Binus University Repository

Anggraeni, Adilla

Form Reviewer "Consumption and Counterfeits:The Role of Brand Familiarity, Perceived Quality and Anticipated Regrets"

Girsang, Abba Suganda

Check 8. JEMT Analysis of
Satisfaction Factor SCopusb.pdf
by Arta Moro Sundjaja
Submission date: 06-Nov-2018 09:47AM (UTC+0700)
Submission ID: 619532227
File name: 8._JEMT_Analysis_of _Satisf action_Factor_SCopusb.pdf  (1.01M)
Word count: 4150
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Check 8. JEMT Analysis of Satisfaction Factor SCopusb.pdf
ORIGINALITY REPORT
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www.asers.eu
Internet  Source
Submitted to Universitas Islam Indonesia
Student  Paper
Submitted to University of Florida
Student  Paper
Submitted to Universitas Pendidikan Indonesia
Student  Paper
Submitted to Informatics Education Limited
Student  Paper
Submitted to School of Business and
Management ITB
Student  Paper
researcharchive.vuw.ac.nz
Internet  Source
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English

Similarity "Analysis of satisfaction factor for development recommendation tourism web system"

Sasmoko, Sasmoko

Check JJA Prof Sasmoko _
Scopus 2016 - 4 - Neuroresearch
method A synthesis between
hermeneutics and positivism.pdf
by Arta Moro Sundjaja
Submission date: 13-Aug-2018 11:19AM (UTC+0700)
Submission ID: 619530743
File name: earch_method_A_synthesis_between_hermeneutics_and_positivism.pdf  (811.99K)
Word count: 6109
Character count: 36828













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Check JJA Prof Sasmoko _ Scopus 2016 - 4 - Neuroresearch
method A synthesis between hermeneutics and positivism.pdf
ORIGINALITY REPORT
PRIMARY SOURCES
www.ingentaconnect.com
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irep.iium.edu.my
Internet  Source
Sigit Wijaksono, Sasmoko, Y Indrianti, SA
Widhoyoko. "Jakarta socio-cultural ecology: a
sustainable architecture concept in urban
neighbourhood", IOP Conference Series: Earth
and Environmental Science, 2017
Publicat ion
M Anaperta, H Helendra, R Zulva. "Validity of
High School Physic Module With Character
Values Using Process Skill Approach In STKIP
PGRI West Sumatera", IOP Conference Series:
Materials Science and Engineering, 2018
Publicat ion
Submitted to Universiti Malaysia Sabah
Student  Paper
journal.binus.ac.id
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Similarity "Neuro Research Method: A Synthesis Between Hermeneuutics and Positivism"

Check B2 Journal Commit-2.pdf
by Arta Sundjaja
Submission date: 09-Oct-2019 03:50PM (UTC+0700)
Submission ID: 1102510027
File name: B2_Journal_Commit-2.pdf (576.89K)
Word count: 1904
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College
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Student Paper
www.scintilla.utwente.nl
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Zhang, Wen, Song Wang, and Qing Wang.
"KSAP: An approach to bug report assignment
using KNN search and heterogeneous
proximity", Information and Software
Technology, 2016.
Publication
Andrés Anabalón, Nathalie Deruelle, Félix-Louis
Julié. "Einstein-Katz action, variational principle,
Noether charges and the thermodynamics of
AdS-black holes", Journal of High Energy
Physics, 2016
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Similarity "Optimization of the Bugs Classification of the Ticketing System in Software Development: a Study Case"

 Online ISBN 978-981-287-988-2, Print ISBN 978-981-287-986-8 
https://link.springer.com/chapter/10.1007/978-981-287-988-2_13 
 
Proceedings of Second International Conference on 
Electrical Systems, Technology and Information 
2015 (ICESTI 2015) 
 Chapter 13, pp 123-129, 2016 
 
