GROWTH PLAN IN OPERATIONAL DESIGN
MANAGEMENT FOR PT. TRAFFIC LIGHT JAYA
Heru Kristanto1, Cheryl
Marlitta2
Universitas
Kristen Duta Wacana
[email protected]1, [email protected]2
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ARTICLE
INFO |
ABSTRACT |
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Received: |
5-05-2022 |
Traffic congestion is followed via way of means of more and more
site visitors injuries. These are ruled by bike
injuries, which also account for the best part of fatalities and essential
injuries. Careless riding and unruly conduct via way of drivers are the
primary reasons for injuries in Indonesia. Penelitian
ini bertujuan untuk a coordinated attempt that can also additionally
alleviate a metropolis�s congestion is deemed necessary, especially in
tackling busy and complicated intersections in the middle of the trouble to
lessen losses. Research is carried out using qualitative research.� It was concluded that The
company must have good marketing and operational strategies to get more
customers and maintain the business to keep it disrupting the times. The
future challenge is very challenging for this business to set up a new
strategy to meet market demands and globally transform. The presence of a
24-hour hotline to receive customer complaints I feel is one form of
responsibility from the company. Building a laboratory seems to be needed shortly
given the many demands in the three cities as a preliminary experiment. It is
hoped that with good management operations, this business can dominate and be
irreplaceable, given the purpose of establishing this company is to be a solution
to the bottleneck and effectiveness of the government budget. |
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Accepted: |
7-05-2022 |
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Published: |
20-05-2022 |
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Keywords: |
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Plan Operational, Design, Management |
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Corresponding
Author: Heru Kristanto
E-mail: [email protected]
INTRODUCTION
According to
the records from the UN Office for Disaster Risk Reduction, 7255 disaster
events took place between 1998 and 2017 (Wallemacq, Below, & McClean, 2018).
Natural disasters, technology-related incidents, terrorism events, and
epidemics formed the majority of these disasters
The security,
safety, order, and smoothness of site
visitors have emerged as a huge predicament withinside the world�s fourth maximum
populous country (Saleh, 2018).
While formerly Jakarta changed
into the most effective metropolis related to sizable site visitor congestion, now different cities
� including Bandung, Yogyakarta, Semarang, and Surabaya � additionally be afflicted by site visitor jams. Traffic congestion is followed via way of means of more and more site visitors injuries. These
are ruled by bike injuries,
which also account for the best part of
fatalities and essential injuries (Widodo et al., 2020). Careless riding and
unruly conduct via way of drivers
are the primary reasons for injuries in
Indonesia. In 2014, the police mentioned about 28,000 fatalities because of injuries on the
streets and roadways of Indonesia. In that manner, approximately 12 deaths from site
visitors injuries consistent with 100,000 people (Krajewski, Malhotra, Malhotra, Ritzman, & Krajewski, 2015).
This could be very excessive in
comparison to neighboring
nations like Singapore (4.8) and Australia (5.2), and maximum
researchers anticipate that site visitors� fatality numbers are nevertheless under-mentioned. Based on cutting-edge trends, it's far predicted that during 2020, site visitor injuries in
Indonesia will purpose 40,000 deaths consistent year.
Besides inflicting deaths, deep trauma, and minor injuries, site visitor injuries additionally create sizeable belongings damage, and this parent is
likewise increasing. In 2010, the overall national economic price reached 143 billion Indonesia rupiahs (roughly
$19 million); via way of means in 2014 it had nearly
doubled, mountaineering to Rp. 250 billion. One of the clever metropolis factors is transportation and site visitors management. As the monetary price of
congestion in essential cities (Jakarta and Bandung) is predicted as excessive as IDR 35 trillion (28 trillion in Jakarta and seven trillion in Bandung) each year, a
coordinated attempt that can also
additionally alleviate a metropolis�s congestion is deemed necessary, especially in
tackling busy and complicated intersections on the middle of the
trouble to lessen losses.
METHODS
To achieve this goal, research was carried out using qualitative research primary data source is an object or
document originating from the raw material called "first-hand information"
(Cooper, Schindler, & Sun, 2006).
Primary data sources from this research the author does the focus group
discussion with the founders of PT. Traffic Light Jaya.
RESULTS
AND DISCUSSION
Smart Traffic Light is a company that offers efficiency and time-based technology innovation to its customers (Papa & Lauwers, 2015).
Therefore, this is a service company that aims
to provide solutions to recurring problems that its target customers might have namely
congestion, losses from congestion, and other impacts.
Main activities carried
out at PT. Traffic Light Jaya can be
as follows;
1.
Do
other maintenance work
2.
Availability of 24-hour complaints
3.
Research new technology and innovation
Such a company will have detailed
records of the repair work carried out on the product in the field.
