scholarly journals Geographic Information Systems for Crime Prone Areas Clustering

2020 ◽  
Vol 5 (2) ◽  
pp. 227
Author(s):  
Heti Mulyani ◽  
Jajang Nurjaman ◽  
Muhammad Nugraha

Crime is one of the problems that is quite complicated and very disturbing to the community. Crimes can occur at different times and places, making it difficult to track which areas are prone to such actions. K-means algorithm is used to cluster prone areas and Geographic Information System is used to map crime-prone areas. Web-based application is developed with the PHP programming language. The data used is quantitative data in the form of the number of crimes committed and the coordinates of the cases. The attributes of the crime used consist of five parameters: theft, mistreatment, rape, women and child protection cases and fraud. The results of this study are clustering areas into 3 cluster and mapping prone areas that is safe area, safe enough area and prone area. From the overall crime data for 2019 in Purwakarta district, it was found that 68.75% was safe, 18.75% was quite safe and 12.5% was prone area.

2016 ◽  
Vol 7 (2) ◽  
pp. 89-99
Author(s):  
Sutejo Sutejo

Abstrak- Dunia sistem informasi terdapat banyak model sistem informasi, kaitan pasar dengan sistem informasi geografis adalah untuk memberikan berbagai macam informasi, terutama letak geografis pasar tersebut. Pentingnya informasi ini memberi banyak inspirasi terhadap pembuat model untuk merancang sistem-sistem yang mendekati dunia nyata. Model sistem informasi juga diharapkan dapat digunakan sebagai alat prediksi kejadian di masa depan dengan mendasarkan pada data yang ada pada masa lalu dan masa sekarang. Sistem Informasi Geografis (SIG) ini di rancang untuk mengumpulkan data, meyimpan dan mengubah data, serta menganalisis objek beserta data geografis yang bersifat penting untuk di analisis. GIS yang disajikan dengan berbasis web pada perancangan ini juga dapat digunakan sebagai alat pemberian informasi kepada masyarakat luas. Hasil penelitian dengan pemodelan UML (Unified Modelling Language) sangat membantu dalam proses perancangan sebuah sistem informasi geografis pasar tradisional serta aplikasi sistem informasi geografis pasar tradisional berbasis web ini dapat digunakan sebagai sarana informasi pasar, khususnya bagi para calon pedagang yang ingin berdagang di salah satu pasar tradisional yang ada di Kota Pekanbaru. Kata Kunci : Sistem Informasi Geografis, Web, Pasar Tradisional, Pemodelan, UML. Abstract- The world of information systems provides many models of information systems, the link of market with a geographic information system is to provide various kinds of information, specially the geographical markets. The importance of this information gives a lot of inspiration for the model makers to design systems that approximates the real world. Model of information system is also expected to be used as predictors of future events by basing on the existing data on past and present. Geographic Information Systems (GIS) is designed to collect data, store and modify data, and analyzing object along with geographic data which is important for analysis. GIS is presented with a web based on this design can also be used as a tool to provide information to the general public. The results of research by modeling UML (Unified Modeling Language) is very helpful in the process of designing a geographic information system of traditional markets as well as the application of geographic information system web-based traditional market can be used as a means of market information, especially for potential traders who want to trade in one of the traditional markets in the city of Pekanbaru. Keywords: Geographic Information Systems, Web, Traditional Market, Modeling, UML.


2019 ◽  
Vol 8 (1) ◽  
pp. 39-47
Author(s):  
Zulfachmi ◽  
Angger Andrea Amanda ◽  
Dedy Jauhari

The increasing need for property in Tanjungpinang City is very growing, especially in the housing sector. Selection of property based on location and facilities and infrastructure is always a consideration for the community in making decisions to buy a property. Difficulty finding property location information in a certain area often occurs, resulting in people not getting references about the properties offered in Tanjungpinang City. The purpose of this research is to create a web-based geographic information system (GIS) regarding the distribution of the number of properties on offer, especially in Tanjungpinang City using a web-based mapping approach. In the development of Property GIS the author uses the Waterfall method and in the analysis of system requirements it is modeled with UML (Unified Modeling Language) and implemented with the PHP programming language and MySQLI database. It is hoped that the results of making this property's geographic information system can help the public to find out information about the distribution of properties offered, such as the location of property coordinates, addresses, prices, property photos, property specification data and property developer data.