Multi-objective Using NSGA-2 for Enhancing the 
Consistency-Matrix 
Abba Suganda Girsang1, Sfenrianto2, Jarot S. Suroso2 
 
1 Master Information Technology, Bina Nusantara University, Jakarta, Indonesia 
2 Master Management Information System, Bina Nusantara University, Jakarta, Indonesia 
 
 
DOI: https://doi.org/10.1007/978-981-287-988-2_13 
 
 
 
 
 
 
 
 
 
 
 
Editorial Board 
 
Editors 
Felix Pasila 
Department of Electrical Engineering 
Petra Christian University 
Surabaya Indonesia 
 
Yusak Tanoto 
Department of Electrical Engineering 
Petra Christian University 
Surabaya Indonesia 
 
Resmana Lim 
Department of Electrical Engineering 
Petra Christian University 
Surabaya Indonesia\ 
 
Murtiyanto Santoso 
Department of Electrical Engineering 
Petra Christian University 
Surabaya Indonesia 
 
Nemuel Daniel Pah 
University of Surabaya 
Surabaya Indonesia 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Table of Contents 
 
 
 
 
 
 
 
 
 
  
 
 
  
  
 
 
  
  
  


Committee "Multi-objective using NSGA-2 for enhancing the consistency-matrix"

Meyliana, Meyliana

Check 22. Integrating E-
SERVQUAL and Kano Model
into Quality.pdf
by Arta Sundjaja
Submission date: 12-Sep-2019 11:33AM (UTC+0700)
Submission ID: 1102519596
File name: 22._Integrating_E-SERVQUAL_and_Kano_Model_into_Quality.pdf (2.11M)
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Check 22. Integrating E-SERVQUAL and Kano Model into
Quality.pdf
ORIGINALITY REPORT
PRIMARY SOURCES
www.igi-global.com
Internet Source
Submitted to Trident University International
Student Paper
www.scribd.com
Internet Source
Inaki M. Hakim, Rossy Nicoline Subrana.
"Designing Strategies for Improving the Quality
of Ragunan Wildlife Park Service using Quality
Function Deployment Method", Proceedings of
the 4th International Conference on Industrial
and Business Engineering - ICIBE' 18, 2018
Publication
Submitted to University of Huddersfield
Student Paper
Mark Springer, Craig K. Tyran. "chapter 32 The
Dimensions of E-Service Quality", IGI Global,
2016
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Hamed Taherdoost, Ali Hassan. "chapter 11
Development of an E-Service Quality Model
(eSQM) to Assess the Quality of E-Service", IGI
Global, 2020
Publication
www.service-design-network.org
Internet Source
files.ebook777.com
Internet Source
Submitted to Anglia Ruskin University
Student Paper
Alan D. Smith. "chapter 79 Beneficial E-
Personalization and Related Technological
Innovations Applied to E-Tailing", IGI Global,
2018
Publication
Submitted to Qatar University
Student Paper
Chin-Feng Lin, Chen-Su Fu, Chia-Chun Li.
"Integrating means-end chains and the Kano
model to understand tourists’ cognitive structure
toward leisure and recreational resources of
suburban-mountains", Asia Pacific Journal of
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Tourism Research, 2017
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Journal of Research in Interactive Marketing,
Volume 6, Issue 1 (2012-05-26)
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repository.lppm.unila.ac.id
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www.i-scholar.in
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journals.ama.org
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Submitted to University of Sheffield
Student Paper
cesmaa.eu
Internet Source
Submitted to National University of Singapore
Student Paper
Kijpokin Kasemsap. "chapter 2 Mastering Social
Media in the Modern Business World", IGI
Global, 2017
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www.rug.nl
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María T. Lamata, Daymi Morales Vega. "chapter
5 Soft Computing in the Quality of Services
Evaluation", IGI Global, 2014
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www.safaribooksonline.com
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digbib.ubka.uni-karlsruhe.de
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www.airitilibrary.com
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K. G. Durga Prasad, K. D. S. Sravani, B. L.
Manasa. "chapter 5 Kano-HOQ-GRA Hybrid
Methodology for Customer-Driven Product
