Model and Measurement of Smart City Maturity Level in Indonesia

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21 Νοε 2013 (πριν από 3 χρόνια και 8 μήνες)

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Page
1


Model and Measurement
of Smart City Maturity
Level in Indonesia



Research Design


INTRODUCTION

Page
3


Model and Measurement of Smart City Maturity Level in Indonesia


Global

View

Page
4


Model and Measurement of Smart City Maturity Level in Indonesia


Urban Condition in
Indonesia


Indonesia's population in urban areas has reached 50
%
;


Growth rate of 5.89%
per year (
rate

o
f growth o
f the national
average 1.17% /
year).




0.0%
20.0%
40.0%
60.0%
80.0%
100.0%
2010
2015
2020
2025
Population
P
resentation

Year

S
ource
:
BPS 2008

Rural Area

Urban Area

Source
: I
r. Hayu Parasati, MPS, Director of the Urban and Rural,
Ministry of

National Development Planning/National
Development Planning Agency

(
BAPPENAS
)
,
e
-
Indonesia Initiatives

Conference

forum IX/2013 (ell IX/2013)


Year of
2025

67,5
%


Page
5


Model and Measurement of Smart City Maturity Level in Indonesia


Background Research


Increasing urban population


Increasing urban communities needs

(Energy,
water
,
transport
ation
,
health
,
etc
)


Increasing of global warming


Smart City

(Smart

Governance, Smart Health, Smart Transportation, Smart Environment, Smart
Economy ,
etc
)


How to
Model
and to Measure
Smart City
Maturity Level
?


Page
6


Model and Measurement of Smart City Maturity Level in Indonesia


Objective


The objective of the s
tud
y
is to
construct
a model for
Smart City maturity level
,

and gain a comprehensive
overview of the condition

of
Smart City maturity
leve
l
in Indonesia.

Page
7


Model and Measurement of Smart City Maturity Level in Indonesia


Scope of Research


Literature study about
Smart City

development
concept and Maturity Level Model of
Smart City;


Benchmark
Smart City

development in other Cities of
countries
;


The model construct focused on governance and
services aspects
;


Quantitative approach and analytical descriptive
;


The research object :

local government readiness and
ICT infrastructure supported

Smart City
,
and social
economic condition influenced
;


Data collecting

(Interview
and secondary data
)

of

3
cities in Indonesia (Jakarta, Bandung, Surabaya).


Page
8


Model and Measurement of Smart City Maturity Level in Indonesia


Research Methodology

Literature
Study

Model
Construct
Analysis

Measurement
Result Analysis

Smart City Maturity Level
Measurement of 3 cities
in Indonesia (secondary
data & interview)

Comparative
Study (other
coutries)

Recommendation
of Smart City
Development in
Indonesia

-
Smart City Definition

-
Maturity model sample

-
Smart City
Measurement

-
Smart City
Development in
Indonesia

Smart City Development
in other Countries

Smart City Maturity
Level Model

Smart City Maturity
Parameters

Smart City Maturity
Level Measurement
Result

Page
9


Model and Measurement of Smart City Maturity Level in Indonesia


SMART CITY

LITERATURE OVERVIEW

Page
10


Model and Measurement of Smart City Maturity Level in Indonesia


Smart City

Definiton

Source

Defini
tion

Technology

Strategy

Board‘s

Head

of

Sustainability,

Richard

Miller

a

“Smart

City”

is

one

that

transforms

itself

into

a

“Future

City”

by

using

technology
.
IBM

use

the

phrase

“Smarter

City”

to

describe

a

city

that

is

making

progress

on

that

path
.

Boyd

Cohen

of

Fast

Company


“Smart

cities

use

information

and

communication

technologies

(ICT)

to

be

more

intelligent

and

efficient

in

the

use

of

resources,

resulting

in

cost

and

energy

savings,

improved

service

delivery

and

quality

of

life,

and

reduced

environmental

footprint

all

supporting

innovation

and

the

low
-
carbon

economy
.


http
:
//www
.
businessdictionary
.
com/definiti
on/smart
-
city
.
html

A

developed

urban

area

that

creates

sustainable

economic

development

and

high

quality

of

life

by

excelling

in

multiple

key

areas
;

economy,

mobility,

environment,

people,

living,

and

government
.

