scholarly journals Analysis of Landslide Hazards Area Using Geographic Information System in Gayo Lues District

2019 ◽  
Vol 6 (3) ◽  
pp. 193
Author(s):  
Sukrizal Sukrizal ◽  
Eldina Fatimah ◽  
Nizamuddin Nizamuddin
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Pattern ◽  
Secondary Data ◽  
Geographic Information ◽  
Trigger Factors ◽  
Dominant Type ◽  
Cause Analysis ◽  
Landslide Hazards

Given the landslide hazards in Gayo Lues Regency are scattered in all sub-districts with various characteristics that influence them, and various parameters that make the vulnerability of landslides increasingly high, and have an impact on the socio-economic and spatial pattern of the district. The research objective is to identify and map the characteristics of landslides, the level of vulnerability. The data of this study are primary and secondary data at the landslide point. The results showed that the dominant type of landslide occurred was the flow of ragged material, rotation and translation with a cause analysis in the form of trigger factors and controllers and the occurrence of landslide repetition in several areas with the result of identifying the characteristics of the threat of landslides.

scholarly journals Coastal vulnerability mapping due to tsunami using Geographic Information System in Buleleng Regency, Bali Province

2021 ◽  
Vol 944 (1) ◽  
pp. 012045
Author(s):  
N P A R Suhita ◽  
V P Siregar ◽  
J Lumban-Gaol
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Field Data ◽  
Secondary Data ◽  
Geographic Information ◽  
Coastal Vulnerability ◽  
Earthquake Sources ◽  
Thrust Zone ◽  
Geographical Position ◽  
Back Arc

Abstract Bali is one of the areas vulnerable to disasters because of its geographical position, which is flanked by two earthquake sources in the form of a subduction zone and back-arc thrust zone, which can cause a tsunami in Bali region. This research aims to identify and map the level of coastal vulnerability to the tsunami in Buleleng Regency, Bali Province. The mapping was carried out using Geographic Information System (GIS). This study used secondary data and field data. The parameters used in analyzing the level of tsunami vulnerability were land elevation, slope, landuse, distance from the beach, and distance from the river. The level of vulnerability was grouped into five classes, namely very safe (35,466.9 ha), safe (70,485.0 ha), moderately vulnerable (17,645.0 ha), vulnerable (6,903.3 ha), and very vulnerable (438.9 ha) located in the Districts of Gerokgak, Seririt, Buleleng, and Sawan which are close to the river.

scholarly journals Indigenously developed digital handheld Android-based Geographic Information System (GIS)-tagged tablets (TABs) in malaria elimination programme in Mangaluru city, Karnataka, India

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
B. Shantharam Baliga ◽  
Animesh Jain ◽  
Naren Koduvattat ◽  
B. G. Prakash Kumar ◽  
Manu Kumar ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Mobile Apps ◽  
Delayed Diagnosis ◽  
Secondary Data ◽  
Parasite Clearance ◽  
Geographic Information ◽  
Control Measures ◽  
Malaria Surveillance ◽  
Vector Measures

Abstract Background Under-reporting, delayed diagnosis, incomplete treatment and inadequate vector management are few among many factors responsible for uninterrupted transmission of malaria in India. Information technology (IT) and mobile apps can be utilized effectively to overcome these hurdles. Indigenously developed digital handheld geographic information system (GIS)-tagged Android-based tablets (TABs) has been designed especially for implementation of digitization protocol. This has changed the effectiveness of malaria surveillance and intervention strategies in a malaria endemic area of Mangaluru city, Karnataka, India. Methods A software was developed and implemented for control measures to create a digital database of each malaria case. Secondary data analyses were carried out to determine and compare differences in malariometric indices between pre- and post-digitization years. With the introduction of this software active surveillance, information education and communication (IEC), and anti-vector measures were made ‘incidence-centric’. This means that the entire control measures were carried out in the houses where the malaria cases (index cases) were reported and also in surrounding houses. Results Annual blood examination rate (ABER) increased from 13.82 to 32.8%. Prompt reporting of new cases had improved (36% within 24 h and 80% within 72 h). Complete treatment and parasite clearance time were documented in 98% of cases. In the second post-digitization year untraceable cases reduced from 11.3 to 2.7%; contact blood smears collection also increased significantly (p < 0.001); Slide Positivity Rate (SPR) decreased from 15.5 to 10.48%; malaria cases reduced by 30%. Conclusions IT is very useful in translation of digitized surveillance to core interventions thereby effectively reduce incidence of malaria. This technology can be used effectively to translate smart surveillance to core interventions following the ‘1-3-7-14’ strategy.