Development", IGI Global, 2019
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publicacoes.apq.pt
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Kim, Jiyoung, Youngjung Geum, and Yongtae
Park. "Integrating customers' disparate
technology readiness into technological
requirement analysis: an extended Kano
approach", Total Quality Management &
Business Excellence, 2015.
Publication
dspace2.creighton.edu
Internet Source
digital.library.unt.edu
Internet Source
Khawaja Fawad Latif, Imran Latif, Umar Farooq
Sahibzada, Mohsin Ullah. "In search of quality:
measuring Higher Education Service Quality
(HiEduQual)", Total Quality Management &
Business Excellence, 2017
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Sreekumar, Rema Gopalan, Biswajit Satpathy.
"An Integrated Approach Using Interpretive
Structural Modeling and Quality Function
Deployment for Improving Indian Retail Service
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Quality", International Journal of Business
Analytics, 2019
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edoc.site
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jbrmr.com
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libres.uncg.edu
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me.buet.ac.bd
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Durugbo, Christopher. "Managing industrial
service co-design: identifying challenges from
technology firms", Service Industries Journal,
2014.
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Suaini Sura, Jongchang Ahn. "The effects of
service quality determinants on social
networking site-based commerce: the Malaysian
customers’ perspective", Total Quality
Management & Business Excellence, 2017
Publication
Hasan Dinçer, Serhat Yüksel, Fatih Pınarbaşı.
"chapter 20 Kano-Based Measurement of
Customer Expectations in Retail Service
Industry Using IT2 DEMATEL-QUALIFLEX", IGI
Global, 2020
Publication
Submitted to University of Technology, Sydney
Student Paper
epdf.tips
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jjlsite.onward.nl
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tutcris.tut.fi
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dspace.tul.cz
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Margarita García Sanchis, Irene Gil Saura,
Gloria Berenguer Contrí, Maria Fuentes Blasco.
"chapter 9 Cross-Cultural Approach to
Evaluation of University Services", IGI Global,
2014
Publication
etds.must.edu.mo
Internet Source
Ahad Zare Ravasan, Mohammad Amin Zare.
"chapter 13 A Framework for Assessing
Websites Quality", IGI Global, 2018
Publication
Manish Kumar Yadav, Alok Kumar Rai, Medha
Srivastava. "Exploring the Three- Path
Mediation Model", International Journal of
Customer Relationship Marketing and
Management, 2014
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koreascience.or.kr
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invisiblewater.org
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I Gede Mahatma Yuda Bakti, Sik Sumaedi. "P-
TRANSQUAL: a service quality model of public
land transport services", International Journal of
Quality & Reliability Management, 2015
Publication
fac.ksu.edu.sa
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epubs.scu.edu.au
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Muhammad Rifki Shihab, Fauria Bisara,
Achmad Nizar Hidayanto, Kongkiti Phusavat,
Ribut Purwanti. "chapter 105 Understanding M-
Commerce Quality and Its Impacts on Impulsive
Purchasing Behavior", IGI Global, 2016
Publication
iris.unime.it
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Student Paper
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scholarbank.nus.edu.sg
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Student Paper
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Student Paper
Junario Wibawa, Meyliana, Henry A. E. Widjaja,
Achmad Nizar Hidayanto. "Integrating IS
Success Model, SERVQUAL and Kano Model
into QFD to improve Hospital Information
System quality", 2016 International Conference
on Information Management and Technology
(ICIMTech), 2016
Publication
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ejise.com