Excelling

in

these

key

areas

can

be

done

so

through

strong

human

capital,

social

capital,

and/or

ICT

infrastructure
.


Caragliu
,

A
;

Del

Bo,

C
.

&

Nijkamp
,

P

(
2011
)
.


"Smart

cities

in

Europe",

Journal

of

Urban

Technology

A city can be defined as ‘smart’ when investments in human and social capital and traditional
(transport) and modern (ICT) communication infrastructure fuel sustainable economic development
and a high quality of life, with a wise management of natural resources, through participatory
governance.The concept of ‘smart’ rotate around 6 main areas: mobility, economy, environment,
living, people and governance.

http
:
//www
.
worldsmartcapital
.
net/the_sm
art_city

Smart is but a step on the journey
-

better information does not mean better decisions.

There are
three vital ingredients for leading a city: sustained collaborative leadership, transformation through
technology and customer insight and enrolment. With holistic, long term planning of sustainable
energy action plans to achieve target goals and a strong commitment at local level. Stimulating the
engagement of public, private and academic partners to embrace innovation at all levels

Page
11


Model and Measurement of Smart City Maturity Level in Indonesia


Smart City
Concept

Smart City

IBM

Smarter Planet

Alcatel
-
Lucent

Green Touch

Cisco

Smart + Connected

Siemens

Sustainable Cities

Visi
on


Inter
connected


Instrument
ed


Intelligent

(analytic
)


䍯mmun楴i

va汵es

C

equal

deg牥e



f楮in捩al
.


Enriching

life

through

intelligent

connection


Unlimited,

ubiquitous,

connected

universe


pu獴ainable

e捯nom楣

g牯r瑨


Resources

Management

and

operational

efisiency


Improving

quality

of

life


Efficient

building


Sustainable

urban

mobility

Im
plementa
tion

Area


Planning

and

management

solutions


Infrastructure


Citizen

Program

and

Services


Life

2
:
0

Open

Platform


Smart

Citizen


Utilit
y


Transporta
tion


Real

Estate
Safety

&

Security



Government


Airport

Logistics


Postal

Automation


Rail

Solution


Road

Solution

I
mplementa
tion

Sample

Smart Transportation
Initiatives in London &
Stockholm


Smart

Santader


Chatanooga


Busan


Songdo

U
-
City


European

Green

City

Index

Page
12


Model and Measurement of Smart City Maturity Level in Indonesia


Smart City

Concept
, IBM
-
SmarterPlanet

Sou
r
ce

: http://www.ibm.com/smarterplanet/us/en/smarter_cities

Page
13


Model and Measurement of Smart City Maturity Level in Indonesia


Smartcity

Concept
, Siemens
-

Sustainable cities

Source
:
http://www.usa.siemens.com/sustainable
-
cities/

Page
14


Model and Measurement of Smart City Maturity Level in Indonesia


Smart City

Concept
,
China Academy of
Telecommunication Research of MIIT

Source
:
Zhang, Xueli.,et al,
Smart Cities Benchmarking in China
, page 5, China Academy of Telecommunication
Research of MIIT

Page
15


Model and Measurement of Smart City Maturity Level in Indonesia


Smartcity

Concept
, Smart
-
cities.eu

Source
:
Smart cities Ranking of European medium
-
sized cities

Page
16


Model and Measurement of Smart City Maturity Level in Indonesia


Implementa
tion Sample of

Smart City
in Other Countries

Continent
/
Country

Implemented

Smart
City
Component

Jepang

Smart Community, Smart Healthcare, Smart Creative Industry, Smart Automobile Traffic
System, Smart Agriculture, Smart Robots

Korea Ubiquitous City

Facility Management, IT Management, Utility Management

Vancouver Green City

Green Economy, Green Buildings, Climate Leadership, Green Transportation, Zero Waste,
Access to Nature, Lighter Footprint

Europe

SmartEconomy, Smart Environment, Smart Governance, Smart Living, Smart Mobility, Smart
People

Sustainable Sydney

Livable Green Network Corridors, Cycle Priority Routes, Pedestrian Priority Routes,

Smart City Bristol

Smart Energy, Smart Transport, Smart
Data
,

and
exploration other challenge and opportunies

in social economic, i.e.
tele
-
health
.

