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Challenge Urban Asia

Autor:   •  September 20, 2015  •  Coursework  •  664 Words (3 Pages)  •  684 Views

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Title

CrimeVisJawaTimur

Data

Public Data

The data collected was in a form of Microsoft Excel file that contains criminality lists occurred between the year of 2012 until 2014

How to collect the data:

Steps completed in order to collect the relevant data:

  • Wrote an official cover letter from the university regarding to necessary materials and matters.
  • The letter was delivered directly to Polda Jawa Timur.
  • Received a reply letter from Polda Jawa Timur in respect to the allowance to collect the data from them.
  • Polda Jawa Timur directed us to the criminality division: Reskrimum.
  • Reskrimum brought us to meet with the Head of Division where we explained the purposes of using the data.
  • Reskrimum sent the Head of Polda Jawa Timur a letter regarding to our request and purposes.
  • The Head of Polda Jawa Timur granted the request and provided the necessary data.

Applicants

Affiliation

Intitut Teknologi Sepuluh Nopember

Semester

8

Name

Erico Prabuzan Ardelino

Contact Information:

ericoprabuzana@gmail.com 

Affiliation

Intitut Teknologi Sepuluh Nopember

Semester

8

Name

Sulton Maarif

Contact Information:

st.sulton99@gmail.com

Affiliation

Boston University

Semester

6

Name

Nadea Lazuardani Zahra

Contact Information:

nzahra@bu.edu

Topic

Perlindungan Sosial dan Kesejahteraan (Social Security and Prosperity)

Criminality Data in East Java

Background

  • Criminality is an action, intentionally or unintentionally committed, which violates the law. Criminality is one of the major issues due to various kinds of crimes and limited accessible information from the law officers, and therefore distance the society from understanding what has been happening. The low awareness of the society drives the criminality rate among them.[1]
  • The high criminality rate in Indonesia is caused by different influential aspects, such as age, victims pattern, attacks pattern, classification of crimes, the region of crimes, and so on.[2]
  • In 2013, Polda Jawa Timur settled down crimes for 69,61% or 21.090 cases out of 30.285 reported cases.
  • With respect to all of the above’s problems, we propose to develop CrimeVisJawaTimur application. It is a web-based application, which shows an informational map about crime patterns in East Java. The data used is from Polda Jawa Timur, which then visualized based on the location of the 38 police offices under the authority of Polda Jawa Timur.

The proposed approach (if any):

  • A map that shows criminality data in East Java.
  • The case study to objectify this approach is criminality cases of the entire police offices in East Java. Based on the obtained data, in the year of 2012-2013, crimes in East Java was ranked at the 2nd place after DKI Jakarta.
  • The technique applied to create visual data analysis uses shape file in East Java into application R. While library shiny in application R is used to create user interface display. Additional features, in order to frame the interactive map from shape file, make use of chloropleth map.

DATA USED

The criminality data is obtained from Dit Reskrimun Polda Jawa Timur, specifically from 38 police offices under the authority of Polda Jawa Timur.

       Table 1. Lists of Police Offices in East Java

No

Police

No

Police

No

Police

No

Police

1

Restarebes Surabaya

11

Lumajang

21

Nganjuk

31

Tuban

2

Gresik

12

Situbondo

22

Blitar Kota

32

Mojokerto

3

Sidoarjo

13

Bondowoso

23

Madiun Kota

33

Jombang

4

Malang Kota

14

Jember

24

Madiun

34

Mojokerto Kota

5

Malang Kab

15

Banyuwangi

25

Ponorogo

35

Pamekasan

6

Pasuruan

16

Kediri Kota

26

Magetan

36

Sumenep

7

Probolinggo

17

Kediri

27

Ngawi

37

Sampang

8

Batu

18

Tulungagung

28

Pacitan

38

Bangkalan

9

Pasuruan Kota

19

Trenggalek

29

Bojonegoro

10

Probolinggo Kota

20

Blitar

30

Lamongan

Subsequently, the data provided by these 38 police offices has conventional criminality information, for instances:

Table 2. Conventional Type of Criminality

No

Criminality Type

No

Criminality Type

1

Curat

9

Gambling

2

Curas

10

Forgery

3

Motorcycle Larceny

11

Vandalism

4

Anirat

12

Abduction

5

Arson

13

Fraud

6

Murder

14

Embezzlement

7

Extortion

15

Senpi Handak Sajam

8

Rape

16

Adolescent Mischief

PROJECT WORK FLOW

[pic 1]

SYSTEM WORK FLOW

[pic 2]

Criminality data that has been treated will be included to the server. From the server, data will be visualized by the website. Therefore, users can access data that is visualized.

APPLICATION PROTOTYPE

[pic 3]

OBSTACLES IN THE PROCESS OF THE PROJECT

  • The existed data cannot be accessed online, has to get an approval from Polda Jawa Timur.

What differentiates the current method from our proposed method:

The existed application in the matter of criminality is as follow:

Application Name

Data Source

Information

Denver Crime Map Visualization

http://data.denvergov.org/dataset/city-and-county-of-denver-crime.html 

Denver’s criminality data in the year of 2010-2015

Denver crime map is an open data created by Denver Police Department and uploaded to their government site. This information system uses chloropleth map technique that shows cluster crime density based on the type of criminality and time of the region.

...

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