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Information Systems Science
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e-journal.unair.ac.id
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ifets.info
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thescholarship.ecu.edu
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uir.unisa.ac.za
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Johan de Jager, Gbolahan Gbadamosi.
"Predicting students' satisfaction through service
quality in higher education", The International
Journal of Management Education, 2013
Publication
Submitted to University of Hong Kong
Student Paper
Reza Salehzadeh, Arash Shahin, Ali Kazemi, Ali
Shaemi Barzoki. "Proposing a new approach for
evaluating the situational leadership theory
based on the Kano model", International Journal
of Public Leadership, 2015
Publication
eprints.utar.edu.my
Internet Source
Muslim Amin, Zaidi Isa. "An examination of the
relationship between service quality perception
and customer satisfaction", International Journal
of Islamic and Middle Eastern Finance and
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Management, 2008
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Technology, Yemen
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pezzottaitejournals.net
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www.cothm.ac.cy
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epubl.ltu.se
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repository.nwu.ac.za
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scholarsmine.mst.edu
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ursula-schinzel.com
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cipsf.my
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ore.exeter.ac.uk
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aut.researchgateway.ac.nz
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lib.tkk.fi
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Haegeun Song. "A critical review of Kano's
wording and its impact on attribute classification:
a case study of smartphone in Korea", Total
Quality Management & Business Excellence,
2016
Publication
iceb.nccu.edu.tw
Internet Source
www.emrbi.org
Internet Source
Submitted to Eastern Mediterranean University
Student Paper
Suleyman M. Yildiz. "Service quality evaluation
in the school of physical education and sports:
An empirical investigation of students'
perceptions", Total Quality Management &
Business Excellence, 2012
Publication
Submitted to City University of Hong Kong
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conference.navy.lk
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www.informationr.net
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koara.lib.keio.ac.jp
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thescipub.com
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lib.euser.org
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docplayer.net
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Kuo-Chien Chang, Mu-Chen Chen. "Applying
the Kano model and QFD to explore customers'
brand contacts in the hotel business: A study of
a hot spring hotel", Total Quality Management &
Business Excellence, 2011
Publication
Submitted to Northcentral
Student Paper
Submitted to University of Bath
Student Paper
Achmad Nizar Hidayanto, Fanny Rofalina, Putu
Wuri Handayani. "chapter 13 Influence of
Perceived Quality of Official University Websites
to Perceived Quality of University Education and
Enrollment Intention", IGI Global, 2015
Publication
Sangeeta Sahney. "Delighting customers of
management education in India: a student
perspective, part II", The TQM Journal, 2011
Publication
Submitted to Graduate Technological Education
Institute of Piraeus
Student Paper
Service Quality for Facilities Management in
Hospitals, 2016.
Publication
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Malaysia
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Hasil Similarity "Integrating E-SERVQUAL and Kano Model into Quality Function  Deployment to Improve Website Service Quality: An Application to University’s Website "