1. Key
Partnerships Joint-Ventures:
Another thing you can develop is a joint venture in a new business. Both partners can have a common interest in
this matter, the Government (Department
of Transportation) in developing the country's transportation side. The role
of the partner, in this case, is the primary funder and that brings together
the market (Luturlean & SE, 2019). The partner advertises and facilitates products
up to the realm of company development.
2.
Cost
Structure
The most important are the maintenance of tools and servers,
salaries of field technicians,
research funds for the advancement of technological innovations, and the application of new methods (Stergiou & Psannis, 2017). The most expensive key activity is the production area. These include Selection
of product and design, Production Control, Quality
and Cost Control, and Maintenance and Replacement of Machines. And of the key resources is Intellectual
resources. it takes a great deal of
time and expenditure to develop.
As is well known, in the ICT business
(Perera, Ingirige, Ruikar, & Obonyo, 2017). This business model is very promising if it is accompanied by good management operations and can also always bring innovation to the community. Given
that in Indonesia
this business is still
very rare.
a.
Introductory phase, since Smart
Traffic Light starts at the end of 2018, Although
this April is still in the stage of making tools, we as the founder and management got lots of feedback from
the customers (Le, Le Tuan, & Tuan, 2019).
Assisted by the Transportation
Department data, it is easier for us to communicate with road users. Several regular presentations
with the Department of Transportation, technicians,
and lecturers have been carried out to always be up-to-date. The company just needs to set aside a large enough
budget for RnD so that the product launching will be the answer to
people's problems.

Picture 1. Smart
Traffic Light schema
b.
Growth phase, after funds from the Department of Transportation went down
to move in trying various kinds of sensors can be more flexible and multiply technicians to make prototypes (Greer, Fraser, Hicks, Mercer, & Thompson, 2018).
With the success of the prototype, Dishub's trust is increasing so that it is entrusted in the
future as this product is implemented in two neighboring cities namely Surakarta
and Wonogiri.
c.
Maturity phase, PT. Traffic
Light Jaya hasn't reached this phase yet, because of meet its problems. Due to periodic
funding proposals, prioritize the research sector.
d. Phase of decline, PT. Traffic Light Jaya still trying to get capital
and location (Laboratorium)
to help this business develop.
The company
has a goal to have its production place, as Laboratorium. This step will help this business become more productive and professional. Moreover, the
customer will be easier to get this product and
make a contract. This project could be done more less than a year, because there are several things to be completed including
the survey of the location,
dealing with the landlord and the legality of building an Office / Laboratorium, and also
deciding on the store design with the architect/contractor. Nevertheless, it
depends on the budget, if the
budget is insufficient, this business must find another place. As a result, at the end of the year PT. Smart
Traffic Light can be predicted to have their
own Laboratorium / Office.

Picture 2.
Smart Traffic Light‟s Flow Chart Planning on
Building Lab & Office
Regardless of the location, PT. Traffic Light Jaya actually
could be an independent
business and develop by giving more attention to their loyal customers, economic changing, sociographic and
demographic, technology, politics, and others. Also, needs to be developed in
the system and organizational structure. This
development can use certain techniques to design new products. Several techniques
can be used, including strong design, modular
design, CAD (computer-aided design), CAM (computer-aided manufacturing), virtual reality
technology, value analysis, and product that impact
environmentally friendly (Raza, Patle, & Arya, 2012).
In environmentally friendly
designs, there are several objectives :
1.
Make the day of Road
user effective
2.
Not stuck in traffic as usual
3.
Save fuel
4.
�Reducing air pollution
5.
�Support the government's
go-green program
6.
�Reducing government losses in the congestion sector
Quality Function Deployment (QFD) is concerned with determining
what will satisfy the customer and
translating the customer's desires into the targeted design (Ginting, Ishak, Malik, & Satrio, 2020a).
The idea is to understand customer desires and introduce alternative process solutions. This information is then integrated into constantly changing
product designs. QFD is used
at the beginning of the design process to help determine what can satisfy customers and where the quality of business is spread.
QFD tool is a quality house (Ginting, Ishak, Malik, & Satrio, 2020b).
House quality is a graphic technique to explain the relationship between
customer desires and products or services. Only by establishing this relationship, I can develop
products and processes
with the features
customers wants. This application of relationships is the first step in developing a world-class production
system. To make a quality
home, seven basic steps are including;
a. Get to know customer
desires.
b. Identify how the
product/service will satisfy
the customer's desires.
c. Connect the customer's desires with how the product will be made to meet the customer's desires.
d. Recognize the relationship between how much to the company.
e. Create a level of importance.
f. Competitive product
evaluation
g. Desired technical
attributes
From this theory PT. Traffic Light Jaya made simple
differentiation from its competitors, including the latest technology, good service & the latest innovation.