Copenhagen

Airport
,
train &

suburb area connect

to downtown through

metro
-
system
.

Freiburg Green City

Eco housing, car
-
free streets and socially conscious neighbors
.
Cities

are
designed for
human, not for cars. Pedestrian paths, bike

lane, and tram are primary facilities
developed in the urban planning
,
in addition to
climate protection
,
Solar
Power
,
&
recycling

program
.

Amsterdam

Energy, Open Data,
Health, Media, Safety/Security, Sustainable Living, Working, Mobility and
Public Space.
smart grids
and
smart
meters

Page
17


Model and Measurement of Smart City Maturity Level in Indonesia


SMART CITY
DEVELOPMENT IN

INDONESIA

Page
18


Model and Measurement of Smart City Maturity Level in Indonesia


National
Visi
on for Urban Development

National

Urban

Development

Vision

2025

“The

establishment

of

an

Independent

State
,

productive,

liveable

and

sustainable,


as

well

as

the

welfare

of

its

people

equitably

meet

in

2025


National Urban Development Vision
2050

“Sustainable Cities and competitiveness empowered for Social Welfare


Source
:


Policy and Strategy of National Urban Development

(KSPN)

2010
-
2025,

Rev. 5 Desember 2010,

D
it
perkotaan

perdesaan

BAPPENAS &

D
it
bina

program
cipta

karya

PU

I
r. Hayu Parasati, MPS, Director of the Urban and Rural,
Ministry of

National Development Planning/National
Development Planning Agency

(
BAPPENAS
)
,
e
-
Indonesia Initiatives

Conference

forum IX/2013 (ell IX/2013)


Page
19


Model and Measurement of Smart City Maturity Level in Indonesia


Smart

C
ity

Implementation in

Indonesia
-
Bandung Smart City

Page
20


Model and Measurement of Smart City Maturity Level in Indonesia


REFEREN
CES

OF
SMART CITY

MATURITY LEVEL MODEL

Page
21


Model and Measurement of Smart City Maturity Level in Indonesia



Smart

C
ity

Maturity Model

Source:
IDC Government Insights

Page
22


Model and Measurement of Smart City Maturity Level in Indonesia



Smart

C
ity

Maturity Model

Page
23


Model and Measurement of Smart City Maturity Level in Indonesia


SMART CITY

MATURITY LEVEL MODEL PROPOSED

Page
24


Model and Measurement of Smart City Maturity Level in Indonesia


Smart City

Service Architecture

Smart City Services

Smart City Infrastructure

Smart City Governance

Page
25


Model and Measurement of Smart City Maturity Level in Indonesia


S
mart City Maturity Level Model Proposed

Government

Health

Education

Transportation

Energy

Environment

Non
-
existent

Smarter

Integrated

Initialized

Scattered

Ubiquitous
Information

Valuable
Information

Manual Data
to Digital Data

Sharing
Data

Partially
Sharing
Data

Economic

MATURITY LEVEL

Page
26


Model and Measurement of Smart City Maturity Level in Indonesia


Maturity Level Characteristics

Government

Health

Education

Transportation

Energy

Environment

Economic

Non
-
Existent


Government
management is
still
mostly

relies on manual
process


Health management is still
mostly

relies on manual process


Education management

is
still mostly

relies on
manual process


Transportation
management is still mostly

relies on manual process


Energy management is
still mostly

relies on
manual process


Environmental

management
system

is still mostly

relies on
manual process


Economic

t
ransaction

and management


is still
mostly

relies on manual
process

Initialized


System development has
initialized to help
governance


Several agencies do not
provide the data online
yet


ICT utilization

is already taken
into account, although partially
and sporadic


Several agencies do not provide
the data online yet


ICT utilization

is already
taken into account,
although partially and
sporadic


ICT utilization

is already
taken into account,
although partially and
sporadic


Several agencies do not
provide the data online yet


Smart technology

is
already taken into
account, although
partially and sporadic


Several agencies do not
provide the data online
ye


Technology, esp. ICT
is already
taken into account, although
partially and sporadic