Lumban Gaol, Ford

Check 18. Delivering an
Interactive Presentation in
supporting if Dynamic Teaching
method with an IT Blueprint.pdf
by Arta Sundjaja
Submission date: 29-Apr-2019 02:57PM (UTC+0700)
Submission ID: 1102509668
File name: n_supporting_if _Dynamic_Teaching_method_with_an_IT_Blueprint.pdf  (232.69K)
Word count: 3738
Character count: 20959






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Check 18. Delivering an Interactive Presentation in supporting
if Dynamic Teaching method with an IT Blueprint.pdf
ORIGINALITY REPORT
PRIMARY SOURCES
www.europment.org
Internet  Source
Jurike V. Moniaga, Maria Seraphina Astriani,
Sharon Hambali, Yangky Wijaya, Yohanes
Chandra. "Chapter 56 The Implementation of
MDA Framework in a Game-Based Learning in
Security Studies", Springer Nature, 2018
Publicat ion
borneostudies.org
Internet  Source
Astriani, Maria Seraphina, Satrio Pradono, and
Hoga Saragih. "IT Blueprint for Education
Institution", 2010 Second International
Conference on Advances in Computing Control
and Telecommunication Technologies, 2010.
Publicat ion
spotidoc.com
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media.neliti.com
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Hetty Rohayani, Ford Lumban Gaol, Benfano
Soewito, Harco Leslie Hendric. "Estimated
measurement quality software on structural
model academic system with Function Point
Analysis", 2017 International Conference on
Applied Computer and Communication
Technologies (ComCom), 2017
Publicat ion
www.wseas.us
Internet  Source
www.naun.org
Internet  Source
Henny Hendarti, Lianawati Christian, Angelina
Permatasari, Maryani. "The user friendly
features and menu of user satisfaction of
teaching and learning at university in Jakarta",
2016 International Conference on Information
Management and Technology (ICIMTech), 2016
Publicat ion