This business has the vision to become an important role in overcoming traffic jams and helping the government to
streamline the budget. PT. Traffic Light Jaya
is still willing to innovate more on its products. PT. Traffic Light Jaya does not have a competitor in
Indonesia. Therefore, PT. Traffic Light Jaya has a big potential in this market to give a more positive
impact in Indonesia.


Picture 3.
House of Quality Function Deployment for PT. Traffic Light Jaya
In the first year, The marketing strategy
will be implemented in PT. Traffic Light Jaya
In
every business, there is always a competitor, even though the business is very innovative, competitors will always
try to match or provide cheaper
prices with quality that is not much different or even the same as the efforts they want to emulate.
Regarding the price, the company has a middle to upper price, due to the company�s motto that is prioritizing quality. Where playing business in the upper class or commonly known as
Blue Ocean is not easy, because the company has to convince the customers.
To
maintain the quality of a product, make some analysis to define the problem using
the Fish Bone and SIPOC Tools, using
fishbone and SIPOC tools will minimize defects of products.


Picture 4. Project Title: Critical Path �BUILD THE SMART TRAFFIC
LIGHT LAB‟
|
Grouping
|
active |
Code
|
Predecessor
|
a |
m |
b |
|
|
Planing
for size location |
A |
- |
1 |
2 |
3 |
|
Sketch
the lab |
B |
A |
1 |
1 |
2 |
|
|
Find
the handyman |
C |
- |
2 |
3 |
4 |
|
|
Processing
|
Buy
the basic material |
D |
C |
1 |
2 |
4 |
|
Construction
|
Build
the research room |
E |
D, B |
6 |
7 |
9 |
|
Finishing
|
Checking
and detailing |
F |
E |
0 |
0 |
2 |

Picture
5. Critical
Path: CDEF
CPM provides
the following benefits:
1. Provide a graphical display of the flow of activities of a project,
2. Predict the time
needed to complete a project,
3. Shows which activities flow is important
to be considered in maintaining the project completion schedule.
4. Picture. Trend
Analysis 'demand for smart traffic light products'
By
looking at the increasing trend, the company is increasingly convinced that
more efficient laboratory construction can fulfill demand in the future. With the availability of sufficient land to
store materials, the company is optimistic that the company can penetrate the market of all city traffic
jams in Indonesia, not just three
trial cities like the current contract.
The
problem that faces right now is the Inventory
Management system (Atnafu & Balda, 2018), as of
now this business adopts the Fixed-order quantity model in ordering or stocking the raw materials for the products. One of
the reasons why needs to keep a supply of inventory
is to take advantage of economic purchasing order size, and the decisions need to be taken by considering the
carrying costs, ordering costs, and shortage
costs. There are several things to be considered on deciding the reorder
point (when to order), and the total cost or quantity for the materials (how many to order).
The equation that will
be used to calculate the total Quantity
IS
![]()
Where D is the
Annual Demand, S is the
Ordering Cost, and H is
the holding cost. However, to
calculate the Reorder Point or when is the time to order the materials
or stock is R = dL where
d is the Average Daily Demand and L is the Lead Time on ordering the materials. The
formula to calculate the annual cost that is needed to be spent in a year for the demand
![]()
Where C
is Cost per Unit, and Q is Quantity.
But
by this time, when a company has just only operated for several months there are
not enough data for the required numbers of data (30 data or a year) to do the calculation on estimating
the number of Optimal Order Quantity, the Reorder
Point, and also the Annual Total Cost. Therefore, this subject is really important and useful for the sake of the company�s
journey, in the long run, hence the calculation and estimation can be done after it has enough
data to be processed and analyzed.
The method used: the method of work sampling by L.H.C. Tippett. Determine
the normal time & standard time for workers in making goods. Example An engineer can work 80% of the
time at a factor rating of 100%. The engineer can roughly make 4 products within 6 months. Provided reserve time
for 10% of total work time. Normal working
time & standard work time for
each product unit
Answer:
NT��������� = (total time)
(% works) (RF) / product unit
= 259,200 minutes x 0.80 x 1.00 / 4
� = 51,840
minutes / unit of product (864 hours)
Note: This calculation is based on estimation (holding
cost, considering that the company
has not been running for
a year) and supplier field data. Based on the demand that was
proposed by the Transportation Agency, it is
estimated that the company has material requirements of 40 units/year.
Message fee of Rp. 500,000 / order.
Estimated the save fee is 20% of the material purchase price. The supplier offers a special offer for the procurement of
these materials in the form of discounted prices. The conditions are as follows:
�
>50 pieces = 8,750,000
�
10-49
pieces = 9,000,000
1. >50 pieces :
c = 8,750,000
H
= 0,2 . 8,750,000 = 1,750,000
EOQ = √2 . 40
. 500,000 / 1,750,000 = 4,780
TC
= 40 . 8,750,000 + 1,750,000 . 4,780 /
2 + 500,000 . 40 / 4,780 = 358,366,600
2.
