Clustering and visualization of community complaints and proposals using text mining and geographic information system

Arian Dhini; I. B.N.Sanditya Hardaya; Isti Surjandari Prajitno; Hardono

doi:10.1109/ICSITech.2017.8257098

Clustering and visualization of community complaints and proposals using text mining and geographic information system

Arian Dhini, I. B.N.Sanditya Hardaya, Isti Surjandari Prajitno, Hardono

Department of Industrial Engineering

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

1 Citation (Scopus)

Abstract

Urban planners have been striving to enhance citizens' participation in urban planning processes. In Indonesia, the Government of Jakarta developed an e-participation tool called e-Musrenbang to directly involve public in submitting complaints and proposals. However, there was no systematic method used by the Government to analyze and map a lot of complaints and proposals data. The big number of complaints and proposals requires data mining approach to automating the process of extracting knowledge from the data set. This study aimed to perform text clustering to obtain the specific topics of community reports and to visualize the intensity of each topic in the urban area. This study is a subsequent stage of research, after urban problem classification. The results of text clustering showed that majority of public complaints and proposals are associated with drainage and roadwork. This research showed the spread of public reports intensity in the urban area by visualizing the text clustering results using Geographic Information System.

Original language	English
Title of host publication	Proceeding - 2017 3rd International Conference on Science in Information Technology
Subtitle of host publication	Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
Editors	Rafal Drezewski, Goutam Chakraborty, Shah Nazir, Lala Septem Riza, Ummi Raba'ah Hashim, Aji Prasetyo Wibawa, Yaya Wihardi, Andri Pranolo, Enjun Junaeti, Shi-Jinn Horng, Heui Seok Lim, Leonel Hernandez
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	132-137
Number of pages	6
ISBN (Electronic)	9781509058662
DOIs	https://doi.org/10.1109/ICSITech.2017.8257098
Publication status	Published - 12 Jan 2018
Event	3rd International Conference on Science in Information Technology, ICSITech 2017 - Bandung, Indonesia Duration: 25 Oct 2017 → 26 Oct 2017

Publication series

Name	Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
Volume	2018-January

Conference

Conference	3rd International Conference on Science in Information Technology, ICSITech 2017
Country/Territory	Indonesia
City	Bandung
Period	25/10/17 → 26/10/17

Keywords

complaints and proposals
geographic information system
self-organizing maps
text mining
visualization

Access to Document

10.1109/ICSITech.2017.8257098

Cite this

Dhini, A., Hardaya, I. B. N. S., Prajitno, I. S., & Hardono (2018). Clustering and visualization of community complaints and proposals using text mining and geographic information system. In R. Drezewski, G. Chakraborty, S. Nazir, L. S. Riza, U. R. Hashim, A. P. Wibawa, Y. Wihardi, A. Pranolo, E. Junaeti, S.-J. Horng, H. S. Lim, & L. Hernandez (Eds.), Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017 (pp. 132-137). (Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSITech.2017.8257098

Dhini, Arian ; Hardaya, I. B.N.Sanditya ; Prajitno, Isti Surjandari et al. / Clustering and visualization of community complaints and proposals using text mining and geographic information system. Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017. editor / Rafal Drezewski ; Goutam Chakraborty ; Shah Nazir ; Lala Septem Riza ; Ummi Raba'ah Hashim ; Aji Prasetyo Wibawa ; Yaya Wihardi ; Andri Pranolo ; Enjun Junaeti ; Shi-Jinn Horng ; Heui Seok Lim ; Leonel Hernandez. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 132-137 (Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017).

@inproceedings{b08815d980e749ab9c1ed3a37d8ce090,

title = "Clustering and visualization of community complaints and proposals using text mining and geographic information system",

abstract = "Urban planners have been striving to enhance citizens' participation in urban planning processes. In Indonesia, the Government of Jakarta developed an e-participation tool called e-Musrenbang to directly involve public in submitting complaints and proposals. However, there was no systematic method used by the Government to analyze and map a lot of complaints and proposals data. The big number of complaints and proposals requires data mining approach to automating the process of extracting knowledge from the data set. This study aimed to perform text clustering to obtain the specific topics of community reports and to visualize the intensity of each topic in the urban area. This study is a subsequent stage of research, after urban problem classification. The results of text clustering showed that majority of public complaints and proposals are associated with drainage and roadwork. This research showed the spread of public reports intensity in the urban area by visualizing the text clustering results using Geographic Information System.",

keywords = "complaints and proposals, geographic information system, self-organizing maps, text mining, visualization",

author = "Arian Dhini and Hardaya, {I. B.N.Sanditya} and Prajitno, {Isti Surjandari} and Hardono",

year = "2018",

month = jan,

day = "12",

doi = "10.1109/ICSITech.2017.8257098",

language = "English",

series = "Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "132--137",

editor = "Rafal Drezewski and Goutam Chakraborty and Shah Nazir and Riza, {Lala Septem} and Hashim, {Ummi Raba'ah} and Wibawa, {Aji Prasetyo} and Yaya Wihardi and Andri Pranolo and Enjun Junaeti and Shi-Jinn Horng and Lim, {Heui Seok} and Leonel Hernandez",

booktitle = "Proceeding - 2017 3rd International Conference on Science in Information Technology",

address = "United States",

note = "3rd International Conference on Science in Information Technology, ICSITech 2017 ; Conference date: 25-10-2017 Through 26-10-2017",