Hasil Similarity "Delivering an interactive presentation in supporting of dynamic teaching method with an IT Blueprint framework: IT Initiative-ITBluTric"

Purnomo, S.Kom., M.Kom., Fredy

Heryadi, Yaya

Yoseph Ricky, Michael

Smart City’s Context Awareness Using Social 
Media
Fredy Purnomo
School of Computer Science
Bina Nusantara University
Jakarta, Indonesia
fpurnomo@binus.edu
Michael Yoseph Ricky
School of Computer Science
Bina Nusantara University
Jakarta, Indonesia
mricky@binus.edu
Yaya Heryadi
School of Computer Science
Bina Nusantara University
Jakarta, Indonesia
yayaheryadi@binus.edu
Ford Lumban Gaol
Doctoral of Computer Science
Bina Nusantara University
Jakarta, Indonesia
fgaol@binus.edu
Increasing number of social media users in urban areas , leading 
to a new era of openness of public emotion. Most citizens are 
literate digital world took part in the role of citizen journalism to 
report events, disseminate information, to express emotions, form 
an opinion and to voice expectations.
"We define s Smart City as one that uses information and 
communications technology to make both its critical infrastructure 
and its components and public services more interactive, efficient 
and better known to its residents. In the broadest sense, a city can 
be regarded as 'smart' when its investments in human and social 
capital and in its communications infrastructure foment 
sustainable economic development and a high standard of living 
along with the wise management of natural resources by an 
engaged government" [1].
Smart City is a city that is combined with computers , the data and 
analytics that can produce a portrait of the model and condition of 
the city as well as the prediction of the crucial needs of a city in
order to sustain in the future.
Smart cities are all about how computers, data, and analytics, 
which consist of models and predictions, are being embedded into 
cities [9].
Smart City by IBM divided into 6 Characteristics [ 1 ] , [ 2 ] , the 
Smart Economy, Smart Mobility, Smart Government, Smart 
People, Smart Living and Smart Environment . Each of these 
characteristics has a specific role to safeguard the sustainability of 
a city. (See Figure 1)
Fig. 1. Six Characteristics of the Smart City Model (IBM) [2]
People as main focus in smart city issue. A smart city aims to 
improve urban functions and provided services with people acting 
as active sensors, that includes Citizen’s feelings, Perception and
well-being and Emotion-aware city
There are 2 ways to do observation of the Objective and 
Subjective observations [ 3 ] :
Objective observations using statistical data and questionnaires 
without involving the emotions of the city's population, including:
•  Socio-demographic statistics 
• Questionnaires
I. INTRODUCTION
II. SMART CITY AND SOCIAL MEDIA
Abstract—The  increasing  number  of  inhabitants  of  a  city  , 
there will be more challenges in the management of the city. 
Many events that can not be controlled by either causing 
the  slow response  of  the  relevant  institutions.  Sensing the 
smart city through social media is offered for such a solution. 
Text mining is done to analyze the social media posts based on 
events that occurred and the emotion that follows is based 
on text, hashtag and geo- tagging. Methodology used is 
text  mining  approach  kernel  methods,  particularly  the 
support  vector  machine  (SVM).  Results  are  expected 
with  this  concept  is  the  city  that  can  listen  to  the 
aspirations  and  desires  of  the  population  quickly  and 
accurately. 
Keywords—Smart city, text mining, context awareness, social 
media, SVM. 
1192016 International Conference on ICT For Smart Society
Surabaya, 20-21 July 2016
ISBN : 978-1-5090-1620-4
978-1-5090-1620-4/16/$31.00 ©2016 IEEE
A. Smart City
B. Context Awareness
• Biometric sensors 
Subjective observations using direct observations or perceptions 
of social media involving city residents , including :
• Social Media : 
• Text : Facebook, Twitter
• Picture : Instagram, Pinterest
• Video : Youtube, Vine
• Chat : Whatsapp, BBM, Telegram
• Job : Linked In
• Sound : Smule, Shazam, 
• Related with people’s perception and feelings to  
characterize its emotional dimension [4]
According to [5], to address the problem discussed earlier, a near 
real-time system has been designed that is :
• personalized: alerts are based on citizen’s preferences, 
demographics and information in the social web
• context-aware: alerts are forwarded to the citizen 
depending on the citizen’s current and future context
• knowledge-based: reasoning is done on the fly to infer 
dynamically changing knowledge that aids the system to 
decide whether to forward an alert to a particular citizen 
or not.
Everyday, 40% of the world’s 7 billion people go online to 
search, cerate, learn and engage in social networking. Billions of 
likes and links, tweets and thumbls, vines and videos, pics and pin 
and pluses.
The number of users of social media in Indonesia continues to 
grow in recent years. Since 2011 every year there is an increase of 
30% against the new members in social media. Either old or new 
social media. In 2014 Indonesia became the second largest 
country in Fabook and the fifth largest country in Twitter.
Tabel 1 Social Media Trend in Indonesia
Preferences Condition Value
Media Internet cafe
Mobile phone 
Home 
65%
48%
19 %
Internet 
Penetration 
(21%, 2nd Largest 
facebook nation)
Facebook 
Twitter 
Blog 
Kaskus 
Foursquare 
38.860.460 users