10-49
pieces ; c = 9,000,0000
H
= 0,2 . 9,000,000 = 1,800,000
EOQ = √2 . 40
. 500,000 / 1,800,000 = 4,714
TC
= 40 .
9,000,000 + 1,800,000
.( 4,714 / 2 )+ 500,000
. (40 / 4,714)
= 458,522,600
Conclusion: Based on the above calculation, it is certain that
point A will be selected because
has the smallest cost.
CONCLUSION
The company still needs to develop to compete
with the competitors (who are engaged
in the same field). This business must meet the needs between
effectiveness and price of its
customers. Must have a good marketing and operational
strategy to gain more customers and keep the business sustained in a disruptive era. The future challenge is very challenging for this business
to arrange a new strategy to meet market demand and global change. All the operations management tools are useful for the demand for services in Indonesia.
In addition, customer satisfaction is a priority,
therefore will continue to innovate
and try to provide the best service to consumers. The presence of a 24-hour hotline to receive customer
complaints I feel is one form of responsibility from the company.
Building a laboratory seems to be needed
shortly given the many
demands in the three cities as a preliminary experiment. It is hoped that with good management operations, this business can dominate and be irreplaceable, given the purpose of
establishing this company is to be a solution to the bottleneck and effectiveness of the government budget.
BIBLIOGRAPHY
Atnafu,
Daniel, & Balda, Assefa. (2018). The impact of inventory management
practice on firms� competitiveness and organizational performance: Empirical
evidence from micro and small enterprises in Ethiopia. Cogent Business &
Management, 5(1), 1503219.
Cooper,
Donald R., Schindler, Pamela S., & Sun, Jianmin. (2006). Business
research methods (Vol. 9). Mcgraw-hill New York.
Ginting,
Rosnani, Ishak, Aulia, Malik, Alfin Fauzi, & Satrio, M. Riski. (2020a).
Integration of kansei engineering and quality function deployment (qfd) for
product development: a literature review. IOP Conference Series: Materials
Science and Engineering, 1003(1), 12020. IOP Publishing.
Ginting,
Rosnani, Ishak, Aulia, Malik, Alfin Fauzi, & Satrio, M. Riski. (2020b).
Product development with quality function deployment (QFD): a literature
review. IOP Conference Series: Materials Science and Engineering, 1003(1),
12022. IOP Publishing.
Greer,
Liz, Fraser, Janet L., Hicks, Drennan, Mercer, Mike, & Thompson, Kathy.
(2018). Intelligent transportation systems benefits, costs, and lessons
learned: 2018 update report. The United States. Dept. of Transportation. It's
Joint Program Office.
Krajewski,
Lee J., Malhotra, Manoj, Malhotra, Naresh, Ritzman, Larry, & Krajewski,
Lee. (2015). Operations management. Pearson Education, Limited.
Le,
Duc Nha, Le Tuan, Loc, & Tuan, Minh Nguyen Dang. (2019). Smart-building
management system: An Internet-of-Things (IoT) application business model in
Vietnam. Technological Forecasting and Social Change, 141, 22�35.
Luturlean,
Bachruddin Saleh, & SE, M. M. (2019). Strategi Bisnis Pariwisata.
Humaniora.
Papa,
Enrica, & Lauwers, Dirk. (2015). Smart mobility: Opportunity or threat to
innovate places and cities. 20th International Conference on Urban Planning
and Regional Development in the Information Society (REAL CORP 2015), 543�550.
Perera,
Srinath, Ingirige, Bingunath, Ruikar, Kirti, & Obonyo, Esther. (2017). Advances
in Construction ICT and e-Business. Routledge, Taylor & Francis Group.
Raza,
Khalid, Patle, V. K., & Arya, Sandeep. (2012). A review on green computing
for eco-friendly and sustainable it. Journal of Computational Intelligence
and Electronic Systems, 1(1), 3�16.
Saleh,
Lalu Muhammad. (2018). Man Behind The Scene Aviation Safety. Deepublish.
Stergiou,
Christos, & Psannis, Kostas E. (2017). Recent advances delivered by Mobile
Cloud Computing and Internet of Things for Big Data applications: a survey. International
Journal of Network Management, 27(3), e1930.
Wallemacq,
Pascaline, Below, Regina, & McClean, Denis. (2018). Economic losses,
poverty & disasters: 1998-2017. United Nations Office for Disaster Risk
Reduction.
Widodo,
Kuncoro Harto, Parikesit, Danang, Dewanti, M., Basalim, Said, Purwoto, Hengki,
Nugroho, Deni Prasetio, & Perdana, Yandra
Rahadian. (2020). Logistik Perkotaan di Indonesia. UGM PRESS.