scholarly journals PEMETAAN KANTOR POLISI KABUPATEN SITUBONDO BERBASIS PETA

2018 ◽  
Vol 3 (2) ◽  
pp. 227-234
Author(s):  
Ahmad Rofiqi

Situbondo Regional Police are law enforcers who work in the East Java Situbondo district. Of course, in carrying out all its duties, it requires communication and information exchange between officers and civilians to carry out police duties properly and effectively. In reality on the ground, not all Situbondo people, especially those outside Situbondo, know the geographical location of the police station in each sub-district in Situbondo district. The only way to find the Situbondo Police Station is to ask and ask someone who has visited or learned about the office. However, using this procedure requires more time and is a bit of a hassle for other people, this is due to the absence of a map pointer to deliver or give an overview of the location of the Police station. From the above problems, namely the absence of loyal Police station appointees at all times to help, it is necessary to design a Situbondo Police Station Geographical Information System that is the answer to the problems discussed above. The establishment of this system is expected to be able to assist the Police in informing the geographical location of the Police station along with important information and also assisting the public in finding the Police station quickly and effectively.

2006 ◽  
Vol 326-328 ◽  
pp. 501-504 ◽  
Author(s):  
Florin Leon ◽  
Gabriela Maria Atanasiu ◽  
Dan Gâlea

Natural hazards, and especially earthquakes, are often recurring phenomena. Therefore, there is a permanent need for solutions to reduce earthquake losses by developing technologies, procedures, knowledge, and tools for seismic design and rehabilitation of buildings and infrastructure. A key point to an effective decision making process that aims at mitigating their effects is building a model of the underlying facts. A Geographical Information System (GIS) is a framework able to assemble, keep, process and display specific information, identified by geographical location, which can combine layers of information to give the user a better understanding about that location. By using a Geographical Information System containing geospatial data, one can develop useful scenarios to reduce natural disaster risk and vulnerability of structures. In this paper, we describe a way of applying data mining techniques from the artificial intelligence field to earthquake analysis in order to make a better investigation of the available data. These methods are capable of finding “hidden” correlations among different subsets of data, which cannot be revealed by means of simple statistics.


2000 ◽  
Vol 27 (1) ◽  
pp. 3
Author(s):  
CARLOS RONEY ARMANINI TAGLIANI

The social, economics and environmental problems that arise by the fast and inadequate occupation of the coastal zones have required faster decisions and belter rational use of the public administration resources. This work shows the utilization of Geographical Information System IDRISI to environmental planning of Rio Grande county, southern Brazil. Based on digital thematic maps of geology, soils, vegetation. urban sites, legal protection areas and previous knowledge about the ecosystem under consideration, the more appropriated areas for agricultural activities, pine and eucalyptus forestry and waste disposal were mapped. The suitable environmental conditions and the technical and/or environmental restrictions were analysed for each item and then modelled in the computer using the analytical tools of the software. Furthermore, the legal protection areas were classified in conservation and preservation categories according to their environmental characteristics. The results demonstrated the potentiality and feasibility of a Geographical Information System as a powerful tool for organi13tion, analysis and decision making on municipal planning.


2020 ◽  
Vol 4 (2) ◽  
pp. 54-57
Author(s):  
Abdul Rauf ◽  
Abdul Nasir ◽  
Haroon Rashid

Groundwater is imperative for the continuance of life and sustainability of ecosystem. Contamination of the water is the well-recognized danger to the public health in Pakistan. Hence, this study was conducted to assess and map the spatial variation of groundwater quality in the surroundings of Dijkot Branch Drain by using the Geographical Information System(GIS). For this purpose, sixty samples of groundwater, ten samples of wastewater and five samples of sludge were collected along with their coordinates from the study area. The collected samples were analyzed for chemical parameters and heavy metals, such as pH, EC, TDS, Carbonates, Bicarbonates, Arsenic, Lead, Chromium, Cadmium, Zinc. The results obtained from the study were compared with WHO guidelines. Then, the values of these water quality parameters were mapped by using GIS software. Arc GIS V 10.2 was used for raster interpolation. To exhibit the spatial variation of groundwater quality scenario of the study area, Kriging method was adopted. on. It was generally observed that none of the parameters in the wastewater samples was found to be within the permissible limit. The research study resulted that the groundwater of the study area is deteriorated by Dijkot Branch Drain and is not fit for drinking purpose.


2017 ◽  
Vol 3 (2) ◽  
pp. 65
Author(s):  
Anith Nabilah Mustafa ◽  
Siti Rasidah Md Sakip

Snatch theft incidents are on the rise in Malaysia especially in the cities. It tends to happen in cities because there is a possibility to commit it and both crime and urban are often associated with each other. The aim of this paper is to find out whether the building with two or more levels in urban area contributes to the snatch theft incidents. The present study has been taken up to detect the hotspots of snatch theft in Selangor, Malaysia. The crime data were obtained by requesting and analysing the index crime statistical data from the Royal Malaysian Police (RMP). This study made use of the Geographical Information System (GIS) where its 3D modelling function to construct, assess and analyse the area with high snatch theft cases. The crime reports of 2010 until 2015 were geocoded and the crime maps were prepared in ArcGIS 10.2. It was found that the hotspot area is a mix-used development area which consists mainly of commercial and residential areas of more than two-level buildings. 


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