5.679.651 users
5.270.658 users
2.600.000 users
312.000 users
Age 13 – 17 years
18 – 24 years
25 – 34 years
35- 44 years
45+ years
24%
41%
24%
8%
3%
Gender Male
Female
60%
40%
Twitter Usage 
based on days
Monday 
Tuesday 
Wednesday 
13%
14%
14.10%
Thursday 
Friday 
Saturday 
Sunday 
17.20 %
13%
13.8%
14.10 %
Twitter Usage 
based on time 
Early Morning 
Morning 
Afternoon 
Night 
11%
30%
26%
33%
Time to React Younger
18-25
Older
55+
First to react
First 24 hours
Day + 1
1-2 weeks
Kernel Methods are a class of algorithms for pattern analysis with 
a number of convenient features [6]. They can deal in a uniform 
way with a multitude of data types and can be used to detect many 
types of relations in data. Popular kernel functions include linear 
kernel, polynomial kernel and RBF(radial basis function) kernel 
[7]. 
Text categorization plays a crucial role in both academic and 
commercial platforms due to the growing demand for automatic 
organization of documents [7]. Kernel-based classification  
algorithms such as Support Vector Machines (SVM) have become 
highly popular in the task of text mining.
Support Vector Machine is the best kernels method to handle 
binary classification,  noisy datasets, multiclass classification, 
regression and novelty detection [8].
Class Meanings Kernel [7]  mainly consists of four modules: 
preprocessing, meaning calculation, building semantickernel, and 
classification. Preprocessing is the step to convertion of input 
documents into formatted information, this process include 
stemming and stopword filtering. In meaning calculation step 
consider the meaning values of the terms according to the classes. 
Building semantic modelis a process to construct proposed kernel. 
And then, classification step uses SVM classifier to builds a 
model in the training phase and this model is applied to the test 
examples in the test phase.(see Figure 2)
The main function of kernel method for pattern analysis are 
capable to classification, clustering and factor analysis [6]. 
Classification, is to find a function of the data that can be used to 
correctly assign a data item (document) to one of a finite set of 
categories. Support Vector Machine algorithm  is the classic 
method from machine learning. Clustering, is partitioning the 
samples in coherent groups. K-means is common method in 
clustering. Factor Analysis, when the data is high dimensional, 
often the interesting information contained by the data can be 
explained by a number of underlying factor much smaller than 
this dimensionality.The best known of these is principal 
component analysis (PCA) and canonical correlation analysis 
(CCA).
III. METHODOLOGY
120
C. Social Media 
Figure 2 The Architecture of Class Meanings Kernel (CMK) System
Town described as an individual who has the perspective and
aware of their surroundings. A city has a population that each 
individual has a perspective. Perspective is meant here is the 
understanding of the events around and form an opinion how the 
pattern of view. Perspective compound of each population will be 
convergen form a single perspective that represents an outline of 
the individual perspective.
An easy way to gain perspective is through polling. However, the 
poll must be specifically determined at the beginning and then 
subsequently measured. While the events in the city is very 
diverse and unpredictable.
Social media as a place to share information from the population. 
Any information shared, commented and responded to by the 
general public or a limited group. Every event can be raised issue 
became a hot topic. The more people who like, comment or re-
share defines the success of a topic. Social media is a place for 
sharing of unstructured and full creativity messages of the 
population. If it can be quantified, it can generate the expected 
results.
Twitter hashtag introduced in 2007 with the hash symbol ( # ) 
followed by a word / phrase to be joined. Hastag usually placed 
behind the phrase that became the body of the message. This 
explains the hashtag type of label or metadata that is used to 
facilitate the search for similar topics. For example, posting on 
Twitter " Studying Smart City #smartcity " has hashtag
#smartcity. This hashtag is used to search for similar topics with 
#smartcity. Can also add a hashtag corresponding equivalent word 
in question, for example #IOT, #smartercity, #intelligencecity or 
other equivalent terms.
The new social media also includes geo - tagging feature, the user 
can determine the location automatically when posting a message.
Geotagging contains latitude and longitude coordinates of the 
location, and can also be the name of the place.
This research will try to make a machine that becomes a generator 
to generate reports of events and emotions that exist within the 
city based on the text input from social media by considering the 
location.
5W1H concept (Who, Where, When, What, Why, How) plus 
Impact is used to describe an event that can be categorized in a 
report. Measures used in developing this application is
• Social Media Text Mining (Preparation Step)
• Twitter, Facebook, Instagram
• Full Text Analysis
• Hashtag Ranking
• Body Text Analyis
• Geotagging
• Classification
• 5 W 1 H and Impact Analysis : Who, Where, When, 
What, Why, How, Impact (Activity & Emotion)
•Clustering
• Clustering per Topic
• Factor Analysis
• Extract the features
IV. SMART CITY'S CONTEXT AWARENESS
121
A. City Personification 
B. Sense the City through Social Media
 