Several agencies do not provide
the data online ye


ICT utilization

is already
taken into account,
although partially and
sporadic


Several agencies do not
provide the data online
yet

Scattered


Transparent government


V
aluable

data online
provided, but still
scattered


Limited collaboration
among government
agencies


ICT supported on
implementation

and
administration services
,
,
data and application still
scattered


Health services t
ranspar
encies


ICT supported on services and
management, data and
application still scattered


Collaboration among health
agencies began to be built


Provided

valuable
data online,
but still scattered


Education services

t
ranspar
encies


ICT supported on
implementation

and
administration services
,
,
data and application still
scattered


Collaboration among
education agencies began
to be built


Provided

valuable
data
online, but still scattered


ICT supported on services
and management, data and
application still scattered


Provided

valuable
data
online, but still scattered



ICT supported on
services and
management, data and
application still
scattered


Samrt technology for
smart home, smart
grid,
began to be
implemented


ICT supported on services and
management, data and
application still scattered


Provided

valuable
data online,
but still scattered



Control system and
supervision partially
integrated


Fewer

avaliable services
for citizen

(i.e : e
-
commerce, e
-
tourism, e
-
education)

Integrated


Participatory
Government


Online Sharing of
Valuable Info


Cross
-
Agency
Collaboration


Valuable

information
provided, analytical
process result


Better initiative

coordinated
,
seek
synergies to increase

and
governance project
portfolio that is more
collaborative


Cross
-
Health

Agency
Collaboration



Valuable

information provided,
analytical process result


Better initiative

coordinated
,
seek synergies to increase

and
governance project portfolio
that is more collaborative


Cross
-
Education
Agency
Collaboration


Valuable

information
provided, analytical
process result


Better initiative

coordinated
,
seek
synergies to increase

and
governance project
portfolio that is more
collaborative


Planning and traffic

management mostly ICT
supported


Valuable

information
provided, analytical process
result


Better initiative

coordinated
,
seek synergies
to increase

and
governance
project portfolio that is
more collaborative


Better initiative

coordinated
,
seek
synergies to increase

and
governance project
portfolio that is more
collaborative


Valuable

information
provided, analytical
process result


Pengembangan

dan

penerapan

teknologi

smart home
dan

smart
grid
terus

ditingkatkan

dan

terencana


Cross
-
Agency Collaboration


Valuable

information provided,
analytical process result


Better initiative

coordinated
,
seek synergies to increase

and
governance project portfolio
that is more collaborative


Integrated control
system and supervision


Valuable

information
provided, analytical
process result


Enriched e
-
services

p
latform

Smarter


Inclusive government


Actionable

information,
which can be continously
online updated, and
ubiquitous.


Stakeholder
-
Centric
Collaboration


I
ntelligent

initiative is
part of a holistic master
plan that is managed by a
dedicated city
government, involving
citizens and businesses


System that support consumer
-
oriented
health services are
avalaible.


Analytical
data
healthcare are
available

& can be accessed by
stakeholder ubiquitously


I
ntelligent

initiative is part of a
holistic master plan that is
managed by a dedicated city
government, involving citizens
and businesses


System that support
consumer
-
oriented
educational services are
avalaible.


