan adalah program desa bersaudara (<em>sister village</em>) yang digagas oleh Pemerintah Kabupaten Magelang melalui Badan Penanggulangan Bencana Daerah (BPBD). Program desa bersaudara ini bertujuan agar ada kepastian tempat pengungsian, mengurangi kesemrawutan proses pengungsian serta memudahkan pelayanan pengungsi. Program ini dapat memanfaatan Sistem Informasi Geografis/<em>Geographic Information System</em> (GIS) yang berbasis web (<em>WebGIS</em>). <em>WebGIS</em> mampu mendiseminasikan peta yang dihasilkan dalam program desa bersaudara, misalnya peta jalur evakuasi. Makalah ini bertujuan untuk mendiskripsikan pemanfataan <em>WebGIS</em> dalam mendukung program desa bersaudara, dengan mengambil kasus di Desa Ngargomulyo (desa rawan bencana) dan Desa Tamanagung (desa penyangga/ penerima pengungsi). Metodenya adalah memaparkan proses pemetaan jalur evakuasi. Proses penyusunan peta tersebut terbagi empat tahap:   survei lapangan, penyiapan data spasial, coding dan publikasi. Hasilnya adalah tampilan peta jalur evakuasi yang bisa diakses oleh siapapun tanpa menggunakan aplikasi GIS yang memudahkan masyarakat pengungsi, penerima pengungsi, pemerintah maupun parapihak, mengetahui asal pengungsi, jalur evakuasi dan titik pengungsian. Penelitian ini menyimpulkan bahwa pemetaan <em>WebGIS</em> dapat mendukung upaya PRB dengan keunggulan bisa dijangkau pengguna secara sangat luas.<strong></strong></p><p><strong>Kata kunci</strong>: desa bersaudara, <em>sister village</em>, pemetaan jalur evakuasi, <em>gis</em>, <em>webgis</em></p>

Implementation of A-Star Algorithm for Searching Routes Near the Tsunami Evacuation Shelter Point

2020 ◽  
Vol 4 (2) ◽  
pp. 254-259
Author(s):  
Renita Astri ◽  
Sularno
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Distance Estimation ◽  
Geographic Information ◽  
High Population

District of West Padang which is the area closest to the coast and has a high population. Therefore a geographic information system was created using the A-Star Algorithm method. The A-Star algorithm uses the closest distance estimation to reach a goal and has a heuristic value that is used as a basis for consideration. In this system there are alternative paths and show the amount of capacity and distance from the shelter to be addressed.

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