Analysis of Smart Mobility Readiness in Banjarmasin City
Hendy Indrawan Sunardi, Selo Sulistyo and I Wayan Mustika
Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia
Keywords:
Smart City, Smart Mobility, Readiness, Variable
Abstract:
The concept of smart city has begun to be widely applied in cities in Indonesia. One city that wants to
implement smart city is Banjarmasin. The aim of implementing smart city is to improve public services.
One aspect of fulfilling smart cities is smart mobility. Smart mobility in the era is now important because
besides requiring comfort, it also requires speed in terms of public services. The purpose of this study is to
measure the readiness level of Banjarmasin city smart mobility. The results of this study indicate that the city
of Banjarmasin gets a value of 8 with 3 variables in conditional ready conditions,which means that basically
the city of Banjarmasin can be said to be ready in the application of smart mobility, but the conditions for
repairs and procurement in someaspects of intelligent mobility mentioned the above needs to be fulfilled.
1 INTRODUCTION
With the development of current technology that very
quickly makes all aspects of life seem to depend on
technology. The community has now used technol-
ogy as a need that cannot be separated from everyday
life. Various technologies are developed including in
the field of information technology. Lately in the field
of information technology is crowded with the name
Smart City concept. Smart City is a concept of devel-
opment or management of cities with the use of in-
formation technology to connect, monitor and control
various existing resources in the city more effectively
and efficiently. Including by increasing the quality of
public services. Various countries have implemented
the Smart City concept to meet public needs. In-
donesia is no exception. One aspect that you want
to build is smart mobility. With the continued in-
crease in the population of vehicles which are causing
a lot of problems for the people, namely traffic jams.
Smart mobility is one solution to overcome this prob-
lem, especially public transportation because travel
time is faster with the integration between transporta-
tion. Referring to the previous explanation, we need
an analysis of how the readiness of smart mobility in
the city of Banjarmasin as an aspect in realizing the
smart city concept.
Be advised that papers in a technically unsuitable
form will be returned for retyping. After returned the
manuscript must be appropriately modified.
2 REVIEW OF LITERATURE
AND THEORY BASIS
2.1 Literature Review
Research related to the analysis of the application of
Smart City in Indonesia is still not widely done. How-
ever, there are several previous studies related to the
application of Smart City, namely research conducted
by Malang Widyagama University lecturers named
Wiwin Purnowati and Ismini(Purnomowati, 2014).
They researched the concept of Smart City and the
development of tourism in Malang city. From the
research it was concluded that the poor city govern-
ment seemed to have prepared human resources and
infrastructure to implement Smart City. But in its
implementation the Malang city government has not
implemented the Smart City concept as a whole, as
in the Tourism sector. Other research is carried out
by FajarP. Pongsapan, Yaulie D.Y. Rindengan, and
Xaverius B.N. Najoan (Pongsapan et al., 2014). They
examined the architecture of Smart City’s information
and communication technology network design in the
city of Manado. From the research it was concluded
that the selection of device specifications used must
be considered in order to produce the network qual-
ity expected in the application of Smart City in the
city of Manado. Furthermore, research on smart mo-
bility in Indonesia has also begun. Several research
papers on smart mobility in Indonesia, namely: Al-
fariani Pratiwi, Soedwiwahjono, and Ana Hardiana
158
Sunardi, H., Sulistyo, S. and Mustika, I.
Analysis of Smart Mobility Readiness in Banjarmasin City.
DOI: 10.5220/0009866401580162
In Proceedings of the International Conference on Creative Economics, Tourism and Information Management (ICCETIM 2019) - Creativity and Innovation Developments for Global
Competitiveness and Sustainability, pages 158-162
ISBN: 978-989-758-451-0
Copyright
c
2020 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
(Pratiwi et al., 2015) conducted research on the avail-
ability of smart mobility in the city of Surakarta. The
conclusions from their research were Surakarta city is
still classified as a conditional ready category which
means it can be prepared to implement smart mobil-
ity with terms of repairs and additions in several as-
pects to support smart mobility. By looking at previ-
ous studies it can be taken a hypothesis that the readi-
ness of the city of Banjarmasin in aspects of smart
mobility, especially in terms of infrastructure is still
lacking. To implement the Smart City concept in a re-
gion / city, good human resources and infrastructure
are needed so that its realization can run smoothly and
if there are obstacles, it can be resolved quickly and
precisely.