Analytical
data
educatioal
are available

& can be
accessed by stakeholder
ubiquitously


I
ntelligent

initiative is
part of a holistic master
plan that is managed by a
dedicated city
government, involving
citizens and businesses


Planning, management

&
monitoring

traffic
are
integrated

supported by ICT

(ATMS, TIS, PTS, EFS, EMS,
SPS)


Analytical
data
transportation are available

& can be accessed by
stakeholder ubiquitously


I
ntelligent

initiative is part
of a holistic master plan
that is managed by a
dedicated city government,
involving citizens and
businesses


I
ntelligent

initiative is
part of a holistic master
plan that is managed
by a dedicated city
government, involving
citizens and businesses


S
mart home
and
smart
grid

are thoroughly
implemented


Analytical
data
energy
are available

& can be
accessed by
stakeholder
ubiquitously


Planning, implementation,
monitoring has been integrating
various domains of
environmental problems (
i.e. :
smart
water, smart weather,
smart disaster mitigation,
dll
)


Analytical
data
environment are
available

& can be accessed by
stakeholder ubiquitously


I
ntelligent

initiative is part of a
holistic master plan that is
managed by a dedicated city
government, involving citizens
and businesses


Ubiquitous safety
predictive


Services abnd

emergency p
latform are
connected


Mostly business are
supported

by e
-
commerce

Page
27


Model and Measurement of Smart City Maturity Level in Indonesia


PARAMETER
S

MEASUREMENT

Page
28


Model and Measurement of Smart City Maturity Level in Indonesia


Parameter
s

and

Measurement Weight

No

Measuerment
Parameter
s

Question Code

Weight

A.
Smart City

Services

1

Number

of

smart

city

services

LS.01

5%

2

Online

public

services

LS.02

5%

3

Integra
ted

service

among

unit

in

government

work

unit

(SKPD)

LS.03

5%

4

Integrated

service

among

SKPD

LS.04

5%

5

SOA

based

aplication

LS.05

5%

6

Open

Platform

based

application

LS.06

5%

7

The

services

use

cloud

services

LS.07

5%

8

Public

services

use

single

identity

LS.08

2.5%

9

Electronic

based

of

citizen
-
ID

LS.09

2.5%

10

Service

use

a
naliti
c

tools
,

ie
.

BI

(business

intelegent)

LS.10

10%

11

Information

transparency

(
procurement
,

budgeting

&

income,

disaster,

etc)

LS.11

10%

12

S
mart

city

services

benefit

for

society

&

government

LS.12

10%

13

User

of

smart

city

services

percentage

LS.13

10%

14

Smart

city

service

provided

by

private
-

organization

LS.14

20%

Page
29


Model and Measurement of Smart City Maturity Level in Indonesia


Parameter
s

and

Measurement Weight

No

Measuerment
Parameter
s

Question Code

Weight

B
.

ICT

Infrastructure

1

Access

Coverage

IN.01

20%

2

Bandwidth

Capacity

in

access

network

IN.02

13%

3

P
ercentage

of

in
ternet

user

IN.03

12%

4

Networking

among

SKPD

IN.04

15%

5

Data

Center



Data

Recovery

Center

(DC



DRC)

IN.05

15%

IN.06

10%

6

Private

Support

IN.07

8%

IN.08

7%

C
.


Governance


1

ICT

Organization

TK.01

8%

TK.02

6%

2

ICT

Policy

&

Regulation

TK.03

8%

TK.04

6%

TK.05

5%

3

ICT

Masterplan

TK.06

8%

TK.07

6%

TK.08

5%

TK.09

5%

4

ICT

Human

resouces

TK.10

7%

5

ICT

Funding

TK.11

4
%

TK.12

6
%

6.

Operational

TK.13

6
%

TK.14

5
%

TK.15

5
%

TK.16

5
%

TK.17

5
%

Page
30


Model and Measurement of Smart City Maturity Level in Indonesia


Measurement Methods


Questionnaire Instrument


Object of questionnaire :
SKPD

(gov. work unit)

in
City, priorities for
SKPD
related with

6
main services
in
smart city


s
cale

0
-
100
& weigth


Maturity Smart City
calculate based on accumulation
of scoring for each dimention (services, infrastructure
& governance)



Page
31


Model and Measurement of Smart City Maturity Level in Indonesia