Urban distribution CCTV for Smart City using decision tree methods

Arif Pribadi; Fachrul Kurniawan; Mochamad Hariadi; Supeno Mardi Susiki Nugroho

doi:10.1109/ISITIA.2017.8124048

Urban distribution CCTV for Smart City using decision tree methods

Arif Pribadi
, Fachrul Kurniawan
, Mochamad Hariadi
, Supeno Mardi Susiki Nugroho

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Supervision is important in the application of Smart City. Closed-Circuit Television (CCTV) is one of the main tools of Smart City surveillance. Some CCTVs connected with Information and Communication Technology (ICT) form Smart Monitoring. In order to support Smart Mobility, CCTV is installed to monitor road conditions. The problem is the installation of CCTV which is not always appropriate with the location conditions. Consequently situations such as road density, accidents, crime can not be monitored optimally. This research aims to find the relation of type CCTV camera with location placement. Classification technology is used to construct predictive models. Using the Decision Tree algorithm obtained an accuracy of the prediction model is 87.96%.

Original language	English
Title of host publication	2017 International Seminar on Intelligent Technology and Its Application
Subtitle of host publication	Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	21-24
Number of pages	4
ISBN (Electronic)	9781538627068
DOIs	https://doi.org/10.1109/ISITIA.2017.8124048
Publication status	Published - 28 Nov 2017
Event	18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017 - Surabaya, Indonesia Duration: 28 Aug 2017 → 29 Aug 2017

Publication series

Name	2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding
Volume	2017-January

Conference

Conference	18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017
Country/Territory	Indonesia
City	Surabaya
Period	28/08/17 → 29/08/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 16 Peace, Justice and Strong Institutions

Keywords

CCTV
Data mining
Smart city

Access to Document

10.1109/ISITIA.2017.8124048

Cite this

Pribadi, A., Kurniawan, F., Hariadi, M., & Nugroho, S. M. S. (2017). Urban distribution CCTV for Smart City using decision tree methods. In 2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding (pp. 21-24). (2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA.2017.8124048

Pribadi, Arif ; Kurniawan, Fachrul ; Hariadi, Mochamad et al. / Urban distribution CCTV for Smart City using decision tree methods. 2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 21-24 (2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding).

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title = "Urban distribution CCTV for Smart City using decision tree methods",

abstract = "Supervision is important in the application of Smart City. Closed-Circuit Television (CCTV) is one of the main tools of Smart City surveillance. Some CCTVs connected with Information and Communication Technology (ICT) form Smart Monitoring. In order to support Smart Mobility, CCTV is installed to monitor road conditions. The problem is the installation of CCTV which is not always appropriate with the location conditions. Consequently situations such as road density, accidents, crime can not be monitored optimally. This research aims to find the relation of type CCTV camera with location placement. Classification technology is used to construct predictive models. Using the Decision Tree algorithm obtained an accuracy of the prediction model is 87.96\%.",

keywords = "CCTV, Data mining, Smart city",

author = "Arif Pribadi and Fachrul Kurniawan and Mochamad Hariadi and Nugroho, \{Supeno Mardi Susiki\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017 ; Conference date: 28-08-2017 Through 29-08-2017",

year = "2017",

month = nov,

day = "28",

doi = "10.1109/ISITIA.2017.8124048",

language = "English",

series = "2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding",

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Pribadi, A, Kurniawan, F, Hariadi, M & Nugroho, SMS 2017, Urban distribution CCTV for Smart City using decision tree methods. in 2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding. 2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 21-24, 18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017, Surabaya, Indonesia, 28/08/17. https://doi.org/10.1109/ISITIA.2017.8124048

Urban distribution CCTV for Smart City using decision tree methods. / Pribadi, Arif; Kurniawan, Fachrul; Hariadi, Mochamad et al.
2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2017. p. 21-24 (2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Urban distribution CCTV for Smart City using decision tree methods

AU - Pribadi, Arif

AU - Kurniawan, Fachrul

AU - Hariadi, Mochamad

AU - Nugroho, Supeno Mardi Susiki

PY - 2017/11/28

Y1 - 2017/11/28

N2 - Supervision is important in the application of Smart City. Closed-Circuit Television (CCTV) is one of the main tools of Smart City surveillance. Some CCTVs connected with Information and Communication Technology (ICT) form Smart Monitoring. In order to support Smart Mobility, CCTV is installed to monitor road conditions. The problem is the installation of CCTV which is not always appropriate with the location conditions. Consequently situations such as road density, accidents, crime can not be monitored optimally. This research aims to find the relation of type CCTV camera with location placement. Classification technology is used to construct predictive models. Using the Decision Tree algorithm obtained an accuracy of the prediction model is 87.96%.

AB - Supervision is important in the application of Smart City. Closed-Circuit Television (CCTV) is one of the main tools of Smart City surveillance. Some CCTVs connected with Information and Communication Technology (ICT) form Smart Monitoring. In order to support Smart Mobility, CCTV is installed to monitor road conditions. The problem is the installation of CCTV which is not always appropriate with the location conditions. Consequently situations such as road density, accidents, crime can not be monitored optimally. This research aims to find the relation of type CCTV camera with location placement. Classification technology is used to construct predictive models. Using the Decision Tree algorithm obtained an accuracy of the prediction model is 87.96%.

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KW - Data mining

KW - Smart city

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EP - 24

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Pribadi A, Kurniawan F, Hariadi M , Nugroho SMS. Urban distribution CCTV for Smart City using decision tree methods. In 2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2017. p. 21-24. (2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding). doi: 10.1109/ISITIA.2017.8124048

Urban distribution CCTV for Smart City using decision tree methods

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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