2.2 Theoretical Foundation
2.2.1 Smart City
A city is defined as a ’SMART’ city when human in-
vestment, conditions and social risks of society, cap-
ital / finance, energy resources, transportation, etc.,
are managed wisely, modernly, participatively and
sustainably integrated to ensure a better quality of
life (Caragliu et al., 2011). Another source quoted
from smartcityindonesia.org (smartcityindonesia.org,
2015) gave an explanation of Smart City, which is a
city that is said to be Smart if the city really knows the
state of the city in it, understands the problem more
deeply, and is able to take action on these problems.
Whereas in the book Introduction and Development
of Smart City (Supangkat et al., 2015), smart cities
are defined as a concept of developing and manag-
ing cities by utilizing Information and Communica-
tion Technology (ICT) to more effectively connect,
monitor and control various existing resources in the
city and efficient to maximize service to its citizens
and support sustainable development. So that it can
be concluded that Smart city is a development, imple-
mentation, and implementation of digital technology
(ICT) that is applied to a region / city with the aim of
improving service quality in the region and increas-
ing interaction between the government in the region
/ city and its citizens.
2.2.2 Smart Mobility
One indicator of smart city is smart mobility, which
is a movement system that enables the fulfillment of
needs with minimal movements as quickly as possi-
ble. As for indicators ofsmart mobility, according
to Boyd Cohen, there are three, namely Mixed cap-
ital access, Prioritized clean and non-motorized op-
tions, and integrated ICT.The essence of the move-
ment to fulfill needs is accessibility and mobility, a
good movement system is a system with a high level
of accessibility and with high mobility. But the level
of accessibility and high mobility alone is not enough
to say an intelligent movement system, an intelligent
movement system is a movement system that mini-
mizes the movement itself.By taking the red thread
from the explanation above, smartmobility can be in-
terpreted as a city with a movement system that allows
achieving goals with as little movement as possible
(less mobility), move freely, and less travel time.
2.2.3 Smart Mobility Indicator
(Giffinger and Pichler-Milanovi
´
c, 2007)(Cohen,
2012) use the smart mobility indicator as follows:
1. Local Accessibility: The level of readiness of
local accessibility is seen from several aspects,
namely, public transportation networks, the level
of satisfaction with access and the quality of pub-
lic transportation.
2. Multimodal Access: The level of multi-mode ac-
cess readiness is seen from the presence of modes
integrated between land, rail and air.
3. International Accessibility: The level of interna-
tional accessibility readiness is seen from access
to the airport from within the city of Banjarmasin.
4. Information Technology and Mobility Support
Communication: The level of readiness of infor-
mation technology infrastructure and supporting
mobility communication consists of two aspects,
namely the availability of smart card systems and
their revenues and the availability of real time in-
formation.
5. Sustainable and safe transportation: The level of
sustainable and safe transportation readiness con-
sists of two aspects, namely aspects of green mo-
bility and traffic safety.
3 RESEARCH METHODOLOGY
The research approach in this research is deduc-
tive or commonly called general-specific, namely re-
searchers test research questions derived from theory.
The theory is first explained explicitly and then can
be continued to test the research question. The data
analysis technique used in this study is the scoring
analysis technique. The data contained in this study
are nominal data that are qualitative in nature, which
are then converted into quantitative data by means of
scoring. To get the findings done by comparing the
results of scoring with the theory and conditions in
Analysis of Smart Mobility Readiness in Banjarmasin City
159
the city of Banjarmasin. The analysis techniques car-
ried out include: (1) readiness scoring analysis of the
parameters of each variable; (2) City Readiness Anal-
ysis of Smart Mobility. The data collection method
for this research is literature study for qualitative data
and questionnaire spreads for quantitative data. Qual-
itative data is taken from papers or articles related to
smart mobility. Quantitative data is done specifically
to get results on the parameters of public transporta-
tion satisfaction. To get quantitative data, a survey
was carried out on 100 city transportation users in
Banjarmasin with 15 questions related to city trans-
portation services. The method used to get the param-
eters of public transportation satisfaction is the cus-
tomer satisfaction index (Customer Satisfaction In-
dex) [9] which is an index to measure the level of
customer satisfaction based on certain attributes.
4 RESULTS
Figure 1: Local Accessibility Readiness Levels.
Figure 1 : In the parameters of the Public Trans-
portation Network and the access authority & quality
of transportation in Banjarmasin City gets a value of
6 with an average value of 2 which means it is ready
to be conditional. This is because the city of Banjar-
masin has public transportation in the form of public
transportation, small buses, public taxis, base motor-
bikes, and online motorcycle taxis.
Figure 2: Multimoda Access.
Figure 2: In the multi-modal access parameter,
Banjarmasin City gets a value of 2, which means it
is ready for conditional. This is because the city of
Banjarmasin has an integration of public transport be-
tween planes and taxis but there is no train yet.
Figure 3: International Accessibility.
Figure 3: In the parameters of international acces-
sibility readiness the city of Banjarmasin gets a value
of 2, which means it’s ready for conditional. This
is because access to the airport can only use taxis or
private vehicles such as cars and motorbikes because
there are no trains.
Figure 4: ICT.
Figure 4 : In the parameters of the smart card and
realtime information the city of Banjarmasin gets a
total value of 2 which means it is not ready. This is
because there is no smart card or real time information
available in Banjarmasin city.
Figure 5: Local Accessibility Readiness Levels.
Figure 5 : In the parameters of green mobility
and traffic safety the city of Banjarmasin gets a value
of 1 and 2. In the city of Banjarmasin there are al-
ready pedestrians for pedestrians but there is no spe-
cial track for bicycles. This is because the roads are
already very narrow and small.
ICCETIM 2019 - International Conference on Creative Economics, Tourism Information Management
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Figure 6: Sustainable and safe transportation.
Figure 6 : Based on the results of the research of
the 5 variables above, the total value of Banjarmasin
city is 8 with 3 variables to determine the readiness
of smart mobilty in the category of conditional readi-
ness. So the readiness of the city of Banjarmasin in
smart mobility is in a condition of conditional readi-
ness.
Smart Mobility comparison in some cities based
on qualitative data collected from varioussources such
as the official city government website and national
articles :
1. Jakarta
Figure 7: Smart Mobility Readiness Levels.
Figure 7 : Based on the smart city literature study,
the city of Jakarta gets a total value of 14 of the
5 measured variables which means that the city of
Jakarta is in the category of being ready for the
application of smart mobility.
2. Surakarta
Figure 8 : Based on the Surakarta city smart city
literature study get a total value of 9 out of 5
variables that are measured which means that the
city of Surakarta is in the category of conditional
Figure 8: Smart Mobility Readiness Levels.
readiness in the application of smart mobility. In-
formation : The total value for the Ready cate-
gory: 3 or more variables are in a ready condition
The total value to be categorized as Ready Ready:
3 or more variables are in a condition ready for
conditional The total value for entering the cate-
gory is not ready: 3 or more variables are in an
unprepared condition
5 CONCLUSION
Based on the aforementioned characteristics regard-
ing each aspect of smart mobility in Banjarmasin City,
the scoring analysis of the level of readiness for the
application of smart mobility in the city of Banjar-
masin received a value of 8 with 3 variables in condi-
tional conditions, which meant that Banjarmasin City
was basically ready to implement smart mobility, but
the conditions for repairs and procurement in some
aspects of the intelligent mobility mentioned above
need to be met.
REFERENCES
Caragliu, A., Del Bo, C., and Nijkamp, P. (2011). Smart
cities in europe. Journal of urban technology,
18(2):65–82.
Cohen, B. (2012). The top 10 smart cities on the planet. Co.
Exist, 11.
Giffinger, R. and Pichler-Milanovi
´
c, N. (2007). Smart
cities: Ranking of European medium-sized cities.
Centre of Regional Science, Vienna University of
Technology.
Pongsapan, F. P., Rindengan, Y. D., and Najoan, X. B.
(2014). Desain arsitektur jaringan teknologi informasi
dan komunikasi untuk manado smart city; studi kasus
pemerintah kota manado. Jurnal Teknik Elektro dan
Komputer, 3(3):31–31.
Analysis of Smart Mobility Readiness in Banjarmasin City
161
Pratiwi, A., Soedwiwahjono, S., and Hardiana, A. (2015).
Tingkat kesiapan kota surakarta terhadap dimensi mo-
bilitas cerdas (smart mobility) sebagai bagian dari
konsep kota cerdas (smart city). Region: Jurnal
Pembangunan Wilayah dan Perencanaan Partisipatif,
6(2):34–41.
Purnomowati, W. (2014). Konsep smart city dan pengem-
bangan pariwisata di kota malang. Jurnal JIBEKA, 8.
smartcityindonesia.org (2015). Definisi smart city.
Supangkat, S., Arman, A., Nugarah, I., et al. (2015). Pen-
genalan dan pengembangan smart city. Bandung: e-
Indonesia Initiatives Institut Teknologi Bandung.
ICCETIM 2019 - International Conference on Creative Economics, Tourism Information Management
162