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. SYSTEM
MODELLING
Alicia
Ti
-­‐ 1306404443
Anggit
Prakoso
-­‐ 1306393156
Christy
Atikarani
-­‐ 1406642763
Laura
Karina
-­‐ 1306370096
Nadhila
Taufiqa
-­‐ 1306393901
Vincencia
Sydneyta– 1306446742
Dosen
Pembimbing
:
Arry
Rahmawan,
ST,
MT
P

2. OUTLINE
02
03
04
05
01 Problem
Formulation
Model
Conceptualization
Data
Gathering
and
Analysis
Model
Construction
Validation
and
Verification
Conclusion
and
Suggestions06

3. Problem Formulation
“Kurang optimalnya utilisasi lahan parkir
dan server yang ada di Parkiran Motor
A Senayan City Mall mengakibatkan
waktu antrean dan pencarian tempat
parkir masing-masing melebihi 2 menit pada
saat peak time. Hal ini akan menyebabkan
ketidaknyamanan bagi pengunjung
yang datang”
1. Problem Formulation 2. Model Conceptualization 3. Data Gathering 4. Model 5. Validation 6. Conclusion

4. Model Conceptualization
1. Problem Formulation 2. Model Conceptualization 3. Data Gathering 4. Model 5. Validation 6. Conclusion

5. Data Gathering
1. Problem 2. Model Conceptualization 3. Data Gathering & Analysis 4. Model 5. Validation 6. Conclusion
DATA PRIMER DATA SEKUNDER
Observation
Wawancara
• Demi mendapatkan hasil
data yang akurat, tim kami
melakukan wawancara
dengan pihak manajer dan
petugas penjaga loket
Studi Pustaka
• Tim kami juga membaca
literatur dan referensi -
referensi terkait dengan
penelitian ini
Senayan City Mall
Parkiran Motor A
Sabtu, 3 Oktober 2015
Pk. 10.00-20.00 WIB
Server tunggal &
antrean tunggal dengan
kapasitas 245 motor

6. Data Analysis
1. Problem 2. Model Conceptualization 3. Data Gathering & Analysis 4. Model 5. Validation 6. Conclusion
Peak Hour :
Pk 14.00-20.00WIB

7. Data Analysis
1. Problem 2. Model Conceptualization 3. Data Gathering & Analysis 4. Model 5. Validation 6. Conclusion
DATA AVERAGE INTER-ARRIVAL TIME
Time Interval Average Inter-Arrival Time (s)
10:00 -11:00 133
11:00 - 12:00 62
12:00 - 13:00 47
13:00 - 14:00 42
14:00 - 15:00 32
15:00 - 16:00 22
16:00 - 17:00 24
17:00 - 18:00 15
18:00 - 19:00 19
19:00 - 20:00 27
Standar Deviation 33
Average Inter-Arrival Peak Time 23
Arrival Rate (λ) 166
Service Rate (μ) 300
Number of Server 1

8. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Model Construction
Location
Layout
Entities

9. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Results
Dari 100%, hanya 4,69% yang
mengantri di loket masuk

10. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Results Panjang antrean maksimal di
loket masuk adalah 11

11. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Results
Kapasitas area parkir
masih belum 100% full
Berarti kapasitas lahan
pakir yang ada saat ini
masih memadai

12. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Results
Waktu tunggu masih kurang
dari 2 menit

13. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation
1.Watching the Animation
Watch the video!
(attached)

14. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation
2. Degeneracy & Extreme
ConditionTest

15. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation
2. Degeneracy & Extreme
Condition Result

16. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation
2. Degeneracy & Extreme
Condition Result

17. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation
3. Sensitivity AnalysisTest

18. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation
3. Sensitivity Analysis Result

19. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation
4. RunningTraces

20. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Validation
5. Comparison with spreadsheet
DATA AVERAGE INTER-ARRIVAL TIME
Time Interval Average Inter-Arrival Time (s)
10:00 -11:00 133
11:00 - 12:00 62
12:00 - 13:00 47
13:00 - 14:00 42
14:00 - 15:00 32
15:00 - 16:00 22
16:00 - 17:00 24
17:00 - 18:00 15
18:00 - 19:00 19
19:00 - 20:00 27
Standar Deviation 33
Average Inter-Arrival Peak Time 23
DATA
ARRIVAL
TIME,
INTER-­‐ARRIVAL
TIME,
AND
SERVICE
TIME
Hour Minutes
Second
29 13
22 13Average
Peak
Time
No.
Arrival
Time
Inter-­‐Arrival
(s)
Average
Service
Time
(s)
Promodel Spreadsheet
Average
Server
Utilization
(ρ) 0.58 0.55
Average
Number
of
Customers
in
the
Queue
(Lq) 0.58 0.69
Average
Waiting
Time
in
the
Queue
(Wq) 0.23 0.25
Probability
(%
of
Time)
System
is
Empty
(Po) 0.42 0.45

21. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Verification

22. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Verification
Well verified!

23. 1. Problem 2. Model 3. Data Gathering & Analysis 4. Model Construction 5. Validation & Verification 6. Conclusion
Conclusion & Suggestion
• Waktu antrean dan pencarian parkir di parkiran
motor A Senayan City Mall tidak lebih dari 2
menit. Kapasitas tempat parkir pun masih memadai
di saat peak time.
• Namun,jalan untuk mengantri di loket masuk dapat
diperluas sehingga tidak menyusahkan pengunjung
yang harus keluar karena tidak membawa STNK.

24. Thank
you
Alicia
Ti
-­‐ 1306404443
Anggit
Prakoso
-­‐ 1306393156
Christy
Atikarani
-­‐ 1406642763
Laura
Karina
-­‐ 1306370096
Nadhila
Taufiqa
-­‐ 1306393901
Vincencia
Sydneyta
-­‐ 1306446742