Ketika saya mengampu mata kuliah permodelan sistem, di mana mata kuliah ini merupakan mata kuliah untuk mahasiswa tingkat 3, saya menugaskan mahasiswa untuk melakukan sebuah penelitian sederhana dengan menerapkan prinsip - prinsip ilmiah ke lapangan langsung. Saya juga menantang mereka untuk dapat mempresentasikan hasil penelitian mereka dengan tampilan slide yang tidak biasa dan menjemukan. Hingga akhirnya, inilah beberapa di antaranya. Bagaimana menurut Anda?

1. TEAM 14
Modelling
Depok Town Square’s
Parking System

2. THE MEMBER
Aris Muzaqi (1306370171)
Denny Kurniawan (1306370215)
Edwin Satya W. (1406642776)
Hutama Dwantara (1306448054)
Nurfitriana Tri Utami (1306393105)
Octika Adinda Putri (1306446686)
Sayidul Fikri (1306370013)

3. OUTLINE
Problem
Definition
Model
ConceptualizationData Collection
& Analysis
Model
Construction
Validation &
Verification Conclusion

4. 1Problem
Definition
What : Antrian
Where : Depok Town
Square,
Margonda
When : Peak hour
Who : Motorcycle user
Why/How : Keterbatas
fasilitas
Antrian pada Peak-hour yang dialami
para pengendara motor di Depok Town
Square yang disebabkan karena
keterbatasan fasilitas

5. 2Model
Conceptualization
FLOW
CHART

6. 3Data Gathering
And Analysis
Data
needed
Arrival
rate
Service
Time
Searching
time
Our peak-hour assumption : on Saturday @
13.00 – 19.00

7. PROVEN!!
4604 on Saturday

8. Arrival
Rate
DistributionLocation :
DETOS
Parking
Area
Date :
Saturday,
26-­‐09-­‐2015

9. A Few of Service Time Data

10. Service
Time
and
Service
Rate
Service Rate : 7 motor per minute
With standarddeviation: 2.2
Service
Time
Distribution

11. Average Searching Time Per Block
Parking Area
Length : 90 m
Width : 30 m
Capacity : 1100 motor

12. Parking Time

13. Model
Construction4 ARRIVALS

14. Model
Construction4 ENTITIES

15. Model
Construction4 LOCATION

16. Model
Construction4 PROCESSING

17. 5Validation and
Verification
Spreadsheet Validation
VS.
From Spreadsheet
Lq = 5.14
Wq = 0.86
From ProModel
Lq = 5.14
Wq = 0.86
MATCH!
VERSUS

18. 5Validation and
Verification
Running Traces
The Tracing
process is
successfully
ran

19. 5Validation and
Verification
Sensitivity Analysis
The service time
increased by 8,5
(previous = 8,27)
second
Then, the Average
number of customers
in the queue is
increased to by 6,53
(previous = 5.14)
So, by the changes
of the variable, it
changes the amount
of the data to
This makes it a
valid model

20. 5Validation and
Verification
Extreme Condition Test (Minimal condition)
0 Arrivals = 0 data
from the model
VALID

21. 5Validation and
Verification
Extreme Condition Test (Maximum condition)
Arrival frequency
= p(1) sec
The model still
ran fully
VALID

22. 5Validation and
Verification
Verification (using Debug)

23. 6 Conclusion
1. The peak time of the mall’s customer arrival is on Saturday,
at 13.00 until 19.00 based on expert judgement and
Historical Data from the parking vendor
2. Arrival Rate = 6 Motor/minute
Service Time = 8,27 second
3. The average time of the queue is 0,86 Minute at the peak
time
4. The length of the queue is 5 motorcycle/minute
The capacity of the parking lot is optimal and does not need
improvements (assuming the service time standard is 1
minute/motor and searching time is 2 minutes) based on the
data we collected, our data is below those standards
The parking counter machine is also optimal and does not
need improvements. Because the automatic machine that
works simultaneously and the amount of server is enough
based on the model that producing the small amount of
queue number

24. THANK YOU!