}

Dhini, A, Hardaya, IBNS, Prajitno, IS & Hardono 2018, Clustering and visualization of community complaints and proposals using text mining and geographic information system. in R Drezewski, G Chakraborty, S Nazir, LS Riza, UR Hashim, AP Wibawa, Y Wihardi, A Pranolo, E Junaeti, S-J Horng, HS Lim & L Hernandez (eds), Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017. Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 132-137, 3rd International Conference on Science in Information Technology, ICSITech 2017, Bandung, Indonesia, 25/10/17. https://doi.org/10.1109/ICSITech.2017.8257098

Clustering and visualization of community complaints and proposals using text mining and geographic information system. / Dhini, Arian; Hardaya, I. B.N.Sanditya; Prajitno, Isti Surjandari et al.
Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017. ed. / Rafal Drezewski; Goutam Chakraborty; Shah Nazir; Lala Septem Riza; Ummi Raba'ah Hashim; Aji Prasetyo Wibawa; Yaya Wihardi; Andri Pranolo; Enjun Junaeti; Shi-Jinn Horng; Heui Seok Lim; Leonel Hernandez. Institute of Electrical and Electronics Engineers Inc., 2018. p. 132-137 (Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017; Vol. 2018-January).

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

TY - GEN

T1 - Clustering and visualization of community complaints and proposals using text mining and geographic information system

AU - Dhini, Arian

AU - Hardaya, I. B.N.Sanditya

AU - Prajitno, Isti Surjandari

AU - Hardono,

PY - 2018/1/12

Y1 - 2018/1/12

N2 - Urban planners have been striving to enhance citizens' participation in urban planning processes. In Indonesia, the Government of Jakarta developed an e-participation tool called e-Musrenbang to directly involve public in submitting complaints and proposals. However, there was no systematic method used by the Government to analyze and map a lot of complaints and proposals data. The big number of complaints and proposals requires data mining approach to automating the process of extracting knowledge from the data set. This study aimed to perform text clustering to obtain the specific topics of community reports and to visualize the intensity of each topic in the urban area. This study is a subsequent stage of research, after urban problem classification. The results of text clustering showed that majority of public complaints and proposals are associated with drainage and roadwork. This research showed the spread of public reports intensity in the urban area by visualizing the text clustering results using Geographic Information System.

AB - Urban planners have been striving to enhance citizens' participation in urban planning processes. In Indonesia, the Government of Jakarta developed an e-participation tool called e-Musrenbang to directly involve public in submitting complaints and proposals. However, there was no systematic method used by the Government to analyze and map a lot of complaints and proposals data. The big number of complaints and proposals requires data mining approach to automating the process of extracting knowledge from the data set. This study aimed to perform text clustering to obtain the specific topics of community reports and to visualize the intensity of each topic in the urban area. This study is a subsequent stage of research, after urban problem classification. The results of text clustering showed that majority of public complaints and proposals are associated with drainage and roadwork. This research showed the spread of public reports intensity in the urban area by visualizing the text clustering results using Geographic Information System.

KW - complaints and proposals

KW - geographic information system

KW - self-organizing maps

KW - text mining

KW - visualization

UR - http://www.scopus.com/inward/record.url?scp=85046673058&partnerID=8YFLogxK

U2 - 10.1109/ICSITech.2017.8257098

DO - 10.1109/ICSITech.2017.8257098

M3 - Conference contribution

T3 - Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017

SP - 132

EP - 137

BT - Proceeding - 2017 3rd International Conference on Science in Information Technology

A2 - Drezewski, Rafal

A2 - Chakraborty, Goutam

A2 - Nazir, Shah

A2 - Riza, Lala Septem

A2 - Hashim, Ummi Raba'ah

A2 - Wibawa, Aji Prasetyo

A2 - Wihardi, Yaya

A2 - Pranolo, Andri

A2 - Junaeti, Enjun

A2 - Horng, Shi-Jinn

A2 - Lim, Heui Seok

A2 - Hernandez, Leonel

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Science in Information Technology, ICSITech 2017

Y2 - 25 October 2017 through 26 October 2017

ER -

Dhini A, Hardaya IBNS, Prajitno IS, Hardono. Clustering and visualization of community complaints and proposals using text mining and geographic information system. In Drezewski R, Chakraborty G, Nazir S, Riza LS, Hashim UR, Wibawa AP, Wihardi Y, Pranolo A, Junaeti E, Horng SJ, Lim HS, Hernandez L, editors, Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 132-137. (Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017). doi: 10.1109/ICSITech.2017.8257098

Clustering and visualization of community complaints and proposals using text mining and geographic information system

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Keywords

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