scholarly journals APPLICATION DESIGN GEOGRAPHIC INFORMATION SYSTEM OF FLOOD LOADING MAPPING IN TULUNGAGUNG REGENCY REGION

2018 ◽  
Vol 3 (1) ◽  
pp. 139-154
Author(s):  
Mohammad Panji Romadhoni
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Flood Hazard ◽  
Secondary Data ◽  
Geographic Information ◽  
Primary Data ◽  
Analysis Tool ◽  
Contributing Factors ◽  
Map Data ◽  
Flood Prone Areas

Tulungagung Regency has a history of experiencing floods, which damaged infrastructure and claimed lives in Tulungagung Regency due to the lack of facilities, knowledge and initial handling of flood disasters to be one of the contributing factors. This study uses primary data and secondary data in the form of slope data, soil type and rainfall. The results of the analysis obtained the level of flood vulnerability in the Tulungagung district area resulting in three levels of classes, namely vulnerability is very vulnerable, vulnerable, and not vulnerable. Making the system using ArcMap PHP web programming and using the MySQL database offline. To process map data used GIS tools (geographic information system), namely the spatial analysis tool of flood hazard level with a visual mapping model. The results of this study are expected to be useful in providing information on flood-prone areas in Tulungagung Regency and it is hoped that the Tulungagung Regency government and the private sector will routinely conduct disaster socialization, especially for communities in flood-prone areas.

Identifying Communities of Concern for Older Adults Using Spatial Analysis: Focusing on Accessibility to Health, Social, and Daily Services

2021 ◽  
pp. 073346482097800
Author(s):  
Kwangyul Choi ◽  
Yeonjung Lee ◽  
Zoe Basrak
Keyword(s):  
Older Adults ◽  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Urban Planning ◽  
Spatial Pattern ◽  
Public Transit ◽  
Interdisciplinary Collaboration ◽  
Geographic Information ◽  
The City

Ensuring accessibility to necessary services is critical for older adults. However, there often exist spatial disparities in the levels of accessibility to services. Because the application of Geographic Information System (GIS) has gained attention in the gerontology field, we used spatial analysis to identify communities of concern for older adults from the perspective of accessibility. We defined the communities of concern based on the proportion of older adults and the level of accessibility to health, social, and daily services via two specific modes of transportation—walking and public transit. Our findings show that newly developed communities tend to have less accessibility to necessary services, and aging communities are randomly distributed across the city. Our results call for interdisciplinary collaboration, between urban planning and gerontology professionals, to better understand the spatial pattern of aging communities and its implication for properly addressing the mobility needs of older adults in the communities.

scholarly journals GEOGRAPHIC INFORMATION SYSTEM (GIS) FOR MAPPING OF DRUG ABUSE USING SPATIAL CORRELATION ANALYSIS IN NORTH SUMATRA PROVINCE

2020 ◽  
Vol 6 (3) ◽  
pp. 416
Author(s):  
Fitri Isnaini ◽  
Narwawi Pramudhiarta
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Drug Abuse ◽  
Secondary Data ◽  
Geographic Information ◽  
Drug Abusers ◽  
Drug Rehabilitation ◽  
Rehabilitation Center ◽  
Geospatial Technology ◽  
North Sumatra

<div><div><p class="Els-history-head">Drug abuse is a problem that affects almost every country in the world including Indonesia. In the long term, it has the potential to disrupt competitiveness, weaken national resilience, and can hinder the progress of a nation. North Sumatra is a province that has the highest prevalence of drug abusers in Indonesia,  which none of the villages in this Province is free from drug abuse. The North Sumatera Province also has the highest number of drug abusers undergoing rehabilitation at the BNN Rehabilitation Center. The use of geospatial technology can help understand the phenomenon of drug abuse by area or spatial. One of the geospatial technology that commonly uses is the Geographic Information System (GIS). This study aims to show that GIS can be used in mapping drug-prone areas in North Sumatra based on North Sumatran people undergoing drug rehabilitation. The method used is a retrospective based on secondary data and spatial statistics in GIS. The environment prone to drug abuse based on the number of people undergoing drug rehabilitation at the BNN Rehabilitation Center from North Sumatra is divided into 3 zones based on the number of clients distributed in BNN Rehabilitation Center, namely red, yellow and green. Red zone 3 cities/districts namely Deli Serdang, Medan, and Binjai with 9 sub-districts namely Percut Sei Tuan, Medan Amplas, Medan Helvetia, Medan Tembung, Medan Perjuangan, Binjai Utara, Medan Sunggal, Medan Johor, Medan Timur. The yellow area has 25 districts, the green area is 103 districts. In a conclusion, the Geographic Information System (GIS) is a technology that can be used to map drug-prone areas.</p></div></div>

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>

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