Author(s):  
Bekir Bartin ◽  
Sami Demiroluk ◽  
Kaan Ozbay ◽  
Mojibulrahman Jami

This paper introduces CurvS, a web-based tool for researchers and analysts that automatically extracts, visualizes, and analyzes roadway horizontal alignment information using readily available geographic information system roadway centerline data. The functionalities of CurvS are presented along with a brief background on its methodology. The validation of its estimation results are presented using actual horizontal alignment data from two different roadway types: Route 83, a two-lane two-way rural roadway in New Jersey and I-80, a freeway segment in Nevada. Different metrics are used for validation. These are identification rates of curved and tangent sections, overlap ratio of curved and tangent sections between estimated and actual horizontal alignment data, and percent fit of curve radii. The validation results show that CurvS is able to identify all the curves on these two roadways, and the estimated section lengths are significantly close to the actual alignment data, especially for the I-80 freeway segment, where 90% of curved length and 94% of tangent section length are correctly matched. Even when curves have small central angles, such as the ones in Route 83, CurvS’s estimations covers 71% of curved length and 96% of tangent section length.


2021 ◽  
Vol 2 (3) ◽  
pp. 312-323
Author(s):  
Melvitasari Tinambunan ◽  
Sanriomi Sintaro

Android, Geographic Information Systems, RESTful, Web One of the mapping technologies widely used today is Geographic Information Systems. Geographic Information Systems (GEOGRAPHIC INFORMATION SYSTEMS) is a mapping technology in the form of computer-based information systems, designed to work using data that has spatial information or spatial reference. Mapping technology is widely used to facilitate human work. In this research, Geographic Information System technology was used to support one of the business processes at the Bandar Lampung City Tourism Office. This system was built to assist related agencies in recording tourist sites. The system consists of a web-based system and Android-based applications that are connected using RESTful Web Service. The system is implemented using the PHP programming language with the help of CodeIgniter for web-based systems, and the Java programming language for Android-based applications. The method of developing the system used is the waterfall model method according to Rossa U.S. and Saladin (2014). Application design is based on Unified Modeling Language (UML), flowchart diagrams, and interface design. While the application used in the creation of the Android base system is Android Studio. The testing method used is the system's functional Black-Box. The results of black-box testing data show that the system runs as it should, the system is easy to understand by users, and can meet the functional needs of the system needed by the Bandar Lampung City Tourism Office


2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Rahma Wayan Lestari ◽  
Indra Kanedi ◽  
Yode Arliando

The purpose of this research is to create a geographic information system Bengkulu city flood-prone areas using ArcView. Apply the knowledge obtained during the lecture, especially relating to the development of Geographic Information Systems. To be able to produce a system that is accurate and useful information for the community. Where the research was conducted in the city of Bengkulu BASARNAS. Bengkulu BASARNAS office specializing in Search and Rescue (SAR), is the body that manage the flood of data that is still done manually, using Microsoft Word and Microsoft Excel. Thus experiencing problems in delivering information directly to the office because the SAR agencies require a long time.Keywords: Geographic Information System, Flood Prone Area


2017 ◽  
Vol 1 (2) ◽  
pp. 27
Author(s):  
I Made Arsa Suyadnya ◽  
Duman Care Khrisne

Southern part of Bali, especially the regency of Badung, in addition to having natural beauty and popular tourist attraction, it has a high potential for disaster. The fact is the coastline of Bali in the south is prone to tsunami because Bali is located close to the colliding zone between the Indo-Australian plate and the Eurasia plate, which presents the main source of local tsunami that could hit the island of Bali. This research undertakes the design and development of a Geographic Information System (GIS) that can provide information and socialization of potential tsunami impact areas and safe gathering places for coastal tourism area in Badung regency. This application is built web-based by using Google Maps API v3. In this Geographic Information System, users can identify potential tsunami impact areas, obtain information on evacuation methods in the event of a tsunami disaster and can find the nearest safe gathering places to do evacuation. By utilizing geolocation and direction services from Google Maps API v3, simulation of the nearest evacuation route has been successfully built. Evacuation is done by considering two possible evacuation sites. The first possibility is to evacuate to the nearest vertical high building, and the second evacuation site is away from the danger zone (red zone) and towards the safe zone (yellow zone or outside the yellow zone).


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