Figure 3 Text Analysis Process 
Tabel 2 5W1H Analysis 
IPO Input Process Output 
Who Who is involved 
between the two 
parties, both of 
personal data, 
position, 
organization, etc 
 
Search for 
words that 
represent 
people or 
groups and 
classify 
between the 
perpetrator and 
the victim 
 
[Performers] 
[Victim] 
Where Scene including 
street name, 
building name, 
the name of the 
area, village, 
district, province 
 
Search for 
words related 
to a street or 
place name 
 
[Location] 
When Time events can 
be exact or 
approximate time: 
early morning, 
morning, noon, 
afternoon, 
evening and 
midnight. 
 
Search for 
words related 
to temporal 
time 
 
[Time] 
What What objects are
involved can be 
Looking for a 
noun as 
[Object]
everyday goods, 
vehicles, etc 
 
evidence or 
media 
 
Why Cause of the 
problem may be 
personal problems 
or disasters 
 
Search for 
words because, 
using logic 
implications 
 
[Cause] 
How Chronology of 
events 
 
Looking for 
verbs 
associated with 
the way 
offenders 
 
[Chronology] 
Impact 
on 
Activity 
Which occurs 
particularly due to 
the impact of the 
crowds, such as 
traffic jams or 
evacuation 
 
Search for 
words related 
consequences 
caused by 
events 
 
[Effect] 
Impact 
on 
Emotion 
Due to continued 
happens, 
especially impact 
the feelings and 
emotions 
Search for 
words due to 
the related 
emotions and 
feelings 
 
[Emotion] 
 
122
The expected result is the creation of a generator which will 
rapidly extract news from social media, without the need for 
people who report directly to the government. The expected result 
is the form of reporting to include conditions in the field that 
contains information about who was involved, where the scene, 
when it happens, what objects were involved, why did it happen,
how the chronology of events and the impact on society in general 
in terms of both activities and emotions. In the future it could be 
used as an early warning for the institutions to be able to act 
quickly to resolve the situation that occurred in the city. 
With the growing trend of social media technology, not only in 
the form of text and hashtag, should be considered for further 
research plans using video media (including text, sound and 
image). In general, the population has been introduced on the 
application of social media to share -based video, voice and text, 
for example Periscope. It will be a challenge for further research.
[1] Priano, F. H., & Guerra, C. F. (2014). A framework for 
measuring smart cities. ACM, Proceedings of the 15th 
Annual International Conference on Digital Government 
Research - Dg.o ’14, 44–54
[2] Giffinger, Rudolph, Christian Fertner, Hans Kramar, Robert 
Kalasek, Natasa Pichler-Milanović and Evert Meijers. 2007. 
Smart Cities: Ranking of European Medium-Sized Cities. 
Vienna, Austria: Centre of Regional Science (SRF), Vienna 
University of Technology 
[3] Painho, M. (2015.). Emotion & Stress Mapping (Smart City), 
IEEE Xplore
[4] Guthier, B., Alharthi, R., Abaalkhail, R., & El Saddik, A. 
(2014). Detection and Visualization of Emotions in an 
Affect-Aware City. ACM DL.
[5] Banerjee, S., Mukherjee, D., & Misra, P. (2013). “What 
affects me?”. ACM DL
[6] Bie, T. De, & Cristianini, N. (2004). Kernel methods for 
exploratory pattern analysis : a demonstration on text data, 
1–15.
[7] Alt, B., Can, M., & Diri, B. (2015). Engineering 
Applications of Arti fi cial Intelligence A corpus-based 
semantic kernel for text classi fi cation by using meaning 
values of terms, 43, 54–66. 
http://doi.org/10.1016/j.engappai.2015.03.015
[8] Campbell, C. (1999). Chapter 7 An Introduction to Kernel 
Methods Kernel Methods for Classification , Regression , 
and Novelty Detection, 155–192.
[9] CASA - Centre for Advanced Spatial Analysis 
(www.mscsmartcities.org)
V.  EXPECTED RESULTS AND CONCLUSION 
REFERENCES 
123


Smart city's context awareness using social media

10. Journal Commit-2
by Arta Moro Sundjaja
Submission date: 02-Mar-2018 03:34PM (UTC+0700)
Submission ID: 619532542
File name: 10._Journal_Commit-2.pdf  (579.49K)
Word count: 1904
Character count: 9987



88%
SIMILARITY INDEX
88%
INTERNET SOURCES
6%
PUBLICATIONS
3%
STUDENT PAPERS
1 88%
Exclude quotes On
Exclude bibliography On
Exclude matches < 1%
10. Journal Commit-2
ORIGINALITY REPORT
PRIMARY SOURCES
media.